AI and modern tooling are reshaping geospatial work by enabling free satellite data, cloud platforms, and machine learning models to process imagery at scale. Practical workflows now use open-source l…
A new PyTorch-based optimization method reconstructs high-resolution Sentinel-2 reflectance scenes from approximately 30 low-resolution observations by exploiting sub-pixel jitter between repeat passe…
Researchers have developed the first vision transformer-based method for mapping coastal algal blooms using Landsat-8/9 and Sentinel-2 satellite imagery. The deep learning approach outperformed tradit…
Researchers released Biomazon, a 20-meter multimodal benchmark dataset covering the Amazon Basin that pairs GEDI relative height (RH) profiles and aboveground biomass density (AGBD) targets with satel…
Researchers from multiple institutions evaluated machine learning and deep learning models for satellite-derived bathymetry using Sentinel-2 imagery, finding that preserving spatial continuity during …
Researchers have developed AGFlow, a spatiotemporal flow-matching model that fuses asynchronous Sentinel-1 radar and Sentinel-2 optical satellite data to remove clouds and reconstruct missing time-ser…