Tag: Sentinel-2

Satellite-based analysis of Türkiye's 2021 Manavgat wildfire estimates a four-year carbon sink deficit of 227,150 tonnes of carbon, valued at ...

A new machine learning atmospheric correction framework called AQUAVERSE-AC retrieves water reflectance from Landsat and Sentinel-2 imagery with lower errors ...

A dual-branch deep learning framework called MAG-Net fuses Sentinel-1 radar and Sentinel-2 optical imagery over Hudson Bay, reaching 96.69% mean ...

An agronomic-knowledge guided deep learning model called AKGMamba estimates plot-scale seed maize yield from Sentinel-2 imagery, reaching an R2 of ...

A new study maps desertification sensitivity across the Oued-Sakni sub-catchment in central Algeria, classifying 43.6% of its surface as critical ...

A study combining Sentinel-2 imagery and MIKE 21 hydrodynamic modeling shows that tides, monsoon-driven river discharge and estuary shape control ...

A new satellite study mapped 148 square kilometres of bamboo in eastern Nepal using Sentinel-2 imagery, finding that a Random ...

Researchers assembled 5513 Sentinel-2 image-mask pairs from 23 Arctic permafrost lowlands to train and compare models that map small thermokarst ...

A locally calibrated Sentinel-2 algorithm tracked five years of chlorophyll-a variability in Indonesia's Pekalongan coastal waters, revealing estuarine hotspots and ...

ConceptSeg, a new open-vocabulary segmentation framework, lets analysts outline satellite and aerial imagery features using plain text descriptions, outperforming same-regime ...