#earthobservation — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #earthobservation, aggregated by home.social.
-
Who will be at #InterGeo next week? I'll be there representing a Hereon spin-off that I now work for.
If you're involved in labelling #EarthObservation data, you might be interested.
Drop me a line if you like to meet or speak to me at the conference when you see mee. -
Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
(OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
--
https://www.theguardian.com/environment/2026/sep/08/cities-great-britain-most-vulnerable-extreme-heat-revealed <-- shared media article
--
https://www.ordnancesurvey.co.uk/news/new-urban-heat-islands-analysis <-- shared technical article, OS Heat Vulnerability Index
--
H/T @joe Clarkson | Campaign Manager - Diffusion PR
“[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
#ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
@Ordnance Survey -
Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
(OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
--
https://www.theguardian.com/environment/2026/sep/08/cities-great-britain-most-vulnerable-extreme-heat-revealed <-- shared media article
--
https://www.ordnancesurvey.co.uk/news/new-urban-heat-islands-analysis <-- shared technical article, OS Heat Vulnerability Index
--
H/T @joe Clarkson | Campaign Manager - Diffusion PR
“[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
#ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
@Ordnance Survey -
Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
(OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
--
https://www.theguardian.com/environment/2026/sep/08/cities-great-britain-most-vulnerable-extreme-heat-revealed <-- shared media article
--
https://www.ordnancesurvey.co.uk/news/new-urban-heat-islands-analysis <-- shared technical article, OS Heat Vulnerability Index
--
H/T @joe Clarkson | Campaign Manager - Diffusion PR
“[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
#ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
@Ordnance Survey -
Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
(OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
--
https://www.theguardian.com/environment/2026/sep/08/cities-great-britain-most-vulnerable-extreme-heat-revealed <-- shared media article
--
https://www.ordnancesurvey.co.uk/news/new-urban-heat-islands-analysis <-- shared technical article, OS Heat Vulnerability Index
--
H/T @joe Clarkson | Campaign Manager - Diffusion PR
“[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
#ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
@Ordnance Survey -
Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
(OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
--
https://www.theguardian.com/environment/2026/sep/08/cities-great-britain-most-vulnerable-extreme-heat-revealed <-- shared media article
--
https://www.ordnancesurvey.co.uk/news/new-urban-heat-islands-analysis <-- shared technical article, OS Heat Vulnerability Index
--
H/T @joe Clarkson | Campaign Manager - Diffusion PR
“[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
#ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
@Ordnance Survey -
Satellite view of Ohio — 2026-09-07
Imagery: MODIS_Terra_CorrectedReflectance_TrueColor
https://worldview.earthdata.nasa.gov/?v=-84.82,38.4,-80.52,42.32&l=MODIS_Terra_CorrectedReflectance_TrueColor&t=2026-09-07Imagery: NASA GIBS #satellite #NASA #EarthObservation
-
Satellite view of Ohio — 2026-09-07
Imagery: MODIS_Terra_CorrectedReflectance_TrueColor
https://worldview.earthdata.nasa.gov/?v=-84.82,38.4,-80.52,42.32&l=MODIS_Terra_CorrectedReflectance_TrueColor&t=2026-09-07Imagery: NASA GIBS #satellite #NASA #EarthObservation
-
Python is use useful for reducing manual work in geospatial analysis. Get info from:
QGIS & Claude Code (MCP) Integration:
https://rsandgis.me/articles/qgis-claude-code-mcp-integration.htmlhttps://Cloud-Optimized GeoTIFF Python Tutorial
https://rsandgis.me/articles/cloud-optimized-geotiff-python-tutorial.htmlPoint Cloud Classification via PDAL & Python
https://rsandgis.me/articles/deep-learning-point-cloud-pdal.html#Python #Geospatial #DataScience #QGIS #GIS #SpatialAnalysis #PyQGIS #EarthObservation #OpenSource
-
Isnt it harder to find in-depth, information on geospatial tech, which is why I want to share a fantastic independent resource:
Run by a geospatial expert, its an blog currently focused heavily on RS and GIS, machine learning and modern spatial data workflows. It completely bridges the gap between Earth sciences and modern programming.
#GIS #RemoteSensing #GeoAI #EarthObservation #Python #QGIS #SpatialAnalysis #DataScience #LiDAR #OpenScience
-
Isnt it harder to find in-depth, information on geospatial tech, which is why I want to share a fantastic independent resource:
Run by a geospatial expert, its an blog currently focused heavily on RS and GIS, machine learning and modern spatial data workflows. It completely bridges the gap between Earth sciences and modern programming.
#GIS #RemoteSensing #GeoAI #EarthObservation #Python #QGIS #SpatialAnalysis #DataScience #LiDAR #OpenScience
-
Isnt it harder to find in-depth, information on geospatial tech, which is why I want to share a fantastic independent resource:
Run by a geospatial expert, its an blog currently focused heavily on RS and GIS, machine learning and modern spatial data workflows. It completely bridges the gap between Earth sciences and modern programming.
#GIS #RemoteSensing #GeoAI #EarthObservation #Python #QGIS #SpatialAnalysis #DataScience #LiDAR #OpenScience
-
Isnt it harder to find in-depth, information on geospatial tech, which is why I want to share a fantastic independent resource:
Run by a geospatial expert, its an blog currently focused heavily on RS and GIS, machine learning and modern spatial data workflows. It completely bridges the gap between Earth sciences and modern programming.
#GIS #RemoteSensing #GeoAI #EarthObservation #Python #QGIS #SpatialAnalysis #DataScience #LiDAR #OpenScience
-
Isnt it harder to find in-depth, information on geospatial tech, which is why I want to share a fantastic independent resource:
Run by a geospatial expert, its an blog currently focused heavily on RS and GIS, machine learning and modern spatial data workflows. It completely bridges the gap between Earth sciences and modern programming.
#GIS #RemoteSensing #GeoAI #EarthObservation #Python #QGIS #SpatialAnalysis #DataScience #LiDAR #OpenScience
-
India (ISRO) has successfully launched its first geostationary Earth observation imager.
Operating from a geostationary orbit 36,000 kms above the equator, the new Earth observation satellite delivers continuous, real-time multispectral imaging of the Indian subcontinent and Indian Ocean region:
This satellite is capable of capturing high-resolution optical, near-infrared, and thermal infrared channels to monitor storm formation, sea surface temperatures, and land vegetation indices. https://satnews.com/2026/08/31/isro-deploys-first-geostationary-earth-imager-as-navic-constellation-operates-below-baseline-threshold/ #Space #India #Satellite #EarthObservation #Imaging #SatelliteImaging #OpticalImaging #Infrared #ThermalImaging #GeostationaryOrbit #GSO #IndianSpaceResearchOrganisation #ISRO
-
India (ISRO) has successfully launched its first geostationary Earth observation imager.
Operating from a geostationary orbit 36,000 kms above the equator, the new Earth observation satellite delivers continuous, real-time multispectral imaging of the Indian subcontinent and Indian Ocean region:
This satellite is capable of capturing high-resolution optical, near-infrared, and thermal infrared channels to monitor storm formation, sea surface temperatures, and land vegetation indices. https://satnews.com/2026/08/31/isro-deploys-first-geostationary-earth-imager-as-navic-constellation-operates-below-baseline-threshold/ #Space #India #Satellite #EarthObservation #Imaging #SatelliteImaging #OpticalImaging #Infrared #ThermalImaging #GeostationaryOrbit #GSO #IndianSpaceResearchOrganisation #ISRO
-
Great opportunity for #arctic researchers interested in #earthobservation
https://events.coastal.hub.copernicus.eu/e/the-copernicus-arctic-hub -
At night, the Earth tells a different story. 🌃 From orbit, city lights trace where we live and build, a glowing map of human civilization and energy. Remote sensing turns those lights into data on population and growth. 🛰️
#RemoteSensing #NightLights #Geography #Satellites #EarthObservation #Cities
-
To Predict Tree Death, Scientists Tapped Gamma Rays To Peer Underground
(Airborne radiation sensors could help forecast and prevent drought-driven tree mortality_
--
https://www.science.org/content/article/predict-tree-death-scientists-tapped-gamma-rays-peer-underground <-- shared technical article
--
https://doi.org/10.1029/2026GL122182 <-- shared paper
--
H/T @hannah Richter
“Over an 18-month period starting in 2023, the dense forests of Western Australia [WA] experienced a record-setting drought. Jarrah trees towering 35 metres high died off in patchy brown splotches, turning 400 square kilometres - 3% of the forest - into brittle, fire-prone stands. The event led researchers to wonder whether there was a better way to predict where such die-offs might occur both there and in other forests, a problem that has long been tricky to solve because important factors such as soil depth are hidden underground…
Now, those same researchers have unveiled a surprising new tool for predicting tree mortality: gamma rays [link above.] Resulting from the natural decay of the potassium-40 isotope from granite-rich bedrock, the radiation acts as a proxy for soil depth, which in turn signals how much water a tree can access during drought. The new method could be applied to other highly weathered soils, which cover one-third of Earth’s ice-free land...”
--
"... PLAIN LANGUAGE SUMMARY: During a record-breaking drought and heat event in 2023–2024, forests in southwestern Australia experienced widespread, patchy die-off. While we know that extreme weather triggers these events, it is often a hidden factor, the thickness of soil and the depth to underlying bedrock, that determines which trees live or die. Trees growing in shallow soil over solid rock are highly vulnerable due to limited water storage. Here, [they] show how to map these hidden zones from the air using gamma rays that are naturally emitted by potassium in the ground. Like southwestern Australia, many parts of the world have highly weathered soils where potassium has been washed out of the upper layers of soil. However, [they] showed that higher potassium areas signal that potassium-rich bedrock is closer to the surface and this is sensitive for tens of meters. By comparing gamma ray maps with ground-based geophysical surveys and satellite data, [they] showed that these potassium hotspots accurately predict where forests are most likely to experience die-off during a drought. These types of soils cover about one-third of the Earth's land, so the method provides a powerful new tool for managers to identify and protect vulnerable forests from future, hotter droughts…”
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #Australia #WesternAustralia #WA #forests #vegetation #bush #jarrah #karri #drought #heat #extremedrought #extremeweather #climatechange #water #waterresources #dieoff #soil #weathering #erosion #moisture #nutrients #airborne #gammarays #GRS #granite #gneiss #bedrock #geology #potassium40 #potassium #K #remotesensing #earthobservation #groundwater #interstitial #subsurface #waterstorage #electricalresistivitytomography -
On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
--
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..."
#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 -
An MTG-I2 satellite launches on Ariane 6, completing Europe’s new weather satellite constellation.
The launch of MTG-I2 from French Guiana completes the first trio of Meteosat Third Generation satellites, delivering high-resolution data and images every 2.5 minutes to transform weather forecasting and early warnings of extreme events.
#Satellite #Weather #ESA #Space #Science #Tech #Aerospace #Ariane6 #EarthObservation
-
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
--
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
--
“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 -
Mapping Snow On Northern Winter Roads - A Dual-Frequency Polarimetric Radar Approach For Snow Characterization Over Land, Lake And Sea Ice
--
https://doi.org/10.5194/tc-20-4367-2026 <-- shared paper
--
H/T @Monojit Saha | Geospatial Analysis | Remote Sensing | Satellite Altimetry | Cryosphere
“Winter roads are essential transportation links for many remote northern communities, but their safety and reliability depend strongly on snow conditions and ice growth. In this study [link above], [the authors] evaluated a fully polarimetric, dual-frequency Ku- and Ka-band radar approach for retrieving snow depth across landfast sea ice, lake ice, and tundra.
Using field measurements near Churchill, Manitoba, and Resolute Bay, Nunavut [Canada], [they] found that the approach produced snow-depth retrieval bias and error within 3 cm over landfast ice, with encouraging Ku-band performance over frozen ground as well. [They] also developed an interface-detection approach for lake ice that can retrieve both snow depth and ice thickness - a promising direction for characterizing conditions relevant to winter-road planning and safety…”
--
“Winter roads are lifelines for remote northern communities. Built over land, lakes, rivers, and sea ice, these travel routes are increasingly vulnerable to warming temperatures and variable precipitation. To ensure safety and adapt to these changes, operators require high-resolution monitoring of snow depth across these diverse surfaces, as natural snow accumulation dictates ice growth rates, route viability and road stability. This study extends our polarimetric radar method, previously demonstrated on pack ice, to landfast sea ice, tundra, and frozen lakes and assesses how well we can retrieve snow depth over these surfaces. Results indicate consistency with earlier sea ice analyses, maintaining a mean snow depth retrieval bias and error within 3 cm over the landfast ice. Promising performance is also found over frozen ground using Ku-band (mean biases less than 6 cm). To address the specific challenge of lake ice, which includes strong returns from the ice/water interface, we present a new interface-detection technique that simultaneously retrieves snow depth and ice thickness. While current validation focuses on undisturbed snow, this approach could provide a path forward for characterizing the cryospheric environment in a way that can directly support the optimization of winter roads…”
#Cryosphere #RemoteSensing #Snow #SeaIce #LakeIce #WinterRoads #characterisation #ArcticResearch #EarthObservation #PolarScience #maintainence #ploughing #winter #roads #transportation #northern #communities #mines #FirstNation #canada #remotesensing #polarimetric #radar #snowdepth #ice #landfastice #iceroad #tundra #Churchill #Manitoba #ResoluteBay #Nunavut #monitoring #planning #safety #trucking #freight -
Impact Of Urbanization Driven Land Use And Land Cover Change On Ecological Environmental Quality In Rupandehi Nepal Assessed Using The Remote Sensing Ecological Index
--
https://doi.org/10.1007/s44288-026-00650-y <-- shared paper
--
https://kathmandupost.com/money/2026/02/18/rupandehi-s-continued-urban-sprawl-comes-at-a-cost-for-agriculture-in-the-periphery <-- shared media article
--
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…”
--
“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 -
Enhancements To The USGS Landsat Level 2 Surface Temperature And Emissivity Product For Collection3 Reprocessing
--
https://doi.org/10.1016/j.rse.2026.115563 <-- shared paper
--
H/T @terry Sohl | USGS EROS Science Branch Chief
“HIGHLIGHTS:
• C3 advances Landsat TIR atmospheric correction, emissivity correction, and uncertainty estimates.
• C3 enables global surface temperature products, including polar regions.
• C3 retrievals improve accuracy and consistency across validation sites.
• Split window and single channel methods diverge at extreme temperature conditions.
• C3 and Landsat 10 support multi-decadal climate monitoring.
ABSTRACT: The Landsat program provides the longest continuous global record of thermal infrared observations of the Earth's surface, underpinning critical applications in climate monitoring, water resources, ecosystem dynamics, urban heat analysis, and natural hazard assessment. The release of a global inventory of Landsat Collection 2 Level 2 surface temperature products by the U.S. Geological Survey (USGS) marked a major milestone in operational provision of Landsat thermal infrared analysis-ready data. Ongoing validations and community uses of Collection 2 have identified opportunities to further improve accuracy, uncertainty characterization, and emissivity correction across diverse atmospheric and surface conditions. In preparation for the planned Landsat Collection 3 reprocessing of the Landsat data record in the late 2020s, the USGS is implementing a coordinated set of enhancements to the Level 2 surface temperature products. These include revised emissivity estimation that leverages external datasets, improved atmospheric characterization and uncertainty propagation, expanded dynamic range for high temperature targets, consideration of split window atmospheric correction algorithm for Landsat 8 and 9, and decoupling of thermal infrared processing from visible to shortwave infrared constraints to enable surface temperature retrievals under low or no solar illumination conditions. These changes are designed to improve product quality and consistency across the Landsat record. Beyond near-term performance gains, the Collection 3 design establishes a scalable processing architecture to accommodate the expanded spectral and radiometric measurement capabilities of the forthcoming Landsat 10 mission. By preserving continuity across the Landsat 4–9 record while enabling future algorithm evolution, Landsat Collection 3 will provide a foundation for long-term, multi-decadal Earth system thermal infrared observations…”
#GIS #spatial #mapping #satellite #remotesening #earthobservation #Landsat #thermalinfrared #TIR #surface #temperature #emissivity #thermal #infrared #analysisreadydata #Collection2 #Collection3 #opendata #atmosphericcorrection #global #climate #monitoring #waterresources #ecosystems #dynamics #urbanheat #spatialanalysis #spatiotemporal #naturalhazards #updates #EROS #USGS
@USGS EROS | @USGS -
Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
--
https://doi.org/10.1371/journal.pwat.0000416 <-- shared paper
--
H/T @Guillaume Wright | Executive Editor, PLOS
“💧 With drought [and high temperatures] gripping many areas of the world right now... [the H/T] wanted to highlight a new paper in PLOS Water this week with a very timely focus on hydroclimatic stresses and what can be done to mitigate this through water management practices when it comes to agriculture.
[The authors] investigate[d] adaptive water management practices in California’s Santa Clara Valley via remote sensing and machine learning techniques. They [found] good evidence for use of customized agricultural water-management plans for irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent regions such as is found in California…”
#GIS #spatial #mapping #California #SantaClara #SantaClaraValley #custom #watermanagement #practices #waterresources #agriculture #remotesensing #spatialanalysis #machinelearning #earthobservation #AI #planning #wateruse #efficiency #water #hydrology #irrigation #conservation #adaptivewatermanagement #model #modeling #drought #extremeweather #hydroclimate #stress #crop #cropland #evapotranspiration #ET #NDVI #PRISM #precipitation #rainfall #watermanagementplan #groundwater -
Global Performance of #RemoteSensing Based and Reanalysis-Driven Models to Estimate Open Water Evaporation
--
https://doi.org/10.1029/2025WR042363
--
“ABSTRACT: Evaporation plays an essential role in the water cycle, influencing local and regional climates while directly impacting water availability in lakes. However, directly measuring evaporation over water bodies remains challenging due to the high costs of installing and maintaining the required in situ instrumentation. Although several remote sensing algorithms have been providing evaporation estimates, the lack of a global validation hinders our understanding of their relative uncertainties and performances across different regions. Here, [they] analyze[d] the performance of a suite of models that leverage satellite data and meteorological reanalysis to estimate evaporation over lakes worldwide. [They] compare[d] three remote sensing-based models, one reanalysis-driven model and one ensemble approach, using in situ observations from 27 lakes representing a diverse range of geographic and climatic regions. [Their] results demonstrate that, overall, the ensemble outperformed any individual model in terms of accuracy, with a RMSE and a bias of 1.3 and 0.3 mm/day, respectively. These findings highlight the benefits of using an ensemble approach to estimate open water evaporation with satellite-based models at the global scale, leveraging the unique strengths of each model. For the individual models, differences in the representation of heat storage changes and advection effects led to lower values of RMSE and bias, depending on the location and depth of the lakes. This study sets the path for future improvement of open water evaporation algorithms globally, while remote sensing techniques are proven satisfactory to monitoring of water loss in lakes globally, an essential step toward effective large-scale water resources management.
PLAIN LANGUAGE SUMMARY: Water loss through evaporation in lakes and reservoirs directly affects water availability, which highlights the need to monitor these losses. However, measuring evaporation in situ is challenging and expensive. An alternative is to estimate evaporation using remote-sensing models and compare these estimates with in-situ data to verify their accuracy. Here, [they] evaluated four models and their ensemble (the models' mean value) using measurements from 27 lakes and reservoirs worldwide. [They] found that the ensemble presented higher accuracy and consistency than any individual model because it benefits from the strengths of each model. This approach can guide future improvements in estimating open-water evaporation, which is essential for large-scale water-resource management…”
#global #mapping #earthobservation #GIS #spatial #spatialanalysis #spatiotemporal #model #modeling #water #hydrology #surfacewater #waterbody #lake #reservoir #evaporation #evapotranspiration #watercycle #weather #meteorology #usecase #waterresources #watermanagement #waterloss #regional #estimate #policy #planning #instrumentation #comparasion -
A Scale-Invariance-Based Algorithm Application For Land Surface Temperature Downscaling In Denmark
--
https://doi.org/10.3390/rs18132263 <-- shared paper
--
https://zenodo.org/records/20863040 <-- shared open data for downscaled LST dataset for Copenhagen
--
H/T @CLIM4cities
#urbanclimate #downscaling #landsurfacetemperature #LST #AI #machinelearning #scaleinvariance #residualcorrection #Sentinel #Landsat #satellite #remotesensing #earthobservation #CLIM4cities #UrbanClimate #ClimateServices #MachineLearning #ClimateAdaptation #heatwave #temperature #ontheground #Copenhagen #Denmark #impervioussurface #asphalt #roof #concrete #albedo #heatabsorption #mitigation #urban #urbancentre #treecover #vegetation #urbanheatisland #planning #design #hotspots #monitoring #spatialanalysis #spatiotemporal #model #modeling #usecase #operational #climatechange #extremeweather #evidencebased #adapation #sustainability #urbanplanning #climateresilience #EssentialClimateVariable #ECV
@+ATLANTIC | @Danish Meteorological Institute | @ESA Φ-lab Collaborative Innovation Network | @CLIM4cities -
Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
--
https://doi.org/10.3389/fenvs.2026.1764771 <-- shared paper
--
https://doi.org/10.1038/s43247-026-03661-2 <-- shared paper
--
https://doi.org/10.1002/joc.6443 <-- shared paper
--
https://www.pik-potsdam.de/en/news/latest-news/from-droughts-to-floods-climate-change-and-migration-in-peru | https://publications.iom.int/books/evaluacion-de-la-evidencia-cambio-climatico-y-migracion-en-el-peru <-- shared 2021 Peru hydroclimate technical article | report
--
https://youtu.be/Ngbm0gsmYAw?si=haqV7t15pGkEmJB8 <-- shared overview video
--
#water #GIS #spatial #mappping #spatialanalysis #spatiotemporal #remotesensing #earthobservation #Hydrology #Hydroclimatology #ClimateChange #extremeweather #WaterResources #WaterSecurity uncertainity #SouthAmerica #ClimateData #PeerReview #OpenScience #Hydrometeorology #opendata #datasets #rainfall #precipitation #fluvial #heatwave #temperature #changing #consistency #flood #flooding #drought #riskmanagement #risk #hazard #earthsystems #resilience #waterquality #waterpollution #model #modeling #monitoring #records #hydroclimate #hydrogeomorphology #review #SouthAmerica #planning #policy #sustainability #evapotranspiration #runoff #waterstorage #SAHCD -
☀️ Good morning from #FOSS4GE2026 !
A new day has started in Timișoara, with sessions on ☁️ Cloud GIS , #QGIS 🧭, #MapLibre 🗺️, #GeoServer 🛠️, 🛰️ Earth Observation, 🤖 AI, 🌆Digital Twins, and much more.
We look forward to inspiring discussions, live demonstrations, and interesting conversations with the open geospatial community. See you around! 🌍
#OpenSource #Geospatial #GIS #EarthObservation #digitaltwins
-
[G]lobal Decline In Endorheic Basin Water Storages
--
https://doi.org/10.1038/s41561-018-0265-7 <-- shared paper
--
https://en.wikipedia.org/wiki/Endorheic_basin <-- shared Wikipedia page
--
“Endorheic (hydrologically landlocked) basins spatially concur with arid/semi-arid climates. Given limited precipitation but high potential evaporation, their water storage is vulnerable to subtle flux perturbations, which are exacerbated by global warming and human activities. Increasing regional evidence suggests a probably recent net decline in endorheic water storage, but this remains unquantified at a global scale. By integrating satellite observations and hydrological modelling, [they] reveal[ed] that during 2002–2016 the global endorheic system experienced a widespread water loss of about 106.3 Gt/yr, attributed to comparable losses in surface water, soil moisture and groundwater. This decadal decline, disparate from water storage fluctuations in exorheic basins, appears less sensitive to El Niño–Southern Oscillation-driven climate variability, which implies a possible response to longer-term climate conditions and human water management. In the mass-conserved hydrosphere, such an endorheic water loss not only exacerbates local water stress, but also imposes excess water on exorheic basins, leading to a potential sea level rise that matches the contribution of nearly half of the land glacier retreat (excluding Greenland and Antarctica). Given these dual ramifications, [they] suggest the necessity for long-term monitoring of water storage variation in the global endorheic system and the inclusion of its net contribution to future sea level budgeting…”
#water #hydrology #hydrography #global #waterresources #waterstorage #Endorheic #Basin #watersecurity #arid #semiarid #rainfall #precipitation #spatialanalysis #spatiotemporal #globalwarming #climatechange #humanimpacts #anthropogenic #regional #remotesensing #GIS #spatial #mapping #earthobservation #surfacewater #groundwater #soilmoisture #exorheic #watermanagement #hydrosphere #waterstress #SLR #sealevelrise #monitoring #waterbudgets -
Decoupling Of Surface Water Storage From Precipitation In Global Drylands Due To Anthropogenic Activity
--
https://doi.org/10.1038/s44221-024-00367-7 <-- shared paper
--
“The availability of surface water in global drylands is essential for both human society and ecosystems. However, the long-term drivers of change in surface water storage, particularly those related to anthropogenic activities, remain unclear. Here [they] use[d] multi-mission remote sensing data to construct monthly time series of water storage changes from 1985 to 2020 for 105,400 lakes and reservoirs in global drylands. An increase of 2.20 km³ per year in surface water storage is found primarily due to the construction of new reservoirs. For lakes and old reservoirs (constructed before 1983), conversely, the trend in storage is minor when aggregated globally, but they dominate surface water storage trends in 91% of individual global dryland basins. Further analysis reveals that long-term storage changes in these water bodies are primarily linked to anthropogenic factors - including human-induced warming and water-management practices - rather than to precipitation changes, as previously thought. These findings reveal a decoupling of surface water storage from precipitation in global drylands, raising concerns about societal and ecosystem sustainability…”
#water #hydrology #hydrography #waterstorage #waterresources #surfacewater #global #drylands #precipitation #rainfall #watersecurity #ecosystems #habitat #publichealth #anthropogenic #GIS #spatial #mapping #remotesensing #earthobservation #spatiotemporal #spatialanalysis #monitoring #geostatistics #engineering #reservoirs #infrastructure #lakes #waterbodies #globalwarming #climatechange #sustainability #planning #baseline -
Multidecadal Reconstruction Of Terrestrial Water Storage Changes By Combining Pre-GRACE Satellite Observations And Climate Data
--
https://doi.org/10.5194/essd-18-1747-2026 <-- shared paper
--
https://doi.org/10.5281/zenodo.15827789 <-- reconstructed fields and corresponding uncertainty datasets
--
https://doi.org/10.5281/zenodo.16643628 <-- corresponding time series datasets
--
#GIS #spatial #mapping #remotesensing #earthobservation #GRACE #GRACEFO #water #hydrology #hydrography #waterresources #waterstorage #planning #monitoring #spatialanalysis #spatiotemporal #climatemodel #climatechange #extremeweather #regression #AI #machinelearning #rainfall #precipitation #remperatures #parameters #gravity #geodetic #satellite #orbitography #geomorphometry #DORIS #global #reconstruction #limitations #usecase -
I was really honored to give a talk (remotely) at NASA Goddard today! Thanks for the invitation, and I hope we'll stay in touch!
#RemoteSensing #NighttimeLights #NightLightRemoteSensing #VIIRS_DNB #SDGSat1 #ESA #EarthExplorer #EarthObservation #LightPollution
-
Characterizing Wildfire Behavior With ECOSTRESS Land Surface Temperature Across Four California Case Studies
--
https://doi.org/10.1016/j.ecoinf.2026.103777 <-- shared paper
--
#GIS #spatial #mapping #ECOSTRESS #remotesensing #earthobservation #wildfire #increased #frequency #intensity #forestfire #monitoring #hotspot #detection #Rateofspread #HotspotBurn #severity #spatialanalysis #spatiotemporal #VIIRS #fireradiativepower #FRP #landsurface #temperature #California #casestudy #burn #severity #dNBR #landsat #satellite #WesternUSA #extremeweather #climatechange #water #hydrology #hydrometeorology #drought #humanactivity #humanimpacts #ECOsystemSpaceborneThermalRadiometerExperimentonSpaceStation #ISS #spacestation #LST #rateofspread
@nasa -
A paper that I co-authored was just published (#OpenAccess) a few minutes ago in Nature 🎉 https://www.nature.com/articles/s41586-026-10260-w
Here's a short thread about what we did and what we learned 👇
#LightPollution #Energy #ALAN #RemoteSensing #NightLightRemoteSensing #EarthObservation #VIIRS_DNB
-
A Review Of Evolving Remote Sensing And Automated Techniques In Rock Glacier Mapping
--
https://doi.org/10.1016/j.earscirev.2026.105473 <-- shared paper
--
#GIS #spatial #mapping #rockglacier #glaciers #permafrost #remotesensing #interferometry #earthobservation #spatialanalysis #machinelearning #AI #machinelearning #ML #deeplearning #CNN #metrics #inventory #earthobservation #GeoAI #geostatistics #InSAR #LiDAR #radar #satellite #review #literaturereview #geomorphology #geomorphometry #hydrology #geohazard #risk #hazard #engineeringgeology #biodiversity #permafrost #cryosphere #ice #snow #geology #assessment #survey #research
@Geospatial Research Institute Toi Hangarau | @University of Canterbury -
‘On A Whole Other Level’ - Rapid Snow Melt-Off In American West Stuns Scientists
--
Experts say brutal March heat has left critical snowpack at record-low levels – and key basins in uncharted territory
--
https://www.theguardian.com/us-news/2026/apr/01/snowmelt-american-west <-- shared media/technical article
--
https://www.nifc.gov/nicc-files/predictive/outlooks/monthly_seasonal_outlook.pdf <-- shared National Significant Wildland Fire Potential @ 04/01/26 (for the next four months)
--
[ extreme lack of snowfall already in the ‘25/’26 US West winter to begin with, and now this… ☹ ]
#GIS #spatial #mapping #remotesensing #weather #metrology #climatechange #extremeweather #snowpack #USWest #USA #winter #heat #melting #snowmelt #risk #hazard #water #hydrology #waterresources #watersecurity #agriculture #wildfire #risk #hazard #firerisk #watersupply #watershed #management #planning #Colorado #Utah #California #earthobservation
@the Guardian | @nasa | @California Department of Water Resources -
A Review Of Current Best Practices And Future Directions In Assimilating GRACE/-FO Terrestrial Water Storage Data Into Numerical Models
--
https://doi.org/10.5194/hess-30-985-2026 <-- shared technical article/review 📖 🔗
--
https://grace.jpl.nasa.gov/ <-- @nasa @JPL home page, Gravity Recovery and Climate Experiment (GRACE)
--
#GRACE #GRACEFO #DataAssimilation #EarthObservation #Hydrology #WaterResources #ClimateScience #RemoteSensing #CRC1502 #GIS #spatial #mapping #remotesensing #satellite #earthobservation #water #hydrology #model #modeling #landsurface #hydrogeomorphology #geomorphology #geomorphometry #waterresources #waterstorage #monitoring #groundwater #trends #spatialanalysis #spatiotemporal #droughts #floods #extremeweather #literature #review #summary #watercycle #geostatistics #humanimpacts #irrigation #watermanagement #anthropogenic #pumping #extraction #AI #ML #machinelearning -
Observing The Tidal Pulse Of Rivers From Wide-Swath Satellite Altimetry
--
https://doi.org/10.1038/s41586-026-10287-z <-- shared paper
--
https://dahiti.dgfi.tum.de/en/products/river-tides/map/ <-- shared interactive map, ‘River Tides from SWOT’
--
#SWOT #RemoteSensing #Hydrology #EarthObservation #ClimateScience #CoastalSystems #Rivers #OpenScience #opendata #tide #tidal #dynamics #exchange #estuary #estuarine #webmap #wetlands #ecosystems #habitat #elevation #marine #freshwater #water #hydrography #hydrology #river #GIS #spatial #mapping #satellite #altimetry #coast #coastal #GIS #spatial #mapping #spatialanalysis #spatiotemporal #SurfaceWaterandOceanTopography #global #coverage #monitoring #model #modeling #riverine #fluvial #carbonbudgets #nitrogencycle #sedimentation #sealevelrise #SLR #megadroughts #extraction #pumping #regulations #groundwater #intrusion #risk #hazard #naturalhazards #stormsurge #waterresources #tidalrange #rivermouth -
Global Mapping Of Lake-Terminating Glaciers
--
https://doi.org/10.5194/essd-18-1665-2026 <-- shared paper / technical article
--
https://zenodo.org/records/18608170 <-- shared open dataset
--
https://eos.org/articles/satellite-data-archives-reveal-unrecorded-himalayan-floods <-- shared 2018 technical article, “Satellite Data Archives Reveal Unrecorded Himalayan Floods”
--
#GIS #spatial #mapping #global #glacier #lake #terminating #glaciers #terminus #glacial #cryosphere #proglacial #GLOF #water #hydrology #fluvial #risk #hazard #glaciallakeoutburstflood #melt #melting #inventory #RGI7 #spatialanalysis #remotesensing #earthobservation #satellite #imagery
@ESA -
From Space To Field - Putting satellite insights into growers’ hands [OpenET]
--
https://irrigationtoday.org/features/from-space-to-field/ <-- shared technical media article
--
https://etdata.org/ <-- shared OpenET home page
--
https://www.nasa.gov/image-article/openet-satellite-based-water-data-resource/ <-- shared NASA technical article
--
https://youtu.be/Rbobf6aurLs?si=Q0kN9eiZH0gT8O5m <-- shared OpenET overview video
--
#OpenET #openscience #opendata #publicgood #publicservice #nonprofit #fedscience #fedservice #evapotranspiration #ET #Landsat #OLI #OperationalLandImager #groundwater #water #hydrology #spatialanalysis #spatiotemporal #agriculture #USA #farming #waterresources #watermanagement #planning #watersecurity #satellite #remotesensing #earthobservation #model #modeling #irrigation #metrology #raster #cost #economics #efficiency #foodproduction #mobileapp #FARMS #view #download #usecase #reporting
#OpenET #USGS #USDA @NASA #USGS_EROS -
Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina
--
https://doi.org/10.3390/atmos17020124 <-- shared paper
--
#GIS #spatial #mapping #drought #risk #hazard #remotesensing #MODIS #satellite #earthobservation #spatialanalysis #spatiotemporal #monitoring #Ukrina #RiverBasin #Bosnia #Herzegovina #BosniaHerzegovina #water #waterresources #socioeconomic #risk #hazard #cost #economics #agriculture #foodsecurity #watersecurity #landcover #vegetation #croplands #fruit #crops #metrology #hydrology #droughtexposure #basins #riverbasins #watersheds #monitoring #mitigation #planning #droughtrisk -
Accelerated Glacier Area Loss and Extinction of Small Glaciers in the Bhutanese Himalaya over the Past Five Decades
--
https://doi.org/10.3390/rs18020323 <-- shared paper
--
#Bhutan #Himalayas #glacierinventory #debriscover #laketerminating #cryosphere #glacier #inventory #change #GIS #spatial #mapping #spatialanalysis #spatiotemporal #glacierloss #extinction #spatialanalysis #spatiotemporal #remotesensing #earthobservation #GLOF #flood #flooding #atmospheric #warming #waterresources #naturalhazard #risk #hazard #mountain #highmountain #model #modeling #climatechange #glacierretreat #ecosystems #humanimpacts #Tibet -
Remotely Sensed Soil Moisture Can Capture Dynamics Relevant To Plant Water Uptake
--
https://doi.org/10.1029/2022WR033814 <-- shared (2023) paper
--
#GIS #spatial #mapping #remotesensing #global #soil #moisture #earthobservation #Lband #satellite #landsurface #landuse #biosphere #hydrosphere #microwave #vegetation #botany #roots #agriculture #pluvial #rainfall #taproot #planthealth #foodsecurity #production #rootzones #spatialanalysis #spatiotemporal #grasslands #croplands #shrubs #trees #seasonal #water #hydrology #wateruptake #SMAP
@nasa @nasa Goddard @AGU
