#earthobservation — Public Fediverse posts

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.

https://mediafaro.org/article/20260915-esa-launches-two-climate-observation-satellites?mf_channel=mastodon&action=forward

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

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
--
https://spacedaily.com/s-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/ <-- shared technical article
--
https://beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
--
http://alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
--
https://geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
--
https://crops.extension.iastate.edu/post/what-you-need-know-about-2026-datum-shift-gps <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
--
https://geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
--
https://www.federalregister.gov/documents/2024/10/09/2024-23347/updated-implementation-timeline-for-the-modernized-national-spatial-reference-system-nsrs <-- 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

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
--
https://spacedaily.com/s-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/ <-- shared technical article
--
https://beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
--
http://alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
--
https://geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
--
https://crops.extension.iastate.edu/post/what-you-need-know-about-2026-datum-shift-gps <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
--
https://geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
--
https://www.federalregister.gov/documents/2024/10/09/2024-23347/updated-implementation-timeline-for-the-modernized-national-spatial-reference-system-nsrs <-- 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

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
--
http://alturl.com/wfsc5 <--- shared technical article
--
https://beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
--
http://alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
--
https://geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
--
https://crops.extension.iastate.edu/post/what-you-need-know-about-2026-datum-shift-gps <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
--
https://geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
--
https://www.federalregister.gov/documents/2024/10/09/2024-23347/updated-implementation-timeline-for-the-modernized-national-spatial-reference-system-nsrs <-- 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

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
--
https://spacedaily.com/s-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/ <-- shared technical article
--
https://beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
--
http://alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
--
https://geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
--
https://crops.extension.iastate.edu/post/what-you-need-know-about-2026-datum-shift-gps <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
--
https://geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
--
https://www.federalregister.gov/documents/2024/10/09/2024-23347/updated-implementation-timeline-for-the-modernized-national-spatial-reference-system-nsrs <-- 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

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
--
https://spacedaily.com/s-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/ <-- shared technical article
--
https://beta.ngs.noaa.gov/ <-- shared NGS NSRS Beta Product Release Site
--
http://alturl.com/wuzcg <-- shared NOAA/NGS β SPCS2022 online interactive map
--
https://geodesy.noaa.gov/ <-- shared NOAA National Geodetic Survey (NGS) home page
--
https://crops.extension.iastate.edu/post/what-you-need-know-about-2026-datum-shift-gps <-- shared technical article, ‘What You Need to Know About the 202[7] Datum Shift (GPS)’
--
https://geodesy.noaa.gov/GRAV-D/ <-- shared Gravity for the Redefinition of the American Vertical Datum (GRAV-D) home page
--
https://www.federalregister.gov/documents/2024/10/09/2024-23347/updated-implementation-timeline-for-the-modernized-national-spatial-reference-system-nsrs <-- 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

Satellite view of Ohio — 2026-09-13
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=2026-09-13

Imagery: NASA GIBS #satellite #NASA #EarthObservation

Satellite view of Ohio — 2026-09-13
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=2026-09-13

Imagery: NASA GIBS #satellite #NASA #EarthObservation

Satellite view of Ohio — 2026-09-13
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=2026-09-13

Imagery: NASA GIBS #satellite #NASA #EarthObservation

Satellite view of Ohio — 2026-09-13
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=2026-09-13

Imagery: NASA GIBS #satellite #NASA #EarthObservation

Satellite view of Ohio — 2026-09-13
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=2026-09-13

Imagery: NASA GIBS #satellite #NASA #EarthObservation

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. https://www.space.com/space-exploration/satellites/astranis-perceptor-satellites-geostationary-orbit-space-situational-awareness #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

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. https://www.space.com/space-exploration/satellites/astranis-perceptor-satellites-geostationary-orbit-space-situational-awareness #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

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. https://www.space.com/space-exploration/satellites/astranis-perceptor-satellites-geostationary-orbit-space-situational-awareness #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

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. https://www.space.com/space-exploration/satellites/astranis-perceptor-satellites-geostationary-orbit-space-situational-awareness #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

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. https://www.space.com/space-exploration/satellites/astranis-perceptor-satellites-geostationary-orbit-space-situational-awareness #Space #Satellite #GEO #GeostationaryOrbit #Perceptor #Astranis #Spacecraft #Reconnaissance #Sensors #OpticalSensors #USSF #EarthObservation #USGov

"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. https://www.skyatnightmagazine.com/space-missions/amazing-photos-taken-from-the-international-space-station #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

"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. https://www.skyatnightmagazine.com/space-missions/amazing-photos-taken-from-the-international-space-station #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

"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. https://www.skyatnightmagazine.com/space-missions/amazing-photos-taken-from-the-international-space-station #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

"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. https://www.skyatnightmagazine.com/space-missions/amazing-photos-taken-from-the-international-space-station #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

"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. https://www.skyatnightmagazine.com/space-missions/amazing-photos-taken-from-the-international-space-station #NASA #space #photography #EarthObservation #OverviewEffect #spacegeek

https://www.europesays.com/dk/165450/ Copenhagen, Denmark | EU Space Policy #Copenhagen #EarthObservation #ForestryAndBiodiversity

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:

https://github.com/Nowosad/OGH_summer_school_2026

#EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

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:

https://github.com/Nowosad/OGH_summer_school_2026

#EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

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:

https://github.com/Nowosad/OGH_summer_school_2026

#EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

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:

https://github.com/Nowosad/OGH_summer_school_2026

#EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

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:

https://github.com/Nowosad/OGH_summer_school_2026

#EarthObservation #RemoteSensing #Geospatial #OpenGeoHub

A Scalable Cloud-Native Framework for Satellite Rainfall-Driven Landslide Early Warning in Data-Scarce Regions
--
https://doi.org/10.5194/egusphere-2026-4588 <-- shared technical article
--
https://ee-yunuscool.projects.earthengine.app/view/alert-app <-- shared web map based ALERT, Automated Landslide Early Risk Tracker
--
https://doi.org/10.1186/s40677-022-00218-1 <-- 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

Sub-Seasonal Forecasting Of Cropland Productivity Anomalies Using Satellite Soil Moisture In Water-Limited Environments
--
https://doi.org/10.1016/j.rse.2026.115645 <-- shared paper
--
H/T @Adebowale Daniel Adebayo | Doctoral Candidate | Geospatial Data Scientist
“When rainfall fails and evaporative demand climbs, root-zone soil moisture is where the deficit registers first and where it carries forward, weeks before crop condition reflects it. In this study [link above], [the authors] used SMAP root-zone soil moisture to forecast crop productivity anomalies across drought-prone croplands of Eastern and Southern Africa, and [they] quantified how much predictive value soil moisture actually carries, over what lead times, and under which hydroclimatic conditions. The contribution of soil moisture was negligible at short leads but grew steadily out to 40 days, and it concentrated in water-limited croplands where soil moisture and vegetation are most tightly coupled. During the 2024 southern African El Niño drought, the soil moisture informed model resolved the spatial pattern of productivity anomalies roughly a month in advance.
Beyond the results themselves, this work is a pointer to how much predictive information soil moisture holds. Leveraging the temporal record of SMAP-related products together with the 100–200 metre resolution NISAR will deliver gives us, [believes the H/T], a clear path to attempt field-scale drought forecasting in the smallholder landscapes where early warning matters most…”
#agriculture #crops #foodsecurity #cropland #productivity #forecasting #rootzone #soilmoisture #SMAP #NIRV #subseasonal #prediction #EasternAfrica #SouthernAfrica #africa #vegetation #anomaly #precipitation #ET #drought #extremeweather #water #hydrology #hydroclimate #productivity #arid #waterlimited #spatialanalysis #spatiotemporal #model #modeling #vegetation #Africa #ElNino #ElNiño #mitigation #prediction #forecast #smallholders #earlywarning #RZSM #SoilMoistureActivePassive #NearInfraredReflectance #NIR #remotesensing #earthobservation

Interferometric Synthetic Aperture Radar (InSAR) For Monitoring Seasonal Snow
--
https://doi.org/10.1029/2025WR042866 <-- shared paper
--
https://eos.org/features/satellite-radar-advances-could-transform-global-snow-monitoring <-- 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

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

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

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

Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
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https://doi.org/10.1007/s13157-026-02082-3 <-- shared paper
--
H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
“Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
--
“The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
#GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

"“The first thing is to detect an event through sensors and share that information across borders,” he said. “If we can install sensors extensively in the mountains and receive information as soon as an event occurs, we can give people downstream enough time to move to safety.”

https://kathmandupost.com/national/2026/08/26/nepal-flash-flood-kills-at-least-95-leaves-nearly-400-missing-including-foreign-tourists

#nepal #flood #data #earthobservation #sensors #iot

new #antenna, much better #data from DISCO-2 #satellite

colleagues Gianluca Feltrin and Julian Priest on the roof

#DISCO = the Danish Students' #Cubesat Project

#ITUniversity of #Copenhagen #SDU #AU

#greenland #earthObservation #IndustriensFond

Challenges In The Use Of Local Data For Regional Scale Mapping Of C And N Stocks In The Continuous Permafrost Zone At The Yukon Coastal Plain | Heatwave Risks To Tipping Point Of Permafrost
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https://doi.org/10.5194/soil-12-113-2026 <-- shared paper
--
https://doi.org/10.1038/s41558-026-02603-2 <-- shared paper
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https://www.theguardian.com/environment/2026/aug/20/tipping-points-heatwaves-wildfires-permafrost-climate-crisis <-- shared media article
--
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 Calgary's Fuel Continuity: Where Can Wildfire Actually Spread?

In a baseline, unsuppressed fire scenario ("apocalyptic scenario"), surface fires can only sustain a continuous front where vegetation forms an unbroken canopy or grassland corridor.

Using my 2025 Calgary Land Cover Model (v6.0), I isolated all vegetated pixels and calculated the spatial continuity and total area of every single contiguous fuel patch across the city:
🌾 The Nose Hill Island (~1,100 ha): A massive grassland fuel bed right in the city's heart.
🌲 River Corridors (Fish Creek Provincial Park & Bow Valley, 500–1,500 ha): Linear fuel superclusters acting as natural conduits.
🏙️ Urban Built-up Fragmentation: Inside established communities, the continuous network of asphalt, concrete, and roofing fractures vegetation into micro-patches (< 1 ha).

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth #Wildfire

🔥 Calgary Urban Heat: How the Solid-to-Tree Ratio drives an 8°C gap

My Summer 2025 ML satellite analysis reveals a direct relationship between a community's built-to-canopy footprint and surface temperature (LST):

🌳 Cooling Refuges (~29.5–31°C): Roxboro, Rideau Park, Discovery Ridge, Eau Claire (mature canopies + river valleys).
🔥 Northeast Heat Dome (~37–38°C): Marlborough, Rundle, Temple (dense low-rise footprint, minimal mature canopy).
🏗️ New Suburbs: Seton, Redstone, Rangeview (canopy lag: fully built out, but young saplings need years to mature).

🌲 Urban trees are not decorative landscaping — they are critical municipal climate infrastructure.

#GIS #RemoteSensing #YYC #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth

The Latest Data Confirms - Forest Fires Are Getting Worse
--
https://www.wri.org/insights/global-trends-forest-fires <-- shared technical article
--
http://alturl.com/efp6m <-- shared (focused) #GlobalNatureWatch web map
--
https://science.nasa.gov/earth/explore/wildfires-and-climate-change/ <-- shared NASA technical article, ‘Wildfires and Climate Change’
--
https://doi.org/10.3389/frsen.2022.825190 <-- shared paper
--
https://doi.org/10.1073/pnas.2505418122 <-- shared paper
--
https://doi.org/10.1088/1748-9326/add606 <-- shared paper
--
https://globalnaturewatch.org/dashboards/global/ <-- shared Global Nature Watch dashboard
--
https://youtu.be/-0-pv1Bqm-U?si=IHcZJNiVphosbeVt <-- shared overview video
--
https://grist.org/wildfires/the-us-has-lost-a-quarter-of-its-forest-cover-to-fire-since-2001/ <-- shared technical article, ‘Fire is responsible for a quarter of US forest loss since 2021’
--
https://www.nytimes.com/2026/04/29/climate/wri-report-forest-loss.html <-- shared media article
--
H/T @ World Resources Institute
[‘topical’ - Europe, North America, indeed globally, more & more…]
“New data shows that forest fires are getting worse, burning more than twice as much tree cover today as they did 20 years ago, largely due to climate change…
The latest data [2nd link above] confirms [that] forest fires are becoming more widespread and destructive around the globe. Updated data from researchers [3rd link above] shows that between 2001 and 2025 forest fires now burn over twice as much tree cover each year as they did two decades ago, and more than three times as much in the tropics.
This increased fire activity has been starkly visible in recent years. Record-setting blazes are becoming the norm, with four of the five worst years for global forest fires occurring since 2021. As fires worsen - including in historically low-risk areas, like rainforests - they are becoming an increasingly prevalent driver of global forest loss…”
#GlobalForestWatch #GlobalNatureWatch #deforestation #fire #wildfire #forest #vegetation #climatechange #risk #hazard #loss #ecosystems #GIS #spatial #mapping #remotesensing #earthobservation #spatialanalysis #spatiotemporal #global #worldwide #forestfire #damage #destruction #fireactivity #forestLOSS
@WRI | @Global Nature Watch

Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
--
https://doi.org/10.1007/s44288-026-00670-8 <-- 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

The Gendox AI Agent is adapting the SeaScope platform for wildfire monitoring.

These Copernicus Sentinel-2 images show the Porto Germeno wildfire on 31 July 2026 at approximately 09:30 UTC.

We hope everyone is safe. Strength and courage to all those working on the ground.

#Gendox #SeaScope #EarthObservation #WildfireMonitoring #WildfireDetection #Copernicus #Sentinel2 #RemoteSensing #ArtificialIntelligence #PortoGermeno #Greece

Coupled Hydrological And Public Health Risks From Urban Flooding - Integrated Remote Sensing, Machine Learning, And Hydrodynamic–Ecological Modelling
--
https://doi.org/10.1016/j.jhydrol.2026.135999 <-- shared paper
--
https://youtu.be/VHzYLvSYR7k?si=5oGGPeH6T0dFusfY <-- recent overview video created about the research
--
https://doi.org/10.1016/j.wroa.2025.100396 <-- share (earlier) paper
--
H/T @RAHUL DEOPA | Research Scholar (IIT Roorkee)
“… [U]rban floods are not merely hydraulic events; they also transport sewage, pathogens, and other contaminants across streets and communities, leading to significant public health risks…
How do we quantify microbial contamination in near real time during a flood event, when emergency conditions make field sampling unsafe, sparse, or even impossible?...
[The authors] explored whether Earth observation data, combined with machine learning, could bridge this critical monitoring gap. By combining Landsat-derived water surface temperature, machine learning, a coupled MIKE+ Flood–ECO Lab hydrodynamic–ecological model, and Quantitative Microbial Risk Assessment (QMRA), [they] estimated microbial concentrations (𝘌. 𝘤𝘰𝘭𝘪), simulated their fate and transport during floods, and quantified the associated human health risks.
The takeaway: predicting flood risk isn't just about where the water goes; it's about what it's carrying and who it puts in harm's way. Earth observation and machine learning can help close that gap when it matters most, during the emergency, not weeks after…”
#publichealth #risk #hazard #watersecurity #Floodrisk #Humanhealthrisk #Urbanflooding #Hydrodynamicmodelling #waterquality #model #modeling #SupportVectorRegression #flood #flooding #urban #city #sewage #pathogens #contaminant #disease #streets #community #quantification #remotesensing #GIS #spatial #mapping #earthobservation #spatialanalysis #water #hydrology #climatechange #extremeweather #spatiotemporal #AI #machineleraning #fateandtransport #hydrodynamic #microbial #rainfall #drainage #streamflow #topography #hydrogeomorphology #Delhi #India #floodplain

Mapping Multifunctionality In Remote Patagonian Forest Landscapes Reveals High-Value Ecosystems Beyond Protected Areas
--
https://doi.org/10.1038/s43247-026-03515-x <-- shared paper
--
H/T @Peter Potapov | Researcher at the World Resources Institute (WRI)
“This paper is] a strong example of multifunctionality analysis applied to conservation planning. The study mapped six ecosystem functions, including carbon storage, nutrient availability, water regulation, erosion control, habitat quality, and ecological connectivity. [The author] combined satellite data, field soil sampling, and spatial modeling for this comprehensive analysis.
Two findings stand out.
1. Old-growth forests had the highest multifunctionality index of any land cover type.
2. 78.5% of the top multifunctionality hotspots fall outside the region's protected areas, even though PAs already cover more than 54% of the territory.
Together, these results make a clear case for expanding conservation of the remaining Intact Forest Landscapes and primary forests in Patagonia and elsewhere…”
--
“Remote forest landscapes provide critical references for understanding ecosystem functions (EFs) under low anthropogenic pressure, yet their capacity to sustain multiple EFs simultaneously remains poorly understood. [They] assessed landscape multifunctionality in western Patagonia by integrating satellite indicators, field data, and spatial modeling. Six EFs (carbon storage, nutrient availability, water regulation, erosion control, habitat quality, and ecological connectivity) were mapped, and their spatial relationships and hotspot distribution within and outside protected areas (PAs) were analyzed. Old-growth and secondary forests showed the highest functional performance. Strong synergies (ρ ≥ 0.6) between carbon storage and nutrient availability covered >50% of the landscape, whereas strong trade-offs (ρ ≤ –0.6) were spatially limited ( < 6%). Notably, 78% of multifunctionality hotspots occurred outside PAs, indicating that high-functional-value areas extend beyond formal conservation boundaries. These findings reveal spatial mismatches between multifunctionality and protection status and provide a replicable framework for integrating multifunctionality into conservation planning under global change…”
#Patagonia #chile #aysen #coyhaique #landcover #mapping #spatial #spatialpatterns #spatiotemporal #spatialanalysis #forest #vegetation #oldgrowth #secondgrowth #shrubland #grassland #steppe #ecosystem #habitat #nutrients #water #hydrology #erosion #multifunctionality #multifunctionalityanalysis #protectedareas #landuse #conservationplanning #conservation #ecology #carbonstorage #nutrientavailability #waterregulation #erosioncontrol #habitatquality #ecologicalconnectivity #remotesensing #satellite #earthobservation #modeling

☀️ 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

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

#Mexico City is sinking #earthobservation #subsidence #radar #SAR #NISAR https://www.nasa.gov/missions/nisar/us-indian-space-mission-maps-extreme-subsidence-in-mexico-city/

Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
--
https://phys.org/news/2026-05-sea-areas-due-subsidence.html <-- shared technical article
--
https://doi.org/10.1038/s41467-026-72293-z <-- shared paper
--
[#VLM = vertical land motion; #ASL = absolute sea-level; #RSL = relative sea-level; #GIA = (global) Glacial Isostatic Adjustment; #inSAR = Interferometric Synthetic Aperture Radar; #GNSS = Global Navigation Satellite System (~GPS); #OE24 = paper, https://doi.org/10.1038/s41561-023-01357-2, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]
#GIS #spatial #mapping #remotesensing #earthobservation #sealevel #verticallandmotion #absolutesealevel #relativesealevel #GlacialIsostaticAdjustment #geomorphometry #SLR #sealevelrise #coast #coastal #flood #flooding #subsidence #landmass #landsubsidence #global #globalsealevelrise #climatechange #city #urban #farmlands #population #demographics #cities #planning #community #elevation #monitoring #spatialanalysis #spatiotemporal #altimetry

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

Characterizing Wildfire Behavior With ECOSTRESS Land Surface Temperature Across Four California Case Studies
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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