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#earthobservation — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #earthobservation, aggregated by home.social.

  1. ESA launches two climate observation satellites.

    The European Space Agency has put two satellites into orbit to take a closer look at the impact of climate change. One of them will focus particularly on plant life.

    mediafaro.org/article/20260915

    #ESA #ClimateChange #Space #Satellites #Aerospace #EarthObservation #Europe #Science

  2. The United States Is Replacing Every Official Latitude, Longitude And Height It Publishes, Existing Coordinates Will Move By As Much As Four Metres, And The Million Survey Marks In The Ground Will No Longer Be What The System Is Measured From
    --
    spacedaily.com/s-the-united-st <-- shared technical article
    --
    beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
    --
    alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
    --
    geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
    --
    crops.extension.iastate.edu/po <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
    --
    geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
    --
    federalregister.gov/documents/ <-- shared US Federal Register page, ‘Updated Implementation Timeline for the Modernized National Spatial Reference System (NSRS)’
    --
    “The National Geodetic Survey has spent years building a replacement for the reference system that fixes every published position in the country. New geodetic-control submissions into the old system stop being accepted after January 13, 2027…
    Every official latitude, longitude and height published in the United States is going to change, by as much as four metres. The ground being described will not have moved at all. What is being replaced is the reference system those numbers are counted from.
    The National Geodetic Survey is retiring the North American Datum of 1983 [NAD83] and the North American Vertical Datum of 1988 [NGVD88.] Those are the horizontal and vertical reference systems that currently underpin surveying, flood mapping, construction and aviation across the country. In their place will come four new terrestrial reference frames and one new geopotential datum. The agency has kept the national reference system since its predecessor, the Survey of the Coast, was founded in 1807.
    || The reference surface is what is changing ||
    ... A coordinate is not a property of a place; it is a measurement of that place against an agreed reference surface. The United States is changing the reference surface. The four metres is the gap between two descriptions of the same unmoved point.
    That figure is not uniform either, and the agency does not present it as a single national number. Its guidance says the magnitude of change depends on which datum a user currently works in, where in the country they are, and which epoch the new coordinates refer to. Four metres is the outer edge of the range. NGS publishes separate maps for ellipsoid height change, orthometric height change, and horizontal change on the North American and Pacific plates…”
    # NAPGD2022
    @USGS @FGDC @ngs @NOAA

  3. The United States Is Replacing Every Official Latitude, Longitude And Height It Publishes, Existing Coordinates Will Move By As Much As Four Metres, And The Million Survey Marks In The Ground Will No Longer Be What The System Is Measured From
    --
    spacedaily.com/s-the-united-st <-- shared technical article
    --
    beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
    --
    alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
    --
    geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
    --
    crops.extension.iastate.edu/po <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
    --
    geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
    --
    federalregister.gov/documents/ <-- shared US Federal Register page, ‘Updated Implementation Timeline for the Modernized National Spatial Reference System (NSRS)’
    --
    “The National Geodetic Survey has spent years building a replacement for the reference system that fixes every published position in the country. New geodetic-control submissions into the old system stop being accepted after January 13, 2027…
    Every official latitude, longitude and height published in the United States is going to change, by as much as four metres. The ground being described will not have moved at all. What is being replaced is the reference system those numbers are counted from.
    The National Geodetic Survey is retiring the North American Datum of 1983 [NAD83] and the North American Vertical Datum of 1988 [NGVD88.] Those are the horizontal and vertical reference systems that currently underpin surveying, flood mapping, construction and aviation across the country. In their place will come four new terrestrial reference frames and one new geopotential datum. The agency has kept the national reference system since its predecessor, the Survey of the Coast, was founded in 1807.
    || The reference surface is what is changing ||
    ... A coordinate is not a property of a place; it is a measurement of that place against an agreed reference surface. The United States is changing the reference surface. The four metres is the gap between two descriptions of the same unmoved point.
    That figure is not uniform either, and the agency does not present it as a single national number. Its guidance says the magnitude of change depends on which datum a user currently works in, where in the country they are, and which epoch the new coordinates refer to. Four metres is the outer edge of the range. NGS publishes separate maps for ellipsoid height change, orthometric height change, and horizontal change on the North American and Pacific plates…”
    #GEOID2022 #GeospatialDataAct2018 #GRAVD #GeMS # NAPGD2022 #NSRS #GNSS #GPS #earthfacing #earthobservation #USA #Nation #NATRF2022 #PATRF2022 #CATRF2022 #MATRF2022 #NAPGD2022 #GEOID2022 #SPCS2022 #geoid #latitude #longitude #height #elevation #reference #datums #coordinates #XYZ #control #GIS #spatial #mapping #fedscience #fedservice
    @USGS @FGDC @ngs @NOAA

  4. The United States Is Replacing Every Official Latitude, Longitude And Height It Publishes, Existing Coordinates Will Move By As Much As Four Metres, And The Million Survey Marks In The Ground Will No Longer Be What The System Is Measured From
    --
    alturl.com/wfsc5 <--- shared technical article
    --
    beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
    --
    alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
    --
    geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
    --
    crops.extension.iastate.edu/po <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
    --
    geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
    --
    federalregister.gov/documents/ <-- shared US Federal Register page, ‘Updated Implementation Timeline for the Modernized National Spatial Reference System (NSRS)’
    --
    “The National Geodetic Survey has spent years building a replacement for the reference system that fixes every published position in the country. New geodetic-control submissions into the old system stop being accepted after January 13, 2027…
    Every official latitude, longitude and height published in the United States is going to change, by as much as four metres. The ground being described will not have moved at all. What is being replaced is the reference system those numbers are counted from.
    The National Geodetic Survey is retiring the North American Datum of 1983 [NAD83] and the North American Vertical Datum of 1988 [NGVD88.] Those are the horizontal and vertical reference systems that currently underpin surveying, flood mapping, construction and aviation across the country. In their place will come four new terrestrial reference frames and one new geopotential datum. The agency has kept the national reference system since its predecessor, the Survey of the Coast, was founded in 1807.
    || The reference surface is what is changing ||
    ... A coordinate is not a property of a place; it is a measurement of that place against an agreed reference surface. The United States is changing the reference surface. The four metres is the gap between two descriptions of the same unmoved point.
    That figure is not uniform either, and the agency does not present it as a single national number. Its guidance says the magnitude of change depends on which datum a user currently works in, where in the country they are, and which epoch the new coordinates refer to. Four metres is the outer edge of the range. NGS publishes separate maps for ellipsoid height change, orthometric height change, and horizontal change on the North American and Pacific plates…”
    #GEOID2022 #GeospatialDataAct2018 #GRAVD #GeMS #NAPGD2022 #NSRS #GNSS #GPS #earthfacing #earthobservation #USA #Nation #NATRF2022 #PATRF2022 #CATRF2022 #MATRF2022 #NAPGD2022 #GEOID2022 #SPCS2022 #geoid #latitude #longitude #height #elevation #reference #datums #coordinates #XYZ #control #GIS #spatial #mapping #fedscience #fedservice
    @USGS @FGDC @ngs @NOAA

  5. The United States Is Replacing Every Official Latitude, Longitude And Height It Publishes, Existing Coordinates Will Move By As Much As Four Metres, And The Million Survey Marks In The Ground Will No Longer Be What The System Is Measured From
    --
    spacedaily.com/s-the-united-st <-- shared technical article
    --
    beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
    --
    alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
    --
    geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
    --
    crops.extension.iastate.edu/po <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
    --
    geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
    --
    federalregister.gov/documents/ <-- shared US Federal Register page, ‘Updated Implementation Timeline for the Modernized National Spatial Reference System (NSRS)’
    --
    “The National Geodetic Survey has spent years building a replacement for the reference system that fixes every published position in the country. New geodetic-control submissions into the old system stop being accepted after January 13, 2027…
    Every official latitude, longitude and height published in the United States is going to change, by as much as four metres. The ground being described will not have moved at all. What is being replaced is the reference system those numbers are counted from.
    The National Geodetic Survey is retiring the North American Datum of 1983 [NAD83] and the North American Vertical Datum of 1988 [NGVD88.] Those are the horizontal and vertical reference systems that currently underpin surveying, flood mapping, construction and aviation across the country. In their place will come four new terrestrial reference frames and one new geopotential datum. The agency has kept the national reference system since its predecessor, the Survey of the Coast, was founded in 1807.
    || The reference surface is what is changing ||
    ... A coordinate is not a property of a place; it is a measurement of that place against an agreed reference surface. The United States is changing the reference surface. The four metres is the gap between two descriptions of the same unmoved point.
    That figure is not uniform either, and the agency does not present it as a single national number. Its guidance says the magnitude of change depends on which datum a user currently works in, where in the country they are, and which epoch the new coordinates refer to. Four metres is the outer edge of the range. NGS publishes separate maps for ellipsoid height change, orthometric height change, and horizontal change on the North American and Pacific plates…”
    #GEOID2022 #GeospatialDataAct2018 #GRAVD #GeMS # NAPGD2022 #NSRS #GNSS #GPS #earthfacing #earthobservation #USA #Nation #NATRF2022 #PATRF2022 #CATRF2022 #MATRF2022 #NAPGD2022 #GEOID2022 #SPCS2022 #geoid #latitude #longitude #height #elevation #reference #datums #coordinates #XYZ #control #GIS #spatial #mapping #fedscience #fedservice
    @USGS @FGDC @ngs @NOAA

  6. The United States Is Replacing Every Official Latitude, Longitude And Height It Publishes, Existing Coordinates Will Move By As Much As Four Metres, And The Million Survey Marks In The Ground Will No Longer Be What The System Is Measured From
    --
    spacedaily.com/s-the-united-st <-- shared technical article
    --
    beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
    --
    alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
    --
    geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
    --
    crops.extension.iastate.edu/po <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
    --
    geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
    --
    federalregister.gov/documents/ <-- shared US Federal Register page, ‘Updated Implementation Timeline for the Modernized National Spatial Reference System (NSRS)’
    --
    “The National Geodetic Survey has spent years building a replacement for the reference system that fixes every published position in the country. New geodetic-control submissions into the old system stop being accepted after January 13, 2027…
    Every official latitude, longitude and height published in the United States is going to change, by as much as four metres. The ground being described will not have moved at all. What is being replaced is the reference system those numbers are counted from.
    The National Geodetic Survey is retiring the North American Datum of 1983 [NAD83] and the North American Vertical Datum of 1988 [NGVD88.] Those are the horizontal and vertical reference systems that currently underpin surveying, flood mapping, construction and aviation across the country. In their place will come four new terrestrial reference frames and one new geopotential datum. The agency has kept the national reference system since its predecessor, the Survey of the Coast, was founded in 1807.
    || The reference surface is what is changing ||
    ... A coordinate is not a property of a place; it is a measurement of that place against an agreed reference surface. The United States is changing the reference surface. The four metres is the gap between two descriptions of the same unmoved point.
    That figure is not uniform either, and the agency does not present it as a single national number. Its guidance says the magnitude of change depends on which datum a user currently works in, where in the country they are, and which epoch the new coordinates refer to. Four metres is the outer edge of the range. NGS publishes separate maps for ellipsoid height change, orthometric height change, and horizontal change on the North American and Pacific plates…”
    #GEOID2022 #GeospatialDataAct2018 #GRAVD #GeMS # NAPGD2022 #NSRS #GNSS #GPS #earthfacing #earthobservation #USA #Nation #NATRF2022 #PATRF2022 #CATRF2022 #MATRF2022 #NAPGD2022 #GEOID2022 #SPCS2022 #geoid #latitude #longitude #height #elevation #reference #datums #coordinates #XYZ #control #GIS #spatial #mapping #fedscience #fedservice
    @USGS @FGDC @ngs @NOAA

  7. Spying on "reconnaissance spacecraft" in geostationary orbit (GEO), is gaining momentum.

    Company Astranis building Perceptor spacecraft designed to capture satellite activity in GEO orbits.

    FYI, GEO is typically 35,786kms/22,236 miles above Earth ... popular for communications, weather and "reconnaissance" satellites. space.com/space-exploration/sa #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

  8. Spying on "reconnaissance spacecraft" in geostationary orbit (GEO), is gaining momentum.

    Company Astranis building Perceptor spacecraft designed to capture satellite activity in GEO orbits.

    FYI, GEO is typically 35,786kms/22,236 miles above Earth ... popular for communications, weather and "reconnaissance" satellites. space.com/space-exploration/sa #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

  9. Spying on "reconnaissance spacecraft" in geostationary orbit (GEO), is gaining momentum.

    Company Astranis building Perceptor spacecraft designed to capture satellite activity in GEO orbits.

    FYI, GEO is typically 35,786kms/22,236 miles above Earth ... popular for communications, weather and "reconnaissance" satellites. space.com/space-exploration/sa #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

  10. Spying on "reconnaissance spacecraft" in geostationary orbit (GEO), is gaining momentum.

    Company Astranis building Perceptor spacecraft designed to capture satellite activity in GEO orbits.

    FYI, GEO is typically 35,786kms/22,236 miles above Earth ... popular for communications, weather and "reconnaissance" satellites. space.com/space-exploration/sa #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

  11. Spying on "reconnaissance spacecraft" in geostationary orbit (GEO), is gaining momentum.

    Company Astranis building Perceptor spacecraft designed to capture satellite activity in GEO orbits.

    FYI, GEO is typically 35,786kms/22,236 miles above Earth ... popular for communications, weather and "reconnaissance" satellites. space.com/space-exploration/sa

  12. "17 amazing photos taken from the International Space Station – lightning looks crazy from orbit!" by @Spacecom - Day, night and solar eclipse images by astronauts on #ISS show what an awesome view there is up there. skyatnightmagazine.com/space-m #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

  13. "17 amazing photos taken from the International Space Station – lightning looks crazy from orbit!" by @Spacecom - Day, night and solar eclipse images by astronauts on #ISS show what an awesome view there is up there. skyatnightmagazine.com/space-m #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

  14. "17 amazing photos taken from the International Space Station – lightning looks crazy from orbit!" by @Spacecom - Day, night and solar eclipse images by astronauts on #ISS show what an awesome view there is up there. skyatnightmagazine.com/space-m #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

  15. "17 amazing photos taken from the International Space Station – lightning looks crazy from orbit!" by @Spacecom - Day, night and solar eclipse images by astronauts on #ISS show what an awesome view there is up there. skyatnightmagazine.com/space-m #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

  16. "17 amazing photos taken from the International Space Station – lightning looks crazy from orbit!" by @Spacecom - Day, night and solar eclipse images by astronauts on #ISS show what an awesome view there is up there. skyatnightmagazine.com/space-m #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

  17. Missed the OpenGeoHub Earth Observation Summer School 2026? 🛰️

    You can now explore the slides, links, and other course materials from the sessions in one place:

    github.com/Nowosad/OGH_summer_

    #EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

  18. Missed the OpenGeoHub Earth Observation Summer School 2026? 🛰️

    You can now explore the slides, links, and other course materials from the sessions in one place:

    github.com/Nowosad/OGH_summer_

    #EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

  19. Missed the OpenGeoHub Earth Observation Summer School 2026? 🛰️

    You can now explore the slides, links, and other course materials from the sessions in one place:

    github.com/Nowosad/OGH_summer_

    #EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

  20. Missed the OpenGeoHub Earth Observation Summer School 2026? 🛰️

    You can now explore the slides, links, and other course materials from the sessions in one place:

    github.com/Nowosad/OGH_summer_

    #EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

  21. Missed the OpenGeoHub Earth Observation Summer School 2026? 🛰️

    You can now explore the slides, links, and other course materials from the sessions in one place:

    github.com/Nowosad/OGH_summer_

  22. A Scalable Cloud-Native Framework for Satellite Rainfall-Driven Landslide Early Warning in Data-Scarce Regions
    --
    doi.org/10.5194/egusphere-2026 <-- shared technical article
    --
    ee-yunuscool.projects.eartheng <-- shared web map based ALERT, Automated Landslide Early Risk Tracker
    --
    doi.org/10.1186/s40677-022-002 <-- shared paper
    --
    H/T @ Yunus Ali Pulpadan | Assistant Professor at Indian Institute of Science Education and Research (IISER), Mohali
    “[The authors] are excited to share ALERT — the Automated Landslide Early Risk Tracker, a cloud-native framework and web application developed to support near-real-time, impact-based assessment of rainfall-triggered landslide hazards.
    ALERT integrates multiple components within a single scalable framework:
    🛰️ Satellite-based rainfall observations
    🌦️ Operational weather forecasts
    🗺️ Terrain susceptibility information
    📈 Rainfall intensity–duration thresholds
    🏔️ Debris-flow runout modelling
    🏘️ Building exposure
    The goal is to move beyond simply identifying intense rainfall and towards understanding where hazardous conditions may trigger landslides and what may lie in the potential path of downstream impacts. A particular motivation behind ALERT is the challenge of developing landslide early-warning capabilities in data-scarce mountainous regions, where dense rain-gauge networks and operational monitoring infrastructure are often limited. The framework incorporates a catalogue of rainfall thresholds while also allowing users to integrate their own thresholds and susceptibility information, making it adaptable across different climatic and geomorphological settings…”
    #GIS #spatial #mapping #AI #deeplearning #massmovement #landslide #engineeringgeology #water #precipitation #rainfall #earlywarning #remotesensing #earthobservation #global #webmap #dataportal #risk #hazard #infrastructure #building #weather #forecasting #imagery #debrisflow #model #modeling #ALERT #opendata #climate #geology hydrogeomorphology geomorphology public safety global #regional

  23. Interferometric Synthetic Aperture Radar (InSAR) For Monitoring Seasonal Snow
    --
    doi.org/10.1029/2025WR042866 <-- shared paper
    --
    eos.org/features/satellite-rad <-- shared technical article
    --
    H/T @Jack Tarricone, PhD | Assistant Research Scientist @ NASA GSFC/UMD ESSIC | Remote Sensing and Snow Hydrology
    “[The authors] review[ed] 25 years of progress in using InSAR to measure changes in snow water equivalent (SWE) and snow depth and discuss[ed] what’s needed to extend these methods to basin-scale snow monitoring with NISAR. [They] hope it’s a useful resource for people interested in snow, SAR/InSAR, remote sensing, and hydrology in general…”
    #GIS #spatial #mapping #remotesensing #earthobservation #InterferometricSyntheticApertureRadar #InSAR #literaturereview #research #history #monitoring #spatialanalysis #spatiotemporal #seasonal #snow #water #hydrology #waterresources #snowpack #snowmelt #ablation #melt #runoff #snowwaterequivalent #SWE #NISAR #snowdepth #basin #snowphase #estimation #change #spatial #GIS #mapping #temporal #model #modeling #algorithm #ecosystems #environment #habitat #agriculture #farming #snowmass #satellite

  24. To Predict Tree Death, Scientists Tapped Gamma Rays To Peer Underground
    (Airborne radiation sensors could help forecast and prevent drought-driven tree mortality_
    --
    science.org/content/article/pr <-- shared technical article
    --
    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

  25. Mapping Snow On Northern Winter Roads - A Dual-Frequency Polarimetric Radar Approach For Snow Characterization Over Land, Lake And Sea Ice
    --
    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

  26. How does physical vegetation compare to administrative park maps?

    In a new article by LiveWire Calgary, I shared technical insights from my 10-meter machine learning land cover classification model.

    🛰️ Satellites map physical ground reality, not property boundaries. Multispectral land cover data reveals continuous fine fuel pathways (grass, brush, and canopy) extending across unmanaged ravines and private lots right up to residential property lines at Calgary's Wildland-Urban Interface.

    🔗 Read the full article: livewirecalgary.com/2026/08/06

    #GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #WUI #MachineLearning #Geoscience #GreennessOfCalgary #LiveWireCalgary

  27. Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
    --
    doi.org/10.1007/s44288-026-006 <-- shared paper
    --
    H/T @Narayan Thapa | Earth Data Modeling
    “Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”
    #GIS #spatial #mapping #GoogleEarthEngine #MachineLearning #RemoteSensing #GeospatialAI #DisasterRiskReduction #MultiHazard #ClimateAdaptation #climatechange #extremeweather #LandUsePlanning #SustainableDevelopment #InfrastructurePlanning #RiskAssessment #NaturalHazards #Nepal #EarthObservation #HinduKushHimalaya #HKH #HinduKush #Himalayas #risk #hazard #assessment #national #regional #spatialanalysis #spatiotemporal #massmovement #landslide #assessment #mitigation #water #hydrology #flood #flooding #sustainability

  28. Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
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    doi.org/10.1038/s41598-026-529 <-- shared paper
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    doi.org/10.1007/s11600-022-009 <-- shared paper
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    H/T @Kuldeep Dutta | Geology-Earth Science
    “… In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains.
    Check out the [attached graphical abstract figure] for an integrated visual workflow of the entire disaster continuum from hillslope failure to floodplain transformation...”
    --
    “Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km² of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm day−1) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R2 ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R2 ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades…”
    #EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #trigger #Flooding #massmovement #extremeweather #engineeringgeology #floodplain #innundation #hillslope #fluvial #pluvial #alluvial #sediment #sedimentation #hydrometeorology #ArunachalPradesh #Assam #India #Brahmaputra #risk #hazard #geology #engineeringgeology #remotesensing #earthobservation #spatialanalysis #spatiotemporal #disaster #hydrogeomorphology #workflow

  29. Optical, Radar, And Hybrid Indices To Detect Farming Practices In Europe
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    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    “HIGHLIGHTS:
    • [they] compare[d] Sentinel-1 and Sentinel-2 time series to detect farming practices.
    • HyBRIS index is introduced, temporally weighting BSI and VH/VV into a daily index.
    • Time-series minima and maxima are used to predict sowing, harvest, and tillage.
    • Validation is performed across several years, crop types, and European locations.
    • Phenology detection is improved compared to HRL-Cropland.
    ABSTRACT: Arable farming practices dictate both crop cycles and soil dynamics, and are central to agriculture's environmental impact and its mitigation. Sowing and harvesting mark the beginning and end of the growing season, while tillage modifies soil structure during the dormant period. Although well-established methods exist for delineating the growing season using phenology and optical data, the detection of farming practices, particularly tillage, remains underexplored. This study investigates the strengths of radar and optical data to retrieve sowing, harvest, and tillage dates at the field level, and proposes a novel Hybrid Bare Soil Radar Index (HyBRIS). Based on Sentinel-1 and Sentinel-2, HyBRIS merges optical and radar data into a single index using a temporally weighted mean. Local minima and maxima of the time series are used to detect farming practices across European sites. Validation is carried out against a reference dataset comprising 238 fields in 11 EU countries, including 462 sowing, 374 harvest, and 388 tillage events covering more than 40 crop types over 8 years. Compared to the Copernicus High Resolution Layer Croplands product (HRL-Cropland), the proposed method based on HyBRIS time series improved sowing and harvest dates detection (MAE 26 and 23 days, respectively). Additionally, this method enabled tillage dates estimation during dormant periods (MAE = 28 days), but tended to overestimate the number of tillage events (producer's accuracy = 97%, user's accuracy = 70%). Incorporating soil moisture data is advised for reducing false positives. The results highlight the potential of optical, radar, and hybrid indices for monitoring agricultural management and supporting environmental stewardship…”
    #Sowing #Harvest #tillage #tillagedetection #cropland #CroplandManagement #remotesensing #earthobservation #sentinel #Copernicus #cropland #satellite #optical #radar #sensor #landuse #landcover #landsurface #phenology #agricultural #monitoring #GIS #spatial #mapping #spatialanalysis #spatiotemporal #arable #farming #agriculture #soil #substrate #environment #sustainability #environmentalstewardship #growingseason #Europe #region #model #modeling

  30. Global Atlas Will Track Human And Climate Impact On River Systems
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    news.cornell.edu/stories/2026/
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    “Rivers are critical resources that affect everything from watersheds to agriculture to energy. But rivers, in turn, have been impacted by humans, often in the form of hydraulic infrastructure such as dams and wells.
    A new [Cornell] project… will create a global record that shows how river systems around the world have changed under human influence over the last 75 years…”
    #GIS #spatial #mapping #research #spatialanalysis #spatiotemporal #water #waterresources #river #remotesensing #earthobservation #climatechange #climate #change #resources #humanimpacts #survey #monitoring #hydraulic #infrastructure #dams #wells #engineered #canals #global #spatialdata #opendata #history #anthropocene #freshwater #DARE #sediment #discharge #transport #temperature #fish #biodiversity #atlas #ecology #ecosystems #riverine #delta #model #modeling #machinelearning #AI
    #CornellUniversity | #CornellDuffieldCollegeofEngineering

  31. RE: fediscience.org/@Ruth_Mottram/

    For the morning team: We're looking for scientists excited to work at the cutting edge of Polar science with the latest high resolution climate models and Earth Observation data.
    Funding support available for travel, accomodation + food costs covered

    #Arctic #Antarctic #Polar #ClimateScience #ClimateModelling #EarthObservation #Climate #IceSheets #SeaIce #Permafrost