Just for fun I tested for the first time EO-Tools on a pair of Sentinel-1C and 1D images and it worked out of the box! Of course the InSAR phase does not show much, as fortunately there was no earthquake in Andorra recently! :-)
Just for fun I tested for the first time EO-Tools on a pair of Sentinel-1C and 1D images and it worked out of the box! Of course the InSAR phase does not show much, as fortunately there was no earthquake in Andorra recently! :-)
Why Earth observation data is getting stuck in orbit
https://fed.brid.gy/r/https://spacenews.com/why-earth-observation-data-is-getting-stuck-in-orbit/
Satellite view of Ohio — 2026-05-13
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=2026-05-13
Imagery: NASA GIBS #satellite #NASA #EarthObservation
At ISECEE2026, the session on Remote Sensing, GIS & Earth Observation Technologies will bring together researchers and professionals exploring advanced spatial intelligence systems.
📍 Berlin
📅 September 14–15, 2026
đź”— https://civil.spectrumconferences.com/
🎟 https://civil.spectrumconferences.com/registration
#ISECEE2026 #EngineeringConference #AcademicConference
#RemoteSensing #GIS #EarthObservation #Geospatial
#Berlin #GermanyResearch #BerlinAcademia
#TUberlin #FreieUniversitaetBerlin
#CallForPapers #SubmitAbstract

Dans une application, le programme européen de référence en matière d'observation de la Terre donne la possibilité aux internautes d'avoir un aperçu des températures, des précipitations ou encore de la force du vent et autres variations de la pression atmosphérique sur l'ensemble du globe, heure par heure, depuis 1940.

Dans une application, le programme européen de référence en matière d'observation de la Terre donne la possibilité aux internautes d'avoir un aperçu des températures, des précipitations ou encore de la force du vent et autres variations de la pression atmosphérique sur l'ensemble du globe, heure par heure, depuis 1940.
💡 New Paper on physics-aware AI for #EarthObservation 🌍🤖
By combining physical models with symbolic regression & sparse ML, this work moves toward more interpretable and trustworthy emulators for atmospheric radiative transfer.
👉https://doi.org/10.1109/TGRS.2026.3676858
A step toward explainable AI in Earth system science 🚀
Satellite view of Ohio — 2026-05-10
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=2026-05-10
Imagery: NASA GIBS #satellite #NASA #EarthObservation
Satellite view of Ohio — 2026-05-07
Imagery: MODIS_Terra_CorrectedReflectance_TrueColor
https://worldview.earthdata.nasa.gov/?v=-84.82,38.4,-80.52,42.32&l=MODIS_Terra_CorrectedReflectance_TrueColor&t=2026-05-07
Imagery: NASA GIBS #satellite #NASA #EarthObservation