Jannat Khosla·3d agoDEFINING WATER TURBIDITY IN RIVER NILE, CAIRO USING AIMultiple clicks just got simplified using AI?
Vaibhav panchal·3d agoOriented Object Detection: Finding Objects in Satellite Images at Every AngleWhy finding objects in satellite images is so hard, and how rotated boxes and attention help.
Vaidicsrivastava·4d agoWhy Global Satellite AI Fails on Indian Farms , And How We Built Vyom 1.0 From ScratchBy Sphitih AI Research
Bhavishyaa·Nov 6I was in the seventh grade and I witnessed wildfires.I remember being in the seventh grade and walking home from school one day with my two best friends. Everything was normal, except when one…
Avant AI·Nov 6Satellite land movement reports are now available for New Zealand homesLandSure turns up to about ten years of InSAR measurements for a single property into a plain English report.
Arnon Rokprai·Nov 6From Camera-Trap Photos to Habitat Maps: Lessons from a Leopard Cat SDM in Google Earth EngineWhy pair camera traps with GBIF data
Joe T. Santhanavanich·Nov 5Map Floods from Space on Your Mac with NASA’s Open Prithvi AIA step-by-step guide to running a geospatial foundation model locally, from a Sentinel-2 image to a flood map in QGIS.A response icon1A response icon1
Neha Sharma·Nov 4Download ResourceSat LISS-IV (5.8 m) Satellite Imagery from ISRO’s Bhoonidhi PortalHigh-resolution satellite imagery plays an important role in remote sensing, geographic information systems (GIS), urban planning…
Alyanurulfitri·Nov 1Mapping Drought Through the Clouds: How Machine Learning is Rethinking Climate Resilience in Java🌍 Why is mapping Java’s drought so incredibly difficult?
