EarthStuff

On-Demand Global Landsat Evapotranspiration Product

EarthStuff — Thu, 03 Sep 2026 04:21:11 GMT

https://doi.org/10.1016/j.rse.2026.115633 <-- shared paper

https://espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform

https://etdata.org/ <-- OpenET SSEBop platform implementation (water management)

https://www.usgs.gov/landsat-missions/landsat-collection-2-provisional-actual-evapotranspiration-science-product <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product

H/T @Mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS

“This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …

Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …

It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”

“HIGHLIGHTS

• ESPA platform allows access to on-demand, global, Landsat-based, ET products.

• SSEBop model has been used to create ET data since 1982 through ESPA.

• A quick estimation of field-scale crop consumptive water use can be achieved.

• Numerous orders reflect worldwide extensive interest and utilization of the data.

• Method, workflow, and performance of the actual ET data are presented in the study.

ABSTRACT: Global actual evapotranspiration (ET) is one of the essential climate variables needed to understand and manage the relationships among food, energy, and water resources. The U.S. Geological Survey Earth Resources Observation and Science (EROS) Center launched a provisional ET product in 2020, offering on-demand, field-scale global coverage derived from Landsat data through the EROS Science Processing Architecture (ESPA) platform. The ESPA interface provides ET data for cloud-free Landsat overpasses starting in 1982 with Landsat 4 through the current Landsat 9. The ET data are delivered as a Provisional Level-3 Science product created using the Operational Simplified Surface Energy Balance (SSEBop) model. Landsat surface temperature and reference ET are the main model drivers along with vegetation index and net radiation for model parameterization. A large volume of Landsat-based ET orders (e.g., over 1,200,000 images from June 2020 through December 2025) around the world indicate increasing awareness and application of the ET data. The ESPA platform enables land and water resource managers and researchers to access a first-order ET product without requiring advanced knowledge of remote sensing technology or evapotranspiration modeling. [They] present the methodology and workflow of the on-demand Landsat ET product and its performance evaluations over diverse hydro-climatic settings. The product can help estimate field-scale consumptive water use and thus quickly and consistently assess historical water use, allocation, and budget to inform water management under changing environments. Future ET data aggregated to monthly and seasonal time scales are expected to enhance integration with decision-making tools and procedures…”

#EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow

@USGS @EROS

Rising Waters Swamp Lake Naivasha [Kenya]

EarthStuff — Thu, 03 Sep 2026 04:12:13 GMT

https://science.nasa.gov/earth/earth-observatory/rising-waters-swamp-lake-naivasha/ <-- shared NASA 2026 technical article

https://africasacountry.com/2026/04/the-human-cost-of-kenyas-expanding-lakes <-- shared 2026 technical article

https://carrzee.org/wp-content/uploads/2021/11/kenyarisingwatermenr-scoping-report-latest-5-07-21.pdf <-- shared technical report

https://earth.gsfc.nasa.gov/gwm/lake/91 <-- shared charting, lake water levels

https://doi.org/10.11648/j.ajrs.20180602.13 <-- shared 2018 paper, ‘An Assessment of the Role of Water Hyacinth in the Water Level Changes of Lake Naivasha Using GIS and Remote Sensing’

https://apnews.com/article/kenya-water-hyacinth-invasive-fishing-2ea35d0203bc995a36ddbe32386c1141 <-- shared 2025 media article, ‘How the invasive water hyacinth is threatening fishermen’s livelihoods on … Kenyan [Lake Naivasha]…’

https://apnews.com/article/kenya-rising-lakes-naivasha-baringo-cbfbb0b670f831b9a310309a810a0075 <-- shared 2025 media article

https://www.sei.org/features/revisiting-the-rising-rift-valley-lakes-a-glimpse-into-kihotos-struggles/ <-- shared 2023 technical article

https://www.theguardian.com/world/2022/mar/17/kenya-quiet-slide-underwater-great-rift-valley-lakes-east-africa-flooding <-- shared 2022 media rticle

“Kenya’s Lake Naivasha has long been a place of change and reinvention…

Now the lake faces another major change: rapidly fluctuating water levels. The name Naivasha comes from a Maasai word meaning “that which heaves,” an apt description of the freshwater lake over the past 25 years. Satellite altimetry measurements of the lake’s depth indicate an increase of about 7 metres (23 feet) since 2010, roughly the height of a two-story building. Over the same period, Landsat observed a roughly 40 percent increase in the lake’s area, adding 50 kilometres² (19 miles²) of water, equivalent to roughly 15 Central Parks.

The human and economic toll of the rising water levels is considerable..”

#Kenya #LakeNaivasha #Africa #water #hydrology #hydrography #risingwater #waterlevels #GIS #spatial #mapping #spatialanalysis #spatiotemporal #humanimpacts #farming #agriculture #infrastructure #damage #community #satellite #altimetry #economy #cost #impact #change #flood #flooding #innundation

@NASA @NASA EathData

The Radiative Effects Of Water Vapour From Terrestrial Evapotranspiration

EarthStuff — Wed, 02 Sep 2026 07:32:36 GMT

https://doi.org/10.1088/1748-9326/adde72 <-- shared paper/letter

https://zenodo.org/records/15413219 | https://zenodo.org/records/15416936 <-- shared open data, for “Model information and output for “The radiative effects…” ”

https://doi.org/10.1007/s11269-025-04191-w <-- shared paper

H/T @Jan Umsonst | Earth System Nerd

“Water vapour accounts for roughly 50% of the modern greenhouse effect. Over continental regions, evapotranspiration (ET) is often limited by water availability. In this study, [the authors] spatially quantify how much of the total atmospheric water vapour evaporated most recently from land and calculate the relative contribution of that water vapour to the atmospheric radiative budget. Using a combination of tracer-enabled Earth system model simulations and radiative transfer calculations, [they were] able to explicitly quantify the 3D distribution of terrestrial vs. oceanic water vapour, and the spatial contribution of each to the surface and top of atmosphere radiative budgets. [They found] that over many continental regions, more than half of the total column-integrated water vapour originates from land ET, and that this vapour contributes up to 30 W/m² of longwave radiation into the surface in the annual mean (about 10% of the total). Understanding how terrestrial ET impacts the base-state of water vapour distribution and the water vapour greenhouse effect is critical to understanding how and where changes in terrestrial ET, driven by climate change, land use, etc, will modify the radiative properties of the atmosphere and thus the climate system…”

#water #hydrology #greehouseeffect #highperformancecomputing #HPC #evapotranspiration #Radiative #WaterVapour #spatial #spatialanalysis #spatiotemporal #atmosphere #model #modeling #earthsystemmodelling #terrestrial #oceanic #vapour #climatechange #landuse #changes #climatesystem

New Month Brings New (Work Office Door) Calendar Images

EarthStuff — Wed, 02 Sep 2026 07:20:12 GMT

https://www.geohipster.com/2025/11/20/2026-geohipster-calendar/ <-- shared calendar source

With the new month today, I turned over to two #work #officedoor #calendar pages this morning:

the #LakeOntario one from the @GeoHipster calendar was ‘interesting’ / Alanic
the #MountManganui from on the calendar reminds me of my kiwi background, lots of memories there

#September #GeoHipster #cartography #images #GIS #spatial #mapping #display #lake #Bathymetry #canada

Annual High-Resolution Global Ambient Population Estimates From 1975 To 2024

EarthStuff — Tue, 01 Sep 2026 02:29:13 GMT

https://doi.org/10.31223/X5MV3R <-- shared paper

https://landscan.ornl.gov/

<-- shared webmap and data link (via download -> LandScan Mosaic Time Series)

https://gee-community-catalog.org/projects/landcast/ <-- shared link to GEE community catalog collection ‘LandScan Mosaic Annual Global Ambient Population Time Series’

H/T @Andrew Zimmer || Geographer | Research Scientist @ Oak Ridge National Laboratory

“LSM-TS provides annual global estimates of ambient population from 1975–2024 at ~90 m resolution, creating a spatially and temporally consistent reconstruction of population change designed for longitudinal analysis. Reconstruction of historical populations are driven by current LandScan Mosaic building-level population distributions, scaled by built-surface change from #GHSL … and calibrated to annual national-level estimates from U.S. Census Bureau…”

“LandScan is a globally recognized, R&D100-winning population data platform developed at Oak Ridge National Laboratory (ORNL). Its datasets provide human population distribution estimates down to 100 meter grid resolution. LandScan supports disaster response, humanitarian aid, environmental analysis, and urban planning by providing insights into where people live and how they move…”

“Gridded population data support assessments of human exposure, settlement change, infrastructure demand, and access to services, yet global datasets combining annual coverage over multiple decades with fine spatial resolution remain limited. LandScan Mosaic Time Series provides 50 annual estimates of global ambient population distribution at 3 arc-second resolution from 1975 through 2024. The series is anchored to the 2024 LandScan Mosaic surface, produced through a building-level population modeling workflow. Historical surfaces are reconstructed using annualized changes in built surface and derived first-level administrative population trajectories. Every layer, including 2024, is normalized to administrative targets scaled to annual country totals from the U.S. Census Bureau International Database. The dataset is distributed as 50 single-band Cloud Optimized GeoTIFFs on an identical WGS84 grid, with values representing estimated persons per cell. Its common grid and methodology support fine-scale longitudinal analysis of ambient population distribution while documented validation and limitations guide appropriate reuse…”

#demographics #change #spatiotemporal #1975 #2024 #population #change #grid #global #LandScan #POPGRID #LSMTS #ambientpopulation #GHSL #OakRidge #ORNL #usecase #opendata #disasterresponse #humanitarianaid #environmentalanalysis #urbanplanning #humanexposure #settlementchange #city #rural #infrastructure #demand #accesstoservices #GIS #spatial #mapping #building #outline #model #modeling

@Oak Ridge National Laboratory | National Security Sciences at ORNL | @POPGRID Data Collaborative

Glacier Mass Balance Response To Extreme Precipitation Events In The Western Himalaya, India

EarthStuff — Tue, 01 Sep 2026 02:19:05 GMT

https://doi.org/10.1016/j.gloplacha.2026.105643 <-- shared paper

H/T @Pramod Kumar | PhD from Jwaharlal Nehru University, New Delhi, India.

“This work highlight that the large interannual variability in glacier mass balance is largely associated with fluctuations in accumulation and ablation driven by extreme precipitation events across the Himalaya. These events can temporarily offset annual ice losses by enhancing snow accumulation…”

“HIGHLIGHTS:

• Annual-to-decadal relationships between glacier surface mass balance and extreme precipitation events (EPEs) were identified and analyzed for the western Himalaya.

• Although negative mass balance dominates in the region, extreme precipitation events (0–5/year) are linked to less negative and positive mass balance years through increased snowfall.

• NAO/AO phases increase Western Disturbance frequency/intensity, promoting accumulation; Western Disturbances (60.2%) control EPEs with wintertime snowfall.

ABSTRACT: Extreme precipitation events can drive anomalous snow accumulation on Himalayan glaciers, thereby affecting short-term variations in mass balance. Over the past five decades, an accelerated mass loss of Himalayan glaciers has been observed, making it critical to assess the role of precipitation, particularly extreme events in modulating glacier health. This study compiles 182 in situ glacier-wide mass-balance observations from 26 glaciers in the western Himalaya, India, from 1974 to 2023. Observing an alarming negative cumulative mass balance of around −26 ± 1.67 m w.e., with more frequent years in recent decades showing negative mass balance exceeding −1.5 m w.e. / a, highlights the ongoing severity of glacier mass loss. However, over several years, there have been relative mass-balance gains or reduced losses, often linked to extreme precipitation events (EPEs), with annual fluctuations between 0 and 5 events. Cross-correlation analysis supports this, showing a direct response of glacier mass balance to EPEs variability. The EPEs are mainly fed by moisture supply from Western Disturbances (60.2%), followed by the Indian Summer Monsoon (16.4%), cyclogenesis (6.3%), and WD–cyclogenesis interactions (4.6%), while other synoptic systems account for the remaining ∼12%, together driving strong moisture convergence and severe precipitation episodes. These synoptic drivers determine the frequency and intensity of EPEs and influence the precipitation phase snow versus rain, thus impacting accumulation and melt processes differently. Statistical evidence indicates that EPEs temporarily increase accumulation, counteracting seasonal mass losses in certain years with moderate same-year sensitivity…”

#Glacier #massbalance #extremeweather #precipitation #WesternHimalaya #WesternDisturbances #IndianSummer #Monsoon #cyclogenesis #rainfall #Himalaya #India #interannual #variation #accumulation #ablation #extremeprecipitation #snowfall #snowaccumulation #glacierhealth #cryosphere

SOME SHARED SPATIAL/GIS ROLES & OPPORTUNITIES

EarthStuff — Sun, 30 Aug 2026 02:27:11 GMT

I am NOT associated with HR/recruiting in ANY way
Therefore, these are NOT endorsements, and there are no ‘referrals’ or the like for me
I am simply sharing SOME roles that I have seen – in the hope that they are of use to someone
As such, I am not (and indeed can not) in any way ‘vet’ these roles (i.e., you are advised to conduct your own due diligence due to hideous, potential risks like fraudulent postings, ‘ghost jobs’, résumé/ATS ‘improvement’ scammers, etc)
Further, roles listed are in no specific order (i.e., simply as I ‘encountered’ them during the week)
There is ZERO cost to access this list of spatial / GIS roles
I am not (really) ‘mining’ US Federal government roles - with the ‘hiring freeze’, uncertainty, etc
You can subscribe to (a) the (free) weekly LinkedIn newsletter www.linkedin.com/build-relation/newsletter-follow?entityUrn=7397678824928366594 or (b) also for free at earthstuff.substack.com - if so inclined

#fridayjobs #gischat #jobsonfriday #GIS #spatial #mapping #cartography #geography #job #jobopenings #hiring #newjob #employment #roles #GISJobs #NotARecruiter #fridayspatialjobs #scholarship #PhD #PostDoc #CareersInSpatial #career #openroles #Geomatics #GIS #Innovation #Growth #caveatNONemptor #LetsGetYouHired #GISCareer #GISStudents #PhD #postdoc #hiringalert #GISjobs #careeropportunity #NowHiring #spatialanalysis #GIS #Geospatial #GISSpecialist #Geomatics #OpenToWork

GENERAL SPATIAL ROLE RESOURCES/LINKS:

aka various and ongoing ‘external’ spatial roles & other career resources
ZERO affiliations

—

GIS Jobs Australia [and New Zealand]

H/T @Dean Howell

https://gisjobs.com.au/ | https://www.linkedin.com/company/together-spatial/

—

GeoSearch

H/T

https://geosearch.com/

—

GIS Career Growth Guide And Weekly List Of Open Roles (global)

[incl. SubStack newsletter, subscriptable]

H/T

—

“Running List Of 300+ Companies Hiring For Geospatial & Climate-Tech Roles”

H/T

https://www.linkedin.com/pulse/running-list-200-companies-hiring-geospatial-roles-ali-ahmadalipour

—

MULTIPLE Roles Across The USA Via The Government Jobs Site

https://www.governmentjobs.com/jobs?keyword=GIS&location=

—

Open Jobs In Geospatial

[LinkedIn newsletter, subscriptable]

H/T @Women+ in Geospatial

https://www.linkedin.com/newsletters/open-jobs-in-geospatial-7290767664707215360/

—

My GIS Jobs

[“Discover the latest job openings in GIS. [They] feature hundreds of new GIS job openings every month. Visit [their] job search page to find GIS jobs.”]

H/T @My GIS Jobs

https://www.mygisjobs.com/

—

Wisconsin Geospatial Jobs [and some MN also]

H/T @WI State Cartographer’s Office

https://www.sco.wisc.edu/jobs/

LinkedIn Group - GIS Jobs

https://www.linkedin.com/groups/2864431/

—

Illinois GIS Association (ILGISA) - Job Board

https://ilgisa.mcjobboard.net/jobs

—

Inland Empire GIS User Group [CA]

https://www.iegis.org/jobs

—

GIS Career Hub

[global, spatial role scraper, ‘caveat emptor’]

https://giscareerhub.com/

INDIVIDUAL ROLES NOTED:

International Hydrospatial Project Manager

Woolpert [remote (USA)]

https://www.linkedin.com/jobs/view/4456428776/

Senior Geospatial Data Engineer

CACI International Inc [CO]

https://www.linkedin.com/jobs/view/4399048304/

GIS Coordinator

Alderwood Water & Wastewater District [WA]

https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=19ea8fc8-4b62-40e3-89b5-2836b928ceb6&ccId=19000101_000001&type=MP&lang=en_US&jobId=518920

Assistant/Associate Professor in Urban Studies (Urban Planning/Geography Focus) Loyola Marymount University [CA]

https://lmu.wd1.myworkdayjobs.com/en-US/Careers/job/Assistant-Associate-Professor-in-Urban-Studies--Urban-Planning-Geography-Focus-_R15473

Senior Engineering Manager - AI Geospatial Assistant Team Planet [CA]

https://www.planet.com/company/careers/?jobid=7603801

Senior Engineering Manager - AI Geospatial Assistant Team Planet [CA]

https://www.planet.com/company/careers/?jobid=7603801

GIS Specialist

[unknown] [Saudi Arabia]

https://lnkd.in/p/ggJQRh2V

Geospatial Scientist

Lynker [CO]

https://www.linkedin.com/jobs/view/4447194275

Senior Geospatial Data Engineer

CACI International Inc [CO]

https://www.linkedin.com/jobs/view/4399048304

Water GIS Intern

City of Aurora [water] [CO]

https://auroragov.wd1.myworkdayjobs.com/en-US/Careers/details/Water-GIS-Intern_JR109039

Senior GIS Analyst

Tualatin Valley Fire & Rescue [OR]

https://www.governmentjobs.com/careers/tvfr/jobs/5433424/senior-gis-analyst

GIS Supervisor

AECOM [Australia]

https://www.linkedin.com/jobs/view/4457462553/

GIS Technician

Orange County Government [FL]

https://www.linkedin.com/jobs/view/4456853912/

Senior GIS Analyst

Tacoma Public Utilities [WA]

https://www.linkedin.com/jobs/view/4456608389/

GIS Technician[multiple (?)]

Leidos [remote (USA)]

https://careers.leidos.com/jobs/18173266-gis-technician | https://careers.leidos.com/jobs/18133082-gis-technician

Junior GIS Analyst

Leidos [FL]

https://careers.leidos.com/jobs/17867303-junior-geographic-information-systems-analyst

GIS Analyst (Mid-Level / Database Coordinator) [clearance] Leidos [FL] https://careers.leidos.com/jobs/17867300-geographic-information-systems-analyst-mid-level-slash-database-coordinator

Cartographic Analyst TW Mid [clearance]

Leidos [VA]

https://careers.leidos.com/jobs/18171372-cartographic-analyst-tw-mid

Mid Cartographic Analyst [clearance]

Leidos [VA]

https://careers.leidos.com/jobs/17808165-mid-cartographic-analyst

Cartographic Analyst 1st Mid [clearance] Leidos [VA] https://careers.leidos.com/jobs/18171373-cartographic-analyst-1st-mid

Cartographic Analyst 2nd Mid [clearance] Leidos [VA] https://careers.leidos.com/jobs/18171371-cartographic-analyst-2nd-mid

Cartographic Analyst Junior [clearance]

Leidos [VA]

https://careers.leidos.com/jobs/18156191-cartographic-analyst-junior

Cartographer [clearance]

Leidos [MO]

https://careers.leidos.com/jobs/18032209-cartographer

Grid Modernization Engineer ADMS

Leidos [NJ]

https://careers.leidos.com/jobs/17887587-grid-modernization-engineer-adms

Senior Project Manager

Center for Geospatial Solutions (CGS), Lincoln Institute of Land Policy [D.C.] https://www.linkedin.com/jobs/view/4459050561/

GIS Service Technician

Historic Environment Scotland [UK]

https://ekov.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/451

Geospatial Analyst, Senior

Booz Allen Hamilton [CO]

https://www.linkedin.com/jobs/view/4455368506/

GIS Specialist

McMillen [CO]

https://www.linkedin.com/jobs/view/4444515507/

Geospatial Analyst, Mid

Booz Allen Hamilton [CO]

https://www.linkedin.com/jobs/view/4455362586/

Senior Utility GIS Analyst

KaiHonua [CO]

https://www.linkedin.com/jobs/view/4445631170/

Senior Geospatial Data Scientist

Lincoln Institute of Land Policy [D.C.]

https://www.linkedin.com/jobs/view/4454577023/

Data Visualization Engineer

Planet [CA]

https://www.linkedin.com/jobs/view/4440858542/

Geospatial Data Scientist

BAE Systems, Inc. [VA | GA]

https://www.linkedin.com/jobs/view/4410662088/ | https://www.linkedin.com/jobs/view/4447313066/

Director, Spatial Data Management

Cushman & Wakefield [MO]

https://www.linkedin.com/jobs/view/4449682617/

Geomatics Director

VHB [VA]

https://www.linkedin.com/jobs/view/4402758281/ | https://www.linkedin.com/jobs/view/4402773119/ | https://www.linkedin.com/jobs/view/4402771140/

Senior Geospatial Data Engineer

Vantor [VA]

https://www.linkedin.com/jobs/view/4433380072/

GIS & Data Manager

Austin EcoNetwork [CO]

https://www.linkedin.com/jobs/view/4457619445/

Director of Geographic Data Research (GDR)

City of New York [NYC]

https://www.linkedin.com/jobs/view/4456960012/

GIS Analyst

Town of Cary [NC]

https://www.linkedin.com/jobs/view/4460376791/

GIS Data Administrator

Ferno Energy [UT]

https://www.linkedin.com/jobs/view/4446252861/

Geospatial Analyst II

Dewberry [WA]

https://www.linkedin.com/jobs/view/4448552629/

Knowledge Graph Engineer II

Lincoln Institute of Land Policy [D.C.]

https://www.linkedin.com/jobs/view/4450660256/

Geospatial Data Analyst

Bart & Associates, Inc. [VA]

https://www.linkedin.com/jobs/view/4458655738/

Data Scientist-GEOINT

PatchPlus Consulting [CO]

https://www.linkedin.com/jobs/view/4458437422/

Staff Software Engineer, Maps Services

Samsara [remote (USA)]

https://www.linkedin.com/jobs/view/4456521731/

GIS Technician

Douglas Fast Net [OR]

https://www.linkedin.com/jobs/view/4457151609/

GIS Engineer

Vantor [VA]

https://www.linkedin.com/jobs/view/4402182499/ | https://www.linkedin.com/jobs/view/4402185063/

Senior GIS Data Specialist

[unknown] [NM]

https://www.linkedin.com/jobs/view/4449093915/

Product Manager II, Maps 3D and AI

Google [CA]

https://www.linkedin.com/jobs/view/4449399307/

Senior Geospatial Project Manager

Dewberry [FL]

https://www.linkedin.com/jobs/view/4457159523/

Research Specialist (Geospatial/Stats)

CNA Corporation [TX]

https://www.linkedin.com/jobs/view/4459429530/

GIS Tech Specialist, Sr Supervisor

Southern California Edison (SCE) [CA]

https://www.linkedin.com/jobs/view/4460574857/

Senior GNSS Data Scientist

The University of Texas at Austin

https://www.linkedin.com/jobs/view/4458292123/

Project Manager – Geomatics

Merrick & Company [CO]

https://www.linkedin.com/jobs/view/4458693399/

Remote Sensing Engineer

Riverside Research [VA]

https://www.linkedin.com/jobs/view/4459630150/

GIS Developer

Fervo Energy [UT]

https://www.linkedin.com/jobs/view/4446674068/

GIS Engineer (Senior)

Vantor [VA]

https://www.linkedin.com/jobs/view/4402185052/

GIS Analyst I & II [multiple]

Fulton County [GA]

https://www.linkedin.com/jobs/view/4458423882/ | https://www.linkedin.com/jobs/view/4458418908/

GIS Analyst - Center for Local Planning

University of Tennessee [TN]

https://www.linkedin.com/jobs/view/4459049526/

Catastrophe Risk Modeler [incl. spatial]

National Association of Insurance Commissioners (NAIC) [MO]

https://www.linkedin.com/jobs/view/4458679464/

GIS Analyst

Tetra Tech [NY]

https://www.linkedin.com/jobs/view/4453623710/

Principal GIS Consultant — GeoAI & Spatial Intelligence

WSP in the U.S. [MI]

https://www.linkedin.com/jobs/view/4429372194/

Mountain Pacific Geomatics Regional Manager

WSP in the U.S. [CO | NM | AZ | UT | NM]

https://www.linkedin.com/jobs/view/4439459487/ | https://www.linkedin.com/jobs/view/4439462468/ | https://www.linkedin.com/jobs/view/4439467302/ | https://www.linkedin.com/jobs/view/4439450977/ | https://www.linkedin.com/jobs/view/4440059246/

Product Manager, Geo Auto Data Platform

Google [CA]

https://www.linkedin.com/jobs/view/4450371351/

Director of Geographic Data and Engineering (GDE)

City of New York [NYC]

https://www.linkedin.com/jobs/view/4456944808/

Director, Army Geospatial Center

US Army Corps of Engineers [VA]

https://www.linkedin.com/jobs/view/4459166393/

GIS Technician

Carlson, Brigance & Doering, Inc. [TX]

https://www.linkedin.com/jobs/view/4458965839/

GIS Systems Engineer II

Oceaneering [MD]

https://www.linkedin.com/jobs/view/4432400783/

International Hydrospatial Project Manager

[unknown] [remote (USA)]

https://www.linkedin.com/jobs/view/4457758700/

Software Engineer - Mapping Data Software

Zoox [CA]

https://www.linkedin.com/jobs/view/4431899464/

GIS Specialist II-III [internship (?)]

Texas Parks and Wildlife Department [TX]

https://www.linkedin.com/jobs/view/4460828529/

GIS Programmer (Systems Programmer II)

Center for Digital Government [MD]

https://www.linkedin.com/jobs/view/4457220771/

Geospatial Analyst – Senior

BAE Systems [GA]

https://www.linkedin.com/jobs/view/4446696770/

GIS Analyst

University of Florida

https://www.linkedin.com/jobs/view/4458680591/

GIS Specialist

AECOM [MA]

https://www.linkedin.com/jobs/view/4456284203/

Mapping & Spatial Records Specialist

City of New York [NYC]

https://www.linkedin.com/jobs/view/4458496361/

Senior Program Manager - Remote Sensing

Umbra [VA]

https://www.linkedin.com/jobs/view/4460107762/

SIGINT Geospatial Analyst

Metrea [D.C.]

https://www.linkedin.com/jobs/view/4439357825/

Lead GIS Analyst

Diamondback Energy [OK]

https://www.linkedin.com/jobs/view/4449460690/

GIS Programmer (Systems Programmer II)

Anne Arundel County Office of Personnel [MD]

https://www.linkedin.com/jobs/view/4459322303/

Technical Program Manager, AI Enablement, Geo Expansion and Location Strategy

Google [WA | TX | CA | GA | VA]

https://www.linkedin.com/jobs/view/4457442420/ | https://www.linkedin.com/jobs/view/4457443440/ | https://www.linkedin.com/jobs/view/4457462376/ | https://www.linkedin.com/jobs/view/4457451333/ | https://www.linkedin.com/jobs/view/4457449528/

GIS/Cartography Technician 1

Garmin [MO | KS]

https://www.linkedin.com/jobs/view/4458548517/ | https://www.linkedin.com/jobs/view/4459343637/

GIS Developer

Interclypse [MD]

https://www.linkedin.com/jobs/view/4459648193/

Geospatial Analyst, Senior

Booz Allen Hamilton [GA]

https://www.linkedin.com/jobs/view/4441663235/

Geospatial Analyst III

Dewberry [VA]

https://www.linkedin.com/jobs/view/4447172364/

GIS Analyst II

Coconino County Sheriff’s Office (Patrol) [AZ]

https://www.linkedin.com/jobs/view/4460367953/

Senior Geospatial Project Manager

1898 & Co. [MO]

https://www.linkedin.com/jobs/view/4430993082/

GIS Specialist II, III, Sr

Georgia Power Company [GA]

https://www.linkedin.com/jobs/view/4453152603/

Geospatial Specialist

Stantec [VA | WI | WI]

https://www.linkedin.com/jobs/view/4460554912/ | https://www.linkedin.com/jobs/view/4460553928/ | https://www.linkedin.com/jobs/view/4460556909/

Senior GIS Analyst

City of Pasadena [CA]

https://www.linkedin.com/jobs/view/4458057215/

Manager of Geospatial Training & Support

Duncan-Parnell [VA]

https://www.linkedin.com/jobs/view/4437174258/

Utility GIS Analyst

KaiHonua [CO]

https://www.linkedin.com/jobs/view/4459342438/

Geodesist

Fermilab [IL]

https://www.linkedin.com/jobs/view/4457493745/

Geospatial Analyst — Senior and Expert

Altamira Technologies Corporation [GA]

https://www.linkedin.com/jobs/view/4457951682/

GIS Analyst - Power, Energy and Infrastructure

Lazard [TX]

https://www.linkedin.com/jobs/view/4421866037/

Technical Product Manager, 3D Geospatial Products

Array Labs [D.C.]

https://www.linkedin.com/jobs/view/4419384024/

GIS Analyst

Quiddity [TX]

https://www.linkedin.com/jobs/view/4460516024/

GIS Specialist

City of Republic [MO]

https://www.linkedin.com/jobs/view/4458948963/

Principal Engineer, GIS

Niyam IT [VA]

https://www.linkedin.com/jobs/view/4458935260/

Senior Research Engineer - Computer Vision & Geospatial AI

Novateur Research Solutions [VA]

https://www.linkedin.com/jobs/view/4457163234/

GIS Technician II

Washington County [OR]

https://www.linkedin.com/jobs/view/4460802589/

GIS Lead Consultant

Infosys [TX]

https://www.linkedin.com/jobs/view/4448485135/

Senior GIS Analyst

Tualatin Valley Fire & Rescue [OR]

https://www.linkedin.com/jobs/view/4458316105/

GIS Technician

City of Santa Fe Springs [MN]

https://www.linkedin.com/jobs/view/2148454781/

GIS Administrator

City of Denton [TX]

https://www.linkedin.com/jobs/view/4458030318/

GNSS Support Specialist

Trimble [CO]

https://www.linkedin.com/jobs/view/4432877583/

GIS Analyst II

Coconino County [AZ]

https://www.linkedin.com/jobs/view/4458426637/

GIS Cartography Specialist

Pinal County [AZ]

https://www.linkedin.com/jobs/view/4458047297/

Analyst, GIS

DESRI [ME]

https://www.linkedin.com/jobs/view/4439467614/

GIS Specialist / GIS Administrator

KEITH [FL]

https://www.linkedin.com/jobs/view/4456532230/

Manager, GIS

IQ Fiber [FL]

https://www.linkedin.com/jobs/view/4455892647/

Staff Machine Learning Engineer – Mapping

General Motors [MI]

https://www.linkedin.com/jobs/view/4449917206/

Geospatial Analyst

Stantec [OH]

https://www.linkedin.com/jobs/view/4460555892/

GIS Technician I

H²O America [CA]

https://www.linkedin.com/jobs/view/4460112361/

GIS Analyst

City of Fredericksburg [VA]

https://www.linkedin.com/jobs/view/4458284317/

GIS Analyst II

Gulf Companies [TX]

https://www.linkedin.com/jobs/view/4430817055/

Senior GIS Analyst / Project Manager

VHB [VT]

https://www.linkedin.com/jobs/view/4440636252/

Graduate Scientist [incl. spatial]

GHD [CO]

https://www.linkedin.com/jobs/view/4439472311/

Senior Software Engineer, Mapping - Autonomous Vehicles

NVIDIA [CA]

https://www.linkedin.com/jobs/view/4450019094/

GIS Specialist

LVI Associates [FL]

https://www.linkedin.com/jobs/view/4458283961/

Senior Geospatial Intelligence Analyst

Applied Development [NC]

https://www.linkedin.com/jobs/view/4456957228/

Reimagining STEM Workforce Development As A Braided River

EarthStuff — Sat, 29 Aug 2026 02:46:24 GMT

--
https://eos.org/opinions/reimagining-stem-workforce-development-as-a-braided-river <-- shared technical article/commentary
--
https://doi.org/10.17226/21900 <-- shared paper
--
https://doi.org/10.17226/25568 <-- shared paper
--
[disclaimer(s) – apart from a ‘stint’ covering a semester at MSU, I am not an education professional, with little knowledge of – say - K12. Further, I am not endorsing a specific approach, just sharing this paper and some of my personal thoughts from my professional experience(s).]
H/T @Letters To A Pre-Scientist
[If you’ll excuse my pretentious presumptuousness in adding my own rambling commentary on this commentary… when you eventually step into the STEM workforce, one of the best habits you can build is simple:
CONTINUE TO BE CURIOUS, have fun, keep exploring, be excited, keep asking questions, keep stretching yourself.
It sounds basic, but it’s one of the most reliable ways to grow in any science or technical career.
When I talk with folks I mentor in spatial data analysis—whether formally or just because we ended up working together—I try to emphasize that the real power of GIS today isn’t in being “the GIS person in a corner.” It’s in being part of a technical team solving a real use case, with your part of the puzzle being spatial data and spatial thinking. You don’t have to be (and can’t be) the subject matter expert on everything, but you do want to understand enough about the different pieces of a project to be genuinely helpful. Get curious about each use case, especially the technical aspects and the desired outcomes. Ask questions. Learn the context. Collaborate.
Let the domain experts teach you, and teach them what spatial thinking can add. That back and forth is where great work happens. Progress really shows up when your skills fit into a bigger technical picture—and when you’re willing to grow alongside the team rather than staying in a pigeonhole. Pigeonholes are for the birds, not for professionals starting out in STEM.
The analogy I often use: years ago, companies had typing pools—whole rooms of specialized typists banging out documents for everyone else. Today, we all type our own. In the same way, modern STEM work isn’t about a being a ‘GIS boffin in the back room.’ Spatial thinking is most powerful when it’s woven right into the technical conversations across the team.
So, as you enter the workforce, be open, keep learning, and bring your skills into the shared problem solving stream. You’ll grow faster, help your teammates more, and be part of genuinely exciting science AND SOLUTIONS; makes you such an asset too!]
“The traditional “pipeline” model of workforce development - whereby an individual follows a fairly linear, predictable, and structured path through K–12, undergraduate, and graduate education into career-length government or academic positions - no longer captures the reality of a modern STEM [education and then] career. Nor does it represent the broad range of interdisciplinary and innovative opportunities that STEM professions now offer across a wide range of industries, nonprofits, and other organizations. The pipeline model has also contributed to the historical exclusion of individuals from minoritized ethnic, racial, sexual and gender identity, disability, and service status...
It is time for us to dismantle the pipeline. Instead, let’s take inspiration from the natural world we study and envision a new model that captures the opportunity, variability, and responsiveness of a modern STEM career; that embraces the diversity and experiences of the people who engage in it; that recognizes the many on-ramps, pathways, and career pivots that real life induces; and that provides a framework in which there is a place in STEM for everyone. This is the braided river model…”
#STEM #career #pipeline #workforce #workforcedevelopment #K12 #education #careerpath #learning #continuedlearning #braidedriver #professionaldevelopment #science #sciencecareers #structuredpathline #alternatives #change #adaption #STEMWorkforce #FutureOfWork #CareerPathways #TalentPipeline #STEMEducation #EducationInnovation #SkillsDevelopment #LearningEcosystems #ExperientialLearning #ReimaginingWorkforce
@EOS @American Geophysical Union

Webinar - Ngā Ingoa o te Whenua - A Practical Guide To Sovereign AI And 3D Place-Name Mapping [New Zealand]

EarthStuff — Fri, 28 Aug 2026 05:49:06 GMT

https://events.teams.microsoft.com/event/f80ff1bc-2f6a-4221-946c-182cd3e86292@2134e961-7e38-4c34-a22b-10da5466b725 <-- shared webinar details

https://www.brookings.edu/articles/avoiding-the-next-digital-divide-defining-digital-sovereignty-for-tribal-nations-in-the-ai-age/ <-- shared technical article, ‘Avoiding The Next Digital Divide: Defining Digital Sovereignty For Tribal Nations In The AI Age’ [I read as a ‘Caucasian on the outside’ 🙂 ]

[happy to hang around for the time zones, and NOT just listening in for the accent nostalgia ~wink~]

H/T @Duane Wilkins | Toitū Te Whenua Land Information New Zealand

“Research reports and historical records contain thousands of references to pā, kāinga, marae, awa, maunga, ara and other places. These names connect whenua with people, journeys, events and whakapapa, but they can be hard to find across hundreds of pages.

In this practical online wānanga, you’ll learn how to use AI locally on your desktop computer to search large PDFs while keeping the working files on your computer. We will find possible place names and the kōrero around them, keep each result connected to its original source, then view the reviewed results on a map.

We will finish by creating a simple place-to-place journey in Google Earth 3D. No AI, data or GIS experience is needed. If you can open a PDF and use a web browser, you can follow the demonstration…

• Ngā puna raraunga | DATA SOURCES USED IN THE DEMONSTRATION

- Waitangi Tribunal research reports and inquiry documents

- The New Zealand Gazetteer of official and recorded place names

- New Zealand Gazette notices and published Treaty settlement place-name records.

• He mea nui mō tātou | WHY THIS MATTERS

- Māori data is a taonga. Place names and place-based kōrero need care, appropriate access and protection

- A local-first approach can support rangatiratanga and greater mana whakahaere by keeping approved files and draft results under your control

- Keeping the whakapapa of the data visible makes every result easier for whānau, hapū, iwi, researchers and mana whenua to review

- The purpose is collective benefit, helping whanau reconnect information with identity, place, te reo and future aspirations.

• Ko wai mā tēnei | WHO THIS IS FOR

- Iwi, hapū, marae and Māori land trusts working with whenua, history, records or taonga information.

- Kaitiaki, whānau researchers, historians, planners, archivists and people preparing material for hui

- Anyone curious about using local AI to explore place-based kōrero and create a map

- Beginners are welcome. No AI, data, mapping or GIS experience is needed…”

#GIS #spatial #mapping #onlinelearning #NewZealand #Māori #Maori #WaitangiTribunal #Gazetteer #sovereignAI #settlement #placename #historicalrecords #whakapapa #research #history #LLM #AI #machinelearning #opensource #opendata #tutu #KiwiInColorado

@LandInformationNewZealand @LINZ

Hydro-Climatic Extremes And Water Conflicts In The Kamala River Basin Of Nepal

EarthStuff — Thu, 27 Aug 2026 14:36:56 GMT

https://doi.org/10.1016/j.crm.2026.100871 <-- shared paper

https://jvs.org.np/news/%22kamala-river-basin-20-year-water-management-strategy <-- shared 2024 technical article on planning and policy (from JVS, a Nepalese non-profit driving water resilience)

[My sincere thoughts to those on those the Nepal/Tibet border so very effected by the recent GLOF-style flooding; the loss of your family and friends – and ‘things’ – must be so very hard!

May the missing individuals return safely. 🙏]

“What happens when communities face ‘too much water’ during the monsoon and ‘too little water’ during the dry season? [Their] research in Dudhauli and Siraha municipalities [Nepal] shows that floods and droughts are not merely environmental challenges; rather, they interact with existing inequalities and vulnerabilities, intensifying conflicts over water and land resources.

From upstream-downstream tensions following flood damage and changing water flows to competition over wells and handpumps during periods of scarcity, the findings show that hydro-climatic extremes often act as amplifiers of existing social, economic, and political vulnerabilities.

The study underscores the importance of moving beyond managing climatic hazards alone towards conflict-sensitive and equitable water governance that addresses structural inequalities, strengthens local adaptive capacities, and supports fair water allocation and conflict resolution…”

“This study investigates how hydro-climatic-extremes such as floods and droughts contribute to social conflicts in riverine communities located in the Kamala River Basin (KRB), Nepal. This research employs qualitative methods, including key-informant interviews and focus group discussions with farmers, local leaders, officials, and water-users in Dudhauli and Siraha municipalities supplemented by field-observation, document analysis and literature review, to explore the interplay between seasonal water fluctuations, socio-economic inequalities, and conflicts over water and land resources. The findings demonstrate that monsoon floods cause significant damage to irrigation infrastructure and alter water flows, resulting in conflicts between upstream and downstream households/users in Dudhauli. During the dry season, limited water availability forces multiple households to share wells, heightening tensions over water allocation and use. In Siraha, widespread flooding is followed by acute water scarcity, which exacerbates competition among neighbors for access to wells and handpumps. The research highlights that households with greater resources and social-influence are better positioned to manage water insecurity, reinforcing existing power imbalances and deepening water-related conflicts. Although local governance structures, local knowledge systems, and informal community mechanisms play a role in mediating conflicts, their effectiveness is often constrained by underlying structural vulnerabilities. The study concludes that hydro-climatic extremes act as amplifiers to environmental and socio-economic-political vulnerabilities, generating and reshaping household-level conflicts at communities. The findings highlight the urgent need for conflict-sensitive, equity-focused water governance that directly addresses structural inequalities and strengthens local adaptive capacities for flood management, water allocation, and conflict resolution amid escalating climatic uncertainty…”

#climatechange #flood #flooding #drought #monsoon #precipitation #rainfall #snowmelt #dryseason #socialconflict #KamalaRiver #basin #Dudhauli #Siraha #Nepal #hydroclimate #waterresources #risk #hazard #watersecurity #hydrosocial #exteremeweather #environment #inequality #vulnerable #socioeconomic #conflict #groundwater #water #hydrology #hydrography #hydroclimate #extremes #social #economic #political #watergovernance #watermanagement #localcommunities #conflictresolution

Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques

EarthStuff — Thu, 27 Aug 2026 14:33:53 GMT

https://doi.org/10.1007/s13157-026-02082-3 <-- shared paper

H/T @Renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia

“Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”

“The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”

#GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

Historic Snowfall Map Shows States Bracing For Significant Snow Amid El Niño [North America]

EarthStuff — Thu, 27 Aug 2026 14:27:01 GMT

https://www.mensjournal.com/news/historic-snowfall-map-shows-states-bracing-for-significant-snow-amid-el-nino <-- shared technical media article

https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/ensodisc.shtml <-- shared link to NOAA release ‘El Niño/Southern Oscillation (Enso) Diagnostic Discussion - issued By Climate Prediction Center/NCEP/NWS | 13 August 2026’

https://www.cnn.com/2026/08/20/weather/super-el-nino-us-winter-forecast-climate <-- shared media article

H/T @Mens Journal

“The National Oceanic and Atmospheric Association [NOAA] updated its prediction for the El Niño, which is strengthening and now has a greater than 90% chance of a very strong event during the Northern Hemisphere fall and winter 2026-27…

Additionally, the NOAA revealed that during the October-December 2026 season, there is now a 69% chance of a historic event that would exceed the strength of previous El Niño events dating back to 1950. Historical records from the NOAA only date back to 1950, but other reports suggest this could be one of the strongest El Niños in history.

This El Niño “is something that’s very unusual, if not a once in a lifetime type of (strength),” according to Nat Johnson, a meteorologist with the Geophysical Fluid Dynamics Laboratory at the National Oceanic and Atmospheric Administration.

El Niño is a natural climate cycle marked by warmer than average water temperatures along the equator in the Pacific Ocean. The warmer water triggers corresponding shifts in the atmosphere that have a domino-like influence on weather patterns around the globe – usually in ways that are largely predictable well in advance…”

#weather #climate #USA #forecast #fedscience #fedservice #NOAA #ElNiño #ElNino #snow #snowfall #climatecycle #water #hydrology #rainfall #precipitation #NorthAmerica #atmosphere #weatherpatterns #model #modeling #spatialanalysis #spatiotemporal #spatial #mapping #NorthernHemisphere #global

@NOAA | @NWS

A Geologic Map Funded Through The STATEMAP Component Of The National Cooperative Geologic Mapping Program Was Published In Direct Response To A Tribal Nation’s Science Needs.

EarthStuff — Thu, 27 Aug 2026 14:22:59 GMT

https://www.usgs.gov/programs/national-cooperative-geologic-mapping-program/news/utah-and-navajo-nation-geologic-mapping <-- shared USGS technical article/details

https://ngmdb.usgs.gov/Prodesc/proddesc_119584.htm | https://doi.org/10.34191/OFR-781DM <-- shared geologic map, ‘Interim geologic map of the Oljeto quadrangle, San Juan County, Utah’

H/T @USGS

“A first for STATEMAP. 🗺️

For the first time, a geologic map funded through the STATEMAP component of the National Cooperative Geologic Mapping Program was published in direct response to a Tribal Nation’s science needs.

The Utah Geological Survey, in collaboration with the Navajo Nation, recently published the geologic map of the Oljeto 7.5-minute quadrangle in southeastern Utah.

STATEMAP plays a critical role nationwide by matching federal funds with state geological surveys to produce high-priority geologic maps that address societal needs, from infrastructure planning and responsible land use to natural hazard mitigation and groundwater resource management.

Geologic maps provide a foundational framework for understanding Earth’s resources and processes. Detailed mapping gives resource managers and other stakeholders the scientific information they need to make informed decisions about the land and resources they manage.

For the Oljeto quadrangle, the mapping work supports Navajo Nation science needs by helping better understand the relationship between regional geology and groundwater resources.

This collaboration demonstrates the value of STATEMAP in supporting high-priority mapping needs and building partnerships between state geological surveys and Tribal Nations…”

“Funded through the STATEMAP component of the National Cooperative Geologic Mapping Program (NCGMP), this geologic mapping work supports Navajo Nation needs to better understand the relationship between regional geology and groundwater supply.

An outcome of the geologic partnership between the Utah Geological Survey and the Navajo Nation, the benchmark Oljeto 7.5’ quadrangle map is the first-ever publication funded under the STATEMAP component of the NCGMP in direct response to Tribal Nation science needs. This collaboration demonstrates a proven model for STATEMAP partners conducting geologic mapping work in areas of Tribal Nation interest…”

#mapping state #geology #geological #cooperation #STATEMAP #tribe #tribal #TribalNation #firstnation #triballands #NationalCooperativeGeologicMapping Program #USA #Utah #Oljeto #Utah #opendata #usecase #water #hydrology #waterresources #naturalresources #spatial #mapping #partnership #groundwater #regionalgeology

@Utah Geological Survey | @Navajo Nation | @USGS

Anthropogenic River Flows

EarthStuff — Tue, 25 Aug 2026 23:17:20 GMT

https://doi.org/10.1088/3033-4942/ae94a0 <-- shared technical perspective

H/T @Homero Paltán | Water, Energy, Land & Infrastructure Systemic Risks | Lecturer

“Are global river flows no longer natural? Can we really talk about natural rivers? [The authors] started asking ourselves these questions a few years ago over wonderful discussion sessions.

[They] argue that global river systems have entered a new phase, one of Anthropogenic River Flows, where flow regimes arise from the persistent interaction of:

• the physical alteration of river systems,

• the institutional and socio-technical organisation of water use and allocation

• broader global and systemic processes operating across scales.

In the Anthropocene, these domains do not operate independently because a change in one alters how the other two function. Global water risks and river flow properties then become an emergent property of these interactions.

As a result, [the authors] call for a rethinking of how we study, understand, and manage river flows to better reflect this new reality…”

“River flow regimes are increasingly shaped by human decisions operating through direct physical interventions and indirect climatic, economic, and institutional drivers. These influences challenge traditional hydrological baselines and complicate the observation, attribution, and management of river flows. We introduce the concept of Anthropogenic River Flows to define river flow regimes in which magnitude, seasonality, variability, and quality are no longer primarily determined by natural hydro-climatic processes, but instead arise from the persistent interaction of physical alteration of river systems, institutional and socio-technical organisation of water use and allocation, and broader climatic and socio-economic processes operating across scales. Drawing on research on hydrological transformation, resilience and non-stationarity, socio-hydrology, and water-energy-food-ecosystem interdependencies, we show how Anthropogenic River Flows have emerged through the progressive coupling of these domains. This emergence reflects a shift away from hydro-climatic control alone toward river flow regimes described by biophysical alteration, governance arrangements, and broader development pathways operating across scales. Building on these properties, we identify three priority directions for science: integrating multi-scale and cross-sectoral drivers of flow alteration; recognising rivers as socio-economic systems shaped by institutions and distributional dynamics; and supporting adaptive and robust decision-making frameworks that explicitly address uncertainty. Together, these directions position the Anthropogenic River Flows framework as a basis for aligning scientific analysis and river management practice in the Anthropocene…”

#water #hydrology #Anthropogenic #River #Flow #spatial #mapping #spatialanalysis #spatiotemporal #flowregimes #risk #waterrisk #global #climatechange #watersecurity #baseline #humanimpacts #magnitude, #seasonality #variability #waterquality #sociohydrology #hydroclimate #regulation #waterresources #engineering #governance #pumping #alteration

SOME SHARED SPATIAL/GIS ROLES & OPPORTUNITIES

EarthStuff — Mon, 24 Aug 2026 22:15:46 GMT

I am NOT associated with HR/recruiting in ANY way
Therefore, these are NOT endorsements, and there are no ‘referrals’ or the like for me
I am simply sharing SOME roles that I have seen – in the hope that they are of use to someone
As such, I am not (and indeed can not) in any way ‘vet’ these roles (i.e., you are advised to conduct your own due diligence due to hideous, potential risks like fraudulent postings, ‘ghost jobs’, résumé/ATS ‘improvement’ scammers, etc)
Further, roles listed are in no specific order (i.e., simply as I ‘encountered’ them during the week)
There is ZERO cost to access this list of spatial / GIS roles
I am not (really) ‘mining’ US Federal government roles - with the ‘hiring freeze’, uncertainty, etc
You can subscribe to (a) the (free) weekly LinkedIn newsletter www.linkedin.com/build-relation/newsletter-follow?entityUrn=7397678824928366594 or (b) also for free at earthstuff.substack.com - if so inclined

GENERAL SPATIAL ROLE RESOURCES/LINKS:

aka various and ongoing ‘external’ spatial roles & other career resources
ZERO affiliations

—

GIS Jobs Australia [and New Zealand]

H/T

https://gisjobs.com.au/ | https://www.linkedin.com/company/together-spatial/

—

GeoSearch

H/T

https://geosearch.com/

—

GIS Career Growth Guide And Weekly List Of Open Roles (global)

[incl. SubStack newsletter, subscriptable]

H/T

—

“Running List Of 300+ Companies Hiring For Geospatial & Climate-Tech Roles”

H/T

https://www.linkedin.com/pulse/running-list-200-companies-hiring-geospatial-roles-ali-ahmadalipour

—

MULTIPLE Roles Across The USA Via The Government Jobs Site

https://www.governmentjobs.com/jobs?keyword=GIS&location=

—

Open Jobs In Geospatial

[LinkedIn newsletter, subscriptable]

H/T @Women+ in Geospatial

https://www.linkedin.com/newsletters/open-jobs-in-geospatial-7290767664707215360/

—

My GIS Jobs

[“Discover the latest job openings in GIS. [They] feature hundreds of new GIS job openings every month. Visit [their] job search page to find GIS jobs.”]

H/T @My GIS Jobs

https://www.mygisjobs.com/

—

Wisconsin Geospatial Jobs [and some MN also]

H/T @WI State Cartographer’s Office

https://www.sco.wisc.edu/jobs/

—

LinkedIn Group - GIS Jobs

https://www.linkedin.com/groups/2864431/

—

Illinois GIS Association (ILGISA) - Job Board

https://ilgisa.mcjobboard.net/jobs

—

Inland Empire GIS User Group [CA]

https://www.iegis.org/jobs

—

GIS Career Hub [global]

https://giscareerhub.com/

INDIVIDUAL ROLES NOTED:

Emergency Management Specialist (Geospatial)

FEMA [D.C.]

https://www.usajobs.gov/job/880610800

Senior Geospatial Data Engineer

CACI International [CO]

https://www.linkedin.com/jobs/view/4399048304/

GIS Analyst

Asian Consulting Engineers [????]

https://www.linkedin.com/posts/hiring-gisanalyst-gisjobs-share-7494014367081046016-yNCq/

GIS Analyst

Manulife Investment Management Forest Management [New Zealand]

https://nz.seek.com/job/93884583?type=promoted&ref=search-standalone&origin=cardTitle#sol=04a8aab92f2ea9571d85009175541c9883c54b10

Farm & Forest Mapping Specialist [incl. spatial]

Prism Earth Limited

https://nz.seek.com/job/93747382?type=standard&ref=search-standalone&origin=cardTitle#sol=d4128e7228092706eedebf5501aaeedce510cbb0

GIS Graduate Engineer=

Omexom [New Zealand]

https://nz.seek.com/job/93940513?type=standard&ref=search-standalone&origin=cardTitle#sol=b33b8c0f07f9792b116f6a5402d7a25321425d04

Senior Geospatial Intelligence Analyst (Maritime)

New Zealand Defence Force | Te Ope Kātua o Aotearoa

https://nz.seek.com/job/93870485?type=standard&ref=search-standalone&origin=cardTitle#sol=d72a132abe391d442303a5c9d393731b7d2d4de9

Geospatial Services Lead [multiple (?)]

Potentia [New Zealand]

https://nz.seek.com/job/93453988?type=standard&ref=search-standalone&origin=cardTitle#sol=aa33c7c0d359a68290f645017aa08d88ef0a204b | https://nz.seek.com/job/93454187?type=standard&ref=search-standalone&origin=jobCard#sol=3892e61d87a393b2909aa516fa4f698b1276ccc0

Manager - Geospatial Intelligence

New Zealand Police

https://nz.seek.com/job/93888411?type=standard&ref=search-standalone&origin=cardTitle#sol=71bdb0d7cd44e735198bb05f5bb067677a528adc

Technical Lead - Geospatial

Absolute IT Limited [New Zealand]

https://nz.seek.com/job/93832355?type=standard&ref=search-standalone&origin=cardTitle#sol=71bfc298576c9246bf5c3e3ffd3d1e27fcd4b807

Mātanga Taiao [incl. spatial] [six-month fixed term]

Ngāti Pāoa Iwi Trust [New Zealand]

https://nz.seek.com/job/93764994?type=standard&ref=search-standalone&origin=cardTitle#sol=a37ed506bb67ee218e9cd44e9b4e333ba96ab015

Geospatial Application Development Manager

Center for Shared Solutions - Geospatial, Web, and Data Services Division, State of Michigan

https://www.governmentjobs.com/careers/michigan/jobs/5449239/information-technology-manager-14-geospatial-application-development-manager

Geospatial Analyst II

Texas A&M Forest Service

https://tamus.wd1.myworkdayjobs.com/en-US/TFS_External/job/College-Station-TX/Geospatial-Analyst-II_R-095884

Survey Technician 2(A)-(B)

Government of Nova Scotia [Canada]

https://www.linkedin.com/jobs/view/4455361071/

Entry-Level GIS Analyst

Langan [CA]

https://job-boards.greenhouse.io/langanengineeringandenvironmentalservicesllc/jobs/4374716009

GIS Analyst

Colorado State University [CO

https://csusystem.wd12.myworkdayjobs.com/en-US/fortcollins_careers/job/GIS-Analyst_R2026105077

Asset Technician - GIS CPRD Seasonal

City of Greely [CO]

https://elvp.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/2729

Senior GIS Analyst

Ashburton District Council [New Zealand]

https://www.linkedin.com/jobs/view/4454220509/

Postdoctoral - AI for Flash Drought Prediction

Department of Geography, UCLA [CA]

https://docs.google.com/forms/d/e/1FAIpQLSelzVl174a0owbCBlar_e8X6Od5u9TLrpW1PrSMqse9WCMlow/viewform

Geomatics Technician

Canadian Armed Forces | Forces armées canadiennes

https://www.linkedin.com/jobs/view/4450895913/

Geomatics Analyst

National Fuel [PA]

https://www.nationalfuel.com/careers/geomatics-analyst-2/

GIS Specialist

Poe & Associates [OK]

https://www.linkedin.com/posts/jeremy-planteen-gisp-a20b4293_okc-and-tulsa-are-gisers-were-currently-share-7495292735063724032-uD7Z/

Senior GIS Specialist

Beca [New Zealand]

https://www.linkedin.com/jobs/view/4453514362/

GIS Specialist

Milwaukee County [WI]

https://jobs.dayforcehcm.com/en-US/mkecounty/MKECOUNTYCAREERSITE/jobs/29219

GIS Specialist

OHM Advisor [OH/PA]

https://apply.workable.com/ohm-advisors/j/6B4F941EEF

GIS Intern, Spring 2027

Disneyland Resort [CA]

https://www.linkedin.com/jobs/view/4458184498/

Senior GIS Specialist

AECOM [South Africa]

https://www.linkedin.com/jobs/view/4455848402/

GIS Data Analyst

TotalEnergies [Suriname]

https://www.linkedin.com/jobs/view/4456743954/

Intern Bachelor’s I - GIS

City of Frisco [TX]

https://www.governmentjobs.com/careers/friscotexas/jobs/5451247/intern-bachelors-i-gis

GIS Specialist

Orchard LLC [remote (USA)]

https://www.linkedin.com/jobs/view/4451426187/

GIS Program Manager

The Polis Center [IN]

https://www.linkedin.com/jobs/view/4451692724/

GIS & Data Analytics Manager

Atlanta Beltline [GA]

https://www.linkedin.com/jobs/view/4450144923/

Geospatial Data Scientist

MITRE [VA]

https://www.linkedin.com/jobs/view/4391775280/

GIS Data Administrator

Fervo Energy [UT]

https://www.linkedin.com/jobs/view/4446252861/

Research Data Specialist III [incl. spatial] California Public Utilities Commission https://www.linkedin.com/jobs/view/4450421006/

RESEARCH DATA SUPERVISOR I [incl. spatial] California Department of Conservation https://www.linkedin.com/jobs/view/4453390200/

Senior Geospatial Data Engineer

Object Computing, Inc. [MO]

https://www.linkedin.com/jobs/view/4303240876/

Senior Geospatial Data Scientist

Lincoln Institute of Land Policy [D.C.]

https://www.linkedin.com/jobs/view/4454577023/

GIS Specialist

National Park Service (NPS) [CA]

https://www.usajobs.gov/job/878630800

GIS Specialist

OHM [OH/PA]

https://apply.workable.com/ohm-advisors/j/6B4F941EEF/

GIS Analyst [911-related]

Larimer Emergency Telephone Authority (LETA 911) [CO] https://www.leta911.org/careers | https://www.leta911.org/careers#docaccess-722cb01b89939a1e8eb48f9ce83e406a

GIS & Database Officer

Peatland Action, NatureScot [UK]

https://ejki.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/1164

GIS / Data Officer

Verst Carbon (?) [Kenya]

https://www.linkedin.com/posts/tom-kiptenai-70980966_gis-earthobservation-waltergenga-share-7495531300913627136-YJZJ | https://gokazini.com/jobs/gis-data-officer-verst-carbon [registration required] | https://www.myjobmag.co.ke/job/gis-data-officers-verst-carbon

Lecturer - GIS/RS

Jaramogi Oginga Odinga University of Science and Technology [Kenya] https://www.myjobmag.co.ke/job/lecturer-gis-rs-jaramogi-oginga-odinga-university-of-science-and-technology

Geologist (Map Editor)

USGS [CA / CO / VA/ negotiable] 🙃 🤓

https://www.usajobs.gov/job/880568400

[GIS Technical] Project Manager

Dewberry [VA]

https://careers-dewberry.icims.com/jobs/16132/project-manager/job

GIS Analyst III

Kaua’i County [HI]

https://kauai.wd1.myworkdayjobs.com/en-US/Kauai_External_Career_Site/job/Department-of-Finance-Real-Property-Assessments/Geographic-Information-Systems--GIS--Analyst-III_R-8119

GIS Analyst II

Kaua’i County [HI]

https://kauai.wd1.myworkdayjobs.com/en-US/Kauai_External_Career_Site/job/Department-of-Finance-Real-Property-Assessments/Geographic-Information-Systems--GIS--Analyst-II_R-8118

GIS Analyst I

Kaua’i County [HI]

https://kauai.wd1.myworkdayjobs.com/en-US/Kauai_External_Career_Site/job/Department-of-Finance-Real-Property-Assessments/Geographic-Information-Systems--GIS--Analyst-I_R-8117-1

Geospatial Data Scientist II

Lincoln Institute of Land Policy [D.C.]

https://www.linkedin.com/jobs/view/4454561128/

Senior Geospatial Data Scientist

Lincoln Institute of Land Policy [D.C.]

https://www.linkedin.com/jobs/view/4454577023/

GIS Systems Analyst

Halifax Regional Municipality [Canada]

https://www.linkedin.com/jobs/view/4452852236/

Higher Data Scientist [incl. spatial] [multiple] Data Science Services (DSS), Analysis Directorate, Natural England, UK Civil Service [UK]

https://www.civilservicejobs.service.gov.uk/csr/jobs.cgi?jcode=2009232

GIS Program Manager

The Polis Center [IN]

https://www.linkedin.com/jobs/view/4451692724/

Cartographer

CIA [D.C.]

https://www.usajobs.gov/job/756730800

Interdisciplinary (Geographer or Physical Scientist) [senior] USGS EROS [SD]

https://usgs.usajobs.gov/job/880228300

GIS Specialist

Johnstown [CO]

https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=041a8516-be7e-4672-aab7-91b78e278f9c&ccId=19000101_000003&jobId=576808&jwId=SYS:JW:001&lang=en_US

Geospatial Analyst

The Crown Estate [UK] [”Its good to be the king!”] https://www.linkedin.com/jobs/view/4455375059/

Senior Geospatial Analyst

Invenergy [IL]

https://www.linkedin.com/jobs/view/4456401355/

GIS Specialist [3 month project]

Inovar(?) [Saudi Arabia]

https://www.linkedin.com/posts/rami-nawasrah-76a18723_job-opportunity-gis-specialist-saudi-share-7496208593520840704-9shF/

President, Geospatial & Monitoring [C-Suite] [unknown] [USA] https://geosearch.com/jobview/president-geospatial-and-monitoring/96900ee5-28fa-4e8e-be2a-f909d938d374/

GIS Analyst

Dillon Consulting Limited [Canada]

https://www.linkedin.com/jobs/view/4440361030/

Technicien·ne géomatique

Canadian Armed Forces | Forces armées canadiennes https://www.linkedin.com/jobs/view/4109283688/

GIS Systems Analyst [fixed term]

Halifax Regional Municipality [Canada]

https://www.linkedin.com/jobs/view/4452852236/

Geomatics Technical Support Specialist

Brandt Group of Companies [Canada]

https://www.linkedin.com/jobs/view/4400326925/

GIS Specialist

Northern Territory Government [Australia] https://www.linkedin.com/jobs/view/4449808768/

Senior Spatial Systems Developer

Queensland Government [Australia]

https://www.linkedin.com/jobs/view/4453141662/

Senior GIS Analyst

Onterris [Australia]

https://www.linkedin.com/jobs/view/4439130083/

GIS Analyst

Gamuda Australia

https://www.linkedin.com/jobs/view/4454371039/

Spatial Data Officer

NSW Department of Climate Change, Energy, the Environment and Water [Australia] https://www.linkedin.com/jobs/view/4455533045/

Spatial Science Officer

Department of Transport and Main Roads [Australia] https://www.linkedin.com/jobs/view/4451366008/

GIS Lead and GIS Specialist

Unity Water [Australia]

https://www.linkedin.com/jobs/view/4456076381/ | https://www.linkedin.com/jobs/view/4456084410/

Spatial Data Editor

Department of Transport and Planning [Australia] https://www.linkedin.com/jobs/view/4451605591/

Remote Sensing Scientist

NSW Department of Climate Change, Energy, the Environment and Water [Australia] https://www.linkedin.com/jobs/view/4453008655/

Intelligence Specialist

RNZAF [New Zealand]

https://www.linkedin.com/jobs/view/4393526095/

Senior GIS Specialist

Beca [New Zealand]

https://www.linkedin.com/jobs/view/4453514362/

Senior GIS Engineer

Hays [New Zealand]

https://www.linkedin.com/jobs/view/4454378064/

Risk Modeller [incl. spatial]

GNS Science [New Zealand]

https://www.linkedin.com/jobs/view/4453091101/

Senior Transport Analyst/Modeler [fixed term] [incl. spatial] Greater Wellington [New Zealand] https://www.linkedin.com/jobs/view/4456112503/

Drone Applications & Technical Specialist Frontier Precision [TX] https://www.linkedin.com/jobs/view/4457350647/

Senior Geospatial Analyst

Invenergy [IL]

https://invenergyllc.wd1.myworkdayjobs.com/invenergyllc/job/Chicago-IL/Senior-Geospatial-Analyst_R11048

Advisor, Geomatics and Property Data

Alto [Canada]

https://carrieres-careers.altotrain.ca/job/Montreal-Advisor%2C-Geomatics-and-Property-Data-Qu%C3%A9b-H2Z-0C2/605446517/

NOAA Commissioned Officer Corps

NOAA [various]

https://www.omao.noaa.gov/noaa-corps/apply-now

GIS Analyst [carbon capture projects]

[unknown] [Australia]

https://lnkd.in/p/gWbPvwHc

Essential Earth Observation Variables For High-Level Multi-Scale Indicators And Policies

EarthStuff — Mon, 24 Aug 2026 21:48:48 GMT

https://doi.org/10.1016/j.envsci.2021.12.024 <-- shared paper

https://earthobservations.org/about-us/news/remembering-paolo-mazzetti-a-legacy-of-science-kindness-and-collaboration <-- shared memorial

H/T | Senior Researcher at the Institute of Technologies and Environmental Intelligence (ITIAm) of CNR

“HIGHLIGHTS:

• Defining Essential Variables (EVs) to describe the global socio-ecological system.

• Setting the objectives of a new Group on Earth Observation (GEO) community activity on EVs.

• Defining criteria for selecting EVs.

• Demonstrating a fully functional workflow on land degradation.

• Presenting a new vision for the mainstreaming of EVs in science-policy interfaces.

ABSTRACT: Several holistic approaches are based on the description of socio-ecological systems to address the sustainability challenge. Essential Variables (EVs) have the potential to support these approaches by describing the status of the Earth system through monitoring and modeling. The different classes of EVs can be organized along the environmental policy framework of Drivers, Pressures, States, Impacts and Responses. The EV concept represents an opportunity to strengthen monitoring systems by providing observations to seize the fundamental dimensions of the Earth system

The Group on Earth Observation (GEO) is a partnership of 113 nations and 134 participating organizations in 2021 that are dedicated to making Earth Observation (EO) data available globally to inform about the state of the environment and enable data-driven decision processes. GEO is building the Global Earth Observation System of Systems, a set of coordinated and independent EO, information and processing systems that interoperate to provide access to EO for users in the public and private sectors. The progresses made in the development of various classes of EVs are described with their main policy targets, Internet links and key references

The paper reviews the literature on EVs and describes the main contributions of the EU GEOEssential project to integrate EVs within the work plan of GEO in order to better address selected environmental policies and the SDGs. A new GEO-EVs community has been set to discuss about the current status of the EVs, exchange knowledge, experiences and assess the gaps to be solved in their communities of providers and users. A set of four traits characterizing an EV was put forward to describe the entire socio-ecological system of planet Earth: Essentiality, Evolvability, Unambiguity, and Feasibility. A workflow from the identification of EO data sources to the final visualization of SDG 15.3.1 indicators on land degradation is demonstrated, spanning through the use of different EVs, the definition of the knowledge base on this indicator, the implementation of the workflow in the VLab (a cloud-based processing infrastructure), the presentation of the outputs on a dedicated dashboard and the corresponding narrative through a story map.

The concept of EV started in the climate sphere and spread to other domains of the earth system but less so in socio-economic activities. More work is therefore needed to converge on a common definition and criteria in order to complete the implementation of EVs in all GEO focus areas. EVs should screen the entire Earth’s social-ecological system, providing a trusted and long-term foundation for interdisciplinary approaches such as ecological footprinting, planetary boundaries, disaster risk reduction, and nexus frameworks, as well as many other policy frameworks such as the SDGs..”

#Earthobservations #Essentialvariables #Indicators #Workflows #Sustainabledevelopmentgoals #Policy #earthobservation #essentialvariables #Indicators #Workflow #sustainabledevelopmentgoals #SDGs #policy #spatial #mapping #remotesensing #EVs #GroupOnEarthObservation #GEO #socioecological #sustainability #earthsystems #Drivers #Pressures #States #Impacts #Responses #sustainability #monitoring #observations #organisation #GlobalEarthObservationSystemofSystems #overview #review #literaturereview #environmental #Essentiality #Evolvability #Unambiguity #Feasibility #ecologicalfootprinting #viability

Modeling Climate Change Impacts On Blue And Green Water In The Ethiopian Upper Blue Nile Basin

EarthStuff — Mon, 24 Aug 2026 21:34:49 GMT

https://doi.org/10.1016/j.ejrh.2026.103871 <-- shared paper

H/T @Dessalegn worku Ayalew

“The present study assesses the impacts of climate change on blue and green water in the Kessie Watershed of the Ethiopian Upper Blue Nile Basin using the SWAT+ model.

[The authors] set up [a] SWAT+ model using quality-controlled and homogenized observational climate time series… and calibrated it using a multisite calibration approach. [They] selected CMIP6 climate models for future simulations and bias-correction methods through a comprehensive performance assessment... Building on these previous studies, the present research further evaluates the reliability of combining robust climate-model selection with optimal bias-correction methods to improve the reliability of hydrological simulations. [They] then used the best-performing climate models, bias-corrected using the optimal methods, to project future changes in blue and green water in the study area…

KEY FINDINGS:

• SWAT+ effectively represented hydrological processes across multiple gauging stations in the Ethiopian Upper Blue Nile Basin.

• Ensembles of CMIP6 climate models improved the reliability of hydrological simulations compared with individual climate models.

• Optimized climate-model selection reduced biases in hydrological simulations more than bias correction alone.

• Arbitrary selection of climate models can degrade hydrological simulations, even when their outputs are bias-corrected using robust methods.

• Both blue and green water are projected to increase under future climate change in the Ethiopian Upper Blue Nile Basin.

• Blue water exhibits greater seasonality and climate sensitivity than green water flow and green water storage.

The study also provides sustainable water management options for adapting to the impacts of climate change, with implications for water resource planning and management in the Upper Blue Nile Basin…”

#Bluewater #Greenwater #CMIP6 #GCMs #Modelensemble #SSPscenarios #SWAT #Ethopia #UpperNile #Nile #NileBasin #gaging #gauging #Africa #climatechange #impacts #water #hydrology #KessieWatershed #EthiopianUpperBlueNileBasin #model #modeling #spatialanalysis #spatiotemporal #CMIP6 #waterresources #watermanagement #ecosystem #habitat #environment

ESA - Mars Research Rocket [playmobil]

EarthStuff — Sat, 22 Aug 2026 06:37:54 GMT

https://www.playmobil.com/en-us/esa%3A-mars-research-rocket/72011.html <-- shared link to product

[this post should not be seen as an endorsement of a particular product]

Now I have to raid my nephews toy $$$$! 😉 😊

I am thinking you had a hand in this licensing @Mark Drinkwater – kudos!

“Developed in cooperation with the European Space Agency (ESA), PLAYMOBIL brings the excitement of space exploration straight into children’s rooms! Two astronauts have landed safely on the Red Planet with their research rocket – ready to collect soil samples and bring them back to Earth! The rocket features a modular design: it can be extended or shortened, depending on the mission, and docks onto a mobile landing platform that serves as a base station on Mars. Movable crane arms help collect the soil samples and securely store them inside the rocket – either in the front storage compartment or in the rocket-shaped nose cone, ready for launch. The rocket includes seats for both astronauts. Prepare for liftoff – the next PLAYMOBIL research mission is about to begin!..”

#ScienceIsFun #fridayfun #mars #exploration #space #solarsystem #planet #redplanet #ESA #research #sampling #soil #rocket #spacecraft #lander #planetarygeology #astrogeology #SpaceFriday #MarsMission #STEMToys #STEM #educational #K12#FutureExplorers #SpacePlaytime #FridayLearning #STEMFriday #EduPlay #LearnThroughPlay #FutureScientists

@playmobil | @European Space Agency ESA

Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost

EarthStuff — Fri, 21 Aug 2026 04:08:47 GMT

https://doi.org/10.5194/soil-12-113-2026 <-- shared paper

https://doi.org/10.1038/s41558-026-02603-2 <-- shared paper

https://www.theguardian.com/environment/2026/aug/20/tipping-points-heatwaves-wildfires-permafrost-climate-crisis <-- shared media article

https://www.cbc.ca/news/canada/north/permafrost-slumps-herschel-island-qikiqtaruk-yukon-9.7168780 <-- shared media article

[putting together two different ‘sorts’/focuses of research/reporting, but…]

H/T @Gustaf Hugelius | Professor at Stockholm University

• “Heatwaves and wildfires are not just scorching forests, they are adding to the tipping point risks in the world’s vast permafrost regions, which contain three times more carbon than all the living vegetation on Earth…

• Permafrost stores 1,500 gigatons of carbon, which is three times more than all the living vegetation on Earth, including every single tree in the Amazon. It’s a really huge amount so even small changes to this system can cause big changes in the atmosphere…

• Methane is about 30 times more potent as a greenhouse gas, though only in the short term because it breaks down more quickly over 10 to 15 years. That makes it a strong and immediate concern and for future generations. Carbon dioxide, by comparison, is less potent but it lingers much longer, which makes it a bigger threat on the timescale of centuries…”

“Permafrost soils are particularly vulnerable to climate change. To assess and improve estimations of carbon (C) and nitrogen (N) budgets it is necessary to accurately map soil carbon and nitrogen in the permafrost region. In particular, soil organic carbon (SOC) stocks have been predicted and mapped by many studies from local to pan-Arctic scales. Several studies have been carried out at the Canadian Beaufort Sea coast, though no regional maps of terrestrial carbon stocks based on spatial modelling has been conducted yet. This study combines available field data from the Canadian Yukon coastal plain and uses it to map regional SOC and N stocks using the machine learning algorithm random forest and environmental variables based on remote sensing data. [The authors] developed models using the data for the entire region and separate models for the coastal mainland area and Qikiqtaruk Herschel Island. Each model was used to map SOC and N stocks for its respective area. [They] assessed the performance of the different random forest models by using crossvalidation. [They] further assessed model results using the Area of Applicability (AOA) method and the quantile regression forest approach, comparing the results and discussing their implications within the context of both methods. [They] explore[d] local differences in soil properties and how soil data distribution across the region affects the accuracy of the predictions of SOC and N stocks. The estimated SOC stock for the upper metre is 48.7 ± 6.6 kg/m² and the N stock 3.03 ± 0.30 kg/m². The average SOC stocks vary significantly when creating separate models for subsets of the data. Qikiqtaruk Herschel Island is geologically different from the coastal mainland and has on average lower SOC stocks. Including Qikiqtaruk Herschel Island soil data to predict SOC stocks at the mainland has large impact on the results. Differences in N stocks were not as dependent on the location as SOC stocks and rather differences between individual studies occurred. The results of the separate models show 38.0 ± 5.6 kg C/m² and 2.87 ± 0.34 kg N/m² for Qikiqtaruk Herschel Island and 52.5 ± 6.3 kg C/m² and 3.15 ± 0.32 kg N/m² for the mainland. These estimates refer to the entire study area, without masking out regions outside the Area of Applicability (AOA). [Their] results indicate that the spatial perspective, whether regional or local (whole area vs. mainland and Qikiqtaruk Herschel Island separately), can affect the patterns and values represented in the resulting maps, highlighting the importance of scale when interpreting SOC and N stock distributions. Using a more densely sampled, region-specific dataset, [their] study captures finer regional-scale patterns than previous lower-resolution or pan-Arctic analyses…”

#permafrost #soils #geology #climatechange #temperature #thawing #melting #emissions #CO2 #methane #carbon #nitrogen #GIS #spatial #mapping #Qikiqtaruk #HerschelIsland #Yukon #Canada #soilorganiccarbon #SOC #arctic #cryosphere #BeaufortSea #coast #coastal #machinelearning #model #modeling #remotesensing #earthobservation #carbonstocks #island #mainland #spatialanalysis #scale

Comparing DESIS Hyperspectral and Landsat 10 Simulated Superspectral Data for Crop Type Classification in California’s Central Valley

EarthStuff — Fri, 21 Aug 2026 04:01:29 GMT

https://doi.org/10.3390/rs18142282 <-- shared paper

https://www.usgs.gov/publications/comparing-desis-hyperspectral-and-landsat-10-simulated-superspectral-data-crop-type <-- shared USGs publication page

H/T #USGS

“How can we get better at classifying crops from space? 🛰️🌽

Some types of satellite imagery are better at distinguishing crops than others. A USGS study compared two approaches and found one produced more accurate crop maps.

Here’s what the researchers found:

• Hyperspectral imagery achieved 86% accuracy, compared to 75% for simulated superspectral imagery.

• Using just 14 carefully selected hyperspectral bands produced nearly the same results as using all 60 DLR Earth Sensing Imaging Spectrometer (DESIS) bands, showing those wavelengths contain much of the information needed to distinguish crop types.

• Using superspectral imagery on the upcoming Landsat 10 mission will allow for routine tracking of crops and enhance finer crop mapping.

• The findings help scientists identify which wavelengths provide the most useful information for crop mapping and future remote sensing applications.

Better crop maps will help governments and scientists track global agriculture, monitor the current crop season, and study agricultural trends…”

“HIGHLIGHTS:

• What are the main findings?

- The 14 DESIS hyperspectral narrowbands (10 nm) aligned with the Landsat 10 (formerly Landsat Next) spectral dataset produced similar accuracy results to the full 60-band DESIS hyperspectral dataset for classifying crop types. These 14 DESIS narrowbands resulted in higher accuracy than the 14 simulated Landsat 10 superspectral broadbands.

- When using DESIS narrowbands, Support Vector Machine (SVM) resulted in higher accuracy than Random Forest (RF).

• What are the implications of the main findings?

- A carefully selected set of 14 DESIS hyperspectral narrowbands (10 nm) can achieve classification accuracy comparable to those obtained using all 60 DESIS narrowbands across the 400–1000 nm range. These 14 strategically positioned narrowbands classified crop types with higher classification accuracy than the corresponding 14 Landsat 10 superspectral broadbands within the same spectral range.

- This study underscores the importance of multi-temporal imagery across the full crop-growing season for achieving more detailed and accurate crop type classifications. Such temporal coverage is more feasible with the planned Landsat 10 routine acquisition of broadband imagery than with task-based hyperspectral collections…”

“ABSTRACT: To advance crop type mapping in support of global food and water security, this study compared three spectral configurations: (A) the full 60-band DLR Earth Sensing Imaging Spectrometer (DESIS) hyperspectral narrowband (HNB) dataset, (B) a 14-band subset of DESIS-derived HNBs aligned with the planned Landsat 10 (formerly Landsat Next) spectral configuration (400–1000 nm), and (C) DESIS-based simulations of Landsat 10 superspectral broadbands. The analysis was conducted in California’s Central Valley, hereafter referred to as “the Central Valley”, during the peak growing month of August. DESIS imagery from August 2021, 2022, and 2023 was used sequentially for model development, testing, and independent validation. Over these three years, DESIS provided extensive hyperspectral coverage of much of the 4 million hectares in the Central Valley’s. Analyses were performed on Google Earth Engine using two pixel-based supervised classifiers, Random Forest (RF) and Support Vector Machine (SVM), to differentiate three major crop classes: row crops, grapes and tree crops, and winter wheat/fallow/other. The highest overall accuracy (86%) was achieved using SVM in combination with either the full DESIS hyperspectral dataset or the 14 DESIS narrowbands corresponding to Landsat 10. This finding aligns with earlier studies showing a small number of strategically positioned narrowbands can be optimal for crop type classification. Use of the narrowband datasets resulted in substantially higher accuracy (overall accuracy of 86%) compared to the simulated Landsat 10 broadbands (overall accuracy of 75%), supporting previous studies highlighting the utility of narrowbands. Despite the high accuracy using August imagery, the study indicates more granular crop type classification will require multi-temporal observations spanning the full phenological cycle (June–October), especially for a large number of crop classes. Acquiring task-based hyperspectral imagery over such large areas throughout the growing season remains operationally challenging. In contrast, Landsat 10 superspectral imagery could provide routine coverage across seasons and years that is practical and scalable for future large area crop type mapping and agricultural monitoring…”

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