#spatial — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #spatial, aggregated by home.social.
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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
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https://doi.org/10.5194/soil-12-113-2026 <-- shared paper
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https://doi.org/10.1038/s41558-026-02603-2 <-- shared paper
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https://www.theguardian.com/environment/2026/aug/20/tipping-points-heatwaves-wildfires-permafrost-climate-crisis <-- shared media article
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https://www.cbc.ca/news/canada/north/permafrost-slumps-herschel-island-qikiqtaruk-yukon-9.7168780 <-- shared media article
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[putting together two different ‘sorts’/focuses of research/reporting, but…]
H/T @gustaf Hugelius | Professor at Stockholm University
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“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..."
#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
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https://doi.org/10.3390/rs18142282 <-- shared paper
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https://www.usgs.gov/publications/comparing-desis-hyperspectral-and-landsat-10-simulated-superspectral-data-crop-type <-- shared USGs publication page
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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…”
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“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…”
#hyperspectral #superspectral #optimalbands #randomforest #supportvectormachine #agriculture #crops #croptype #classifaction #croplands #California #CentralValley #GIS #spatial #mapping #remotesensing #earthobservation #imagery #DESIS #Landsat #Landsat10 #satellite #spatialanalysis #spatiotemporal #global #AI #machinelearning #model #modeling #SupportVectorMachine #SVM #RandomForest #RF #GoogleEarthEngine
@USGS -
New post: A Wall Built Out of Sound
https://lanie.work/gaming/a-wall-built-out-of-sound/
#Accessibility #Audiogames #Spatial-Audio #Topographical-Agnosia #Autism #Mud #Screen-Reader #Gaming
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Introducing #ArcGIS Linear Referencing https://tinyurl.com/2jcczd5x
#location #spatial #intelligence #GIS #esri #mapping #GISchat #geospatial @esri @esrifederalgovt @esrislgov @esriblog @esriaec @esritraining @arcgispro @urisa
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GeoWomen Virtual Roundtable - You Do Not Have to Carry the Map Alone [free webinar, NSGIC]
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https://nsgic.memberclicks.net/geowomen-roundtable-20260901#/ <-- link to (free) webinar registration [simple signup]
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“Most GIS professionals have been promoted for their technical excellence and then quietly left to figure out leadership on their own. No path. No mentor. No curriculum. Just the assumption that if you were good at the work, you would eventually become good at leading the work.
That assumption has produced a generation of GIS leaders who are brilliant, exhausted, and quietly wondering if they are the only one carrying this much alone.
They are not. You are not.
This 30-minute talk names three patterns that show up in every GIS leader's career — patterns nobody warned us about because the field has never formally trained its leaders. Each pattern is paired with a specific principle attendees can begin practicing the following Monday. Built from more than sixty interviews with GIS leaders across government, private sector, and consulting, this talk gives language to what many women in GIS have been carrying without a name for it — and offers a path forward that does not require waiting for a bigger title or someone else's permission.
Attendees will leave with:
• The three patterns that keep GIS professionals invisible in the rooms where their programs get decided.
• The three principles that answer them — practical, specific, usable the following Monday.
• Permission to stop carrying the map alone.
This talk is for mid-career GIS professionals, managers, directors, and coordinators who have been promoted for their technical excellence and now find themselves navigating leadership challenges nobody prepared them for. Especially resonant for women in the field who have been quietly asking “who am I to lead?” while already leading.
Presenter: @Izabela Miller..”
#GIS #spatial #mapping #webinar #GeoWomen #virtualroundtable #planning #leadership #team #projects #managers #directors #coordinators #challenges #managing
@NSGIC | @Izabela Miller -
Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
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https://doi.org/10.1029/2026EA005227 <-- shared paper
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H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
“[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
[They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
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"PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
#massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
#USGS | #USGSLandslideHazardsProgram -
SOME SHARED SPATIAL/GIS ROLES & OPPORTUNITIES
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w/e August 14th, 2026 | GLOBAL but North America focused (as currently based there)
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https://earthstuff.substack.com/p/some-shared-spatialgis-roles-and-52e
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• 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 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 the (free) weekly LinkedIn newsletter www.linkedin.com/build-relation/newsletter-follow?entityUrn=7397678824928366594 or 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
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Impact Of Urbanization Driven Land Use And Land Cover Change On Ecological Environmental Quality In Rupandehi Nepal Assessed Using The Remote Sensing Ecological Index
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https://doi.org/10.1007/s44288-026-00650-y <-- shared paper
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https://kathmandupost.com/money/2026/02/18/rupandehi-s-continued-urban-sprawl-comes-at-a-cost-for-agriculture-in-the-periphery <-- shared media article
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H/T@ Gaurav Parajulim
“[The authors] studied how the ecological quality of Nepal's Rupandehi District has changed over three decades (1993–2023), using satellite imagery and the Remote Sensing Ecological Index (RSEI) to track the health of the landscape year by year and to understand how urbanization-driven land use change has reshaped it.
What [they] found tells a nuanced story: as Butwal and Bhairahawa grew and built-up land expanded, ecological quality shifted in ways that a single number can't capture, some areas recovered, others declined, and the patterns rarely moved in a straight line…”
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“Rapid urbanization and population growth are major drivers of land use and land cover (LULC) change and can substantially alter ecological environmental quality (EEQ). This study assessed the spatiotemporal dynamics of LULC and their effect on EEQ in Rupandehi District, Nepal, over a 30-year period (1993–2023). Four ecological indicators representing greenness, wetness, dryness, and heat were derived from Landsat imagery in Google Earth Engine (GEE), and LULC was classified using a Support Vector Machine (SVM). The Remote Sensing Ecological Index (RSEI) was then constructed from these indicators using Principal Component Analysis (PCA) in ArcGIS Pro, and its spatial structure was examined using global and local spatial autocorrelation. The mean RSEI followed a non-linear trajectory, rising from 0.59 in 1993 to 0.635 in 2004, declining to 0.55 in 2013, and recovering to 0.67 in 2023, indicating an overall improvement in EEQ with a temporary mid-period decline. Over the same period, built-up areas expanded substantially and agricultural land declined, whereas forest cover fluctuated but showed a slight net increase by 2023, and barren land decreased markedly. Higher EEQ was concentrated in the forested northern hills, while lower values occurred in the urban centers of Butwal and Bhairahawa, closely matching the spatial pattern of LULC change. The results indicate that ecological quality reflects the combined influence of all land cover classes rather than any single class. This study provides a transferable and reproducible workflow for long-term ecological assessment based on openly available Landsat data, with the analysis code shared in a public repository, offering practical guidance for sustainable land management and environmentally responsible urban development...”
#GIS #spatial #mapping #RemoteSensing #GIS #RSEI #EnvironmentalMonitoring #Nepal #Research #GoogleEarthEngine #ArcGIS #EcologicalQuality #spatialautocorrelation #ecology #environment #earthobservation #RemoteSensingEcologicalIndex #landscape #urbanisation #urban #development #landuse #change #spatialanalysis #spatiotemporal -
Geospatial Analysis of Carbon Offset Projects - A Broader Scientific Outlook
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https://www.eldhollow.com/blogs/geospatial-analysis-of-carbon-offset-projects <-- shared technical blog
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[this post should not be considered an endorsement of a particular organisation, rather scrutinising the spatial use case & technical approach]
H/T @kyle Arvisais | Forest Carbon Scientist
“Geospatial analysis is at the core of [the H/T’s company’s] project quality assessments, and [the author is] constantly finding ways to make the pipeline better and ways to use it. [They are] obviously not the only one who uses these types of tools, but to be perfectly honest, the quality of models [they have] seen over the years has been all over the place.
This blog makes a casual introduction to [their] pipeline while talking about the field at large…”
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“The world has committed to protecting and restoring nature at an unprecedented scale. Whether that commitment delivers what it promises comes down project execution on the ground. Local socioeconomics and forest ecology intertwine to create complex challenges for projects to overcome during implementation, and at the end of the day, projects boil all of these complexities down to one single unit: the carbon credit. So the question becomes: can we actually measure what is happening to a forest, accurately and honestly, and everywhere at once?
For a long time, the honest answer has been no. Historically, many forest carbon projects overstated their impact. Usually it was because the baseline was too generous, or because the measurements underneath were flawed. For anyone with a stake in nature markets, that uncertainty is one of the core risks.
Robust geospatial analysis can help mitigate that risk. If you treat a carbon credit as what it really is, a scientific claim, then we can hold it to that standard and assess it objectively. [Their] geospatial pipeline turns satellite data and ground truth data into models about how much forest is standing, how it is changing, and what might put it at risk in the future. The pipeline does this anywhere on Earth…”
#GIS #spatial #mapping #usecase #carbonoffset #spatialanalysis #spatiotemporal #qualityassessment #objectivity #projectpipeline #model #modeling #application #nature #environment #ecosystems #ecology #local #regional #factors #socioeconomics #forestecology #vegetation #forest #tree #carboncredit #climatechange #climatecrisis #forestcarbonprojects #global -
WHEN YOU ‘JUST’ WANT TO COLLECT SOME SPATIAL DATA! 😊
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Australian Researchers Fitted Five Magpies With GPS Trackers To Map Their Movements, But The Birds Began Removing One Another’s Harnesses Within Minutes, Turning A Failed Trial Into An Unexpected Observation Of Cooperation
(When researchers tried to track Australian magpies, the birds turned the tables—systematically removing each other's harnesses and revealing something far more interesting than GPS coordinates.)
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https://youtu.be/mM0j_GybEKw?si=GE3sFw00iXSDMlI0 <-- shared video
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https://spacedaily.com/t-australian-researchers-fitted-five-magpies-with-gps-trackers-to-map-their-movements-but-the-birds-began-removing-one-anothers-harnesses-within-minutes-turning-a-failed-trial-into-an-unexpected-obser/ <-- shared technical article
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http://dx.doi.org/10.20938/afo39007011 <-- shared paper
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https://www.abc.net.au/news/2022-02-22/magpies-show-cooperative-behaviour-by-removing-tracking-device/100851458 <-- shared media article
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[the Aussie magpies need SWAG on their GPS harness!]
“Researchers in Queensland fitted five Australian magpies with tiny GPS trackers, hoping to map their movements and social relationships. The [mischief] had other plans.
Within about ten minutes, an untagged adult female was using her bill to work at the harness on a juvenile. The tracker came off. Nearby, another magpie was helping a second tagged bird on a powerline. Devices that had been designed to stay attached for weeks disappeared within minutes to days.
[The author] like[s] this story partly because it resists the tidy distinction between a successful experiment and a failed one. The researchers lost the movement data they went looking for, but the birds produced an observation nobody had planned…”
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“Recent advances in tracking technology have enabled devices such as Global Positioning Systems (GPS) loggers to be used on a wide variety of birds. Although there are established ethical considerations to these processes, different species may react differently to particular devices and attachments. Thus, pilot studies are still of utmost importance in this field. Here, [the authors] describe one such study trialling a novel harness design for GPS tracking devices on Australian Magpies Gymnorhina tibicen. Despite previous testing demonstrating the strength and durability of the harness, devices were removed within minutes to hours of initial fitting. Notably, removal was observed to involve one bird snapping another bird’s harness at the only weak point, such that the tracker was released. This behaviour demonstrates both cooperation and a moderate level of problem solving, providing potential further evidence of the cognitive abilities of this species. To our knowledge, this is the first study to report the conspecific removal of GPS trackers, and should be considered when planning future tracking studies especially on highly social species…”
#rescuebehaviour #altruism #WhereTheAnimalsAre #wildlife #tracking #spatialanalysis #bird #magpie #Australia #Queensland #research #GPS #tracker #harness #removal #ecosystems #GIS #logging #monitoring #spatial #mapping #social #species #behaviour #cooperation #problemsolving #cognitiveabilities #conspecific #biology -
#ArcGIS: Enterprise-Grade #GIS Built to Scale https://tinyurl.com/b2ve7xyc
#location #business #spatial #intelligence #enterpriseGIS #esri #mapping #GISchat #geospatial @esri @esrifederalgovt @esrislgov @esriblog @esritraining @urisa
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Taxi drivers rarely die of Alzheimer’s – how complex mental maps and spatial reasoning protect your brain - The Conversation
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Eight British And Irish Accent Maps | Map Of British English Dialects
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https://starkeycomics.com/2024/05/10/eight-british-and-irish-accent-maps/ <-- shared technical article
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https://starkeycomics.com/2023/11/07/map-of-british-english-dialects/ <-- shared technical article
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https://www.bbc.com/news/magazine-11642588 <-- shared media article
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H/T @Milan Janosov
[as a kiwi, and after seeing the ‘scone’ pronunciation in particular, I do wonder how this might translate down to the antipodes; as a barman working in London in my (much) younger days – because we all do! 😉 – hearing the huge variety of accents from a relatively small country – but with a rich history of course – was glorious, still is to me! I am also curious how people trying to ‘not to be common’ & hence trying pretentiously to emulate the Received Pronunciation (RP) / BBC English – and failing - plays into this… Now say the letter “H” out loud, if you said “aitch" then that is you 😉 :* 😊 )
“Eight maps to show how the differences in how vowels are pronounced in Britain and Ireland… These are just some of the many, many regional differences in the complex and varied accents and dialects of these [British Isles]…”
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“… The diversity of English dialects in the United Kingdom is enormous.
It’s common for people from either side of a river, mountain, or even town to speak noticeably different ways, with particular features that immediately mark someone out as being from a specific area, to those who have an ear for it.
This is pretty normal in any large region that has been speaking a language continually for 1600 years. You will find the same thing in Germany, Norway, France, and countless other countries. Languages evolve over time, and physical distance between regions means that new features often spread slowly, leading to dialectal differences. Sometimes these differences are small, and only easily recognised by people from the relevant region. Other times there are very clear distinctions, with neighbouring dialects sounding almost like different languages to those unaccustomed to them...”
#map #mapping #spatial #Rhoticity #poorpour #horsehoarse #bathtrap #footstrut #goosefoot #fullfool #greatscone #UK #Britain #Ireland #pronunciation #linguistics #regional #variations #differences #vowels #language #English #England #accents #Northern #dialects
@ryan Starkey -
SOME SHARED SPATIAL/GIS ROLES & OPPORTUNITIES
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w/e August 7th, 2026 | GLOBAL but North America focused (as currently based there)
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https://earthstuff.substack.com/p/some-shared-spatialgis-roles-and-854
--
• 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 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 the (free) weekly LinkedIn newsletter www.linkedin.com/build-relation/newsletter-follow?entityUrn=7397678824928366594 or 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
