1 citations · 1 across the 4 of their papers we have counts for
4 papers
Benchmarking Geospatial Foundation Models for Agriculture Applications
Zhuocheng Shang, Sanmay Das, Ahmed Eldawy
Geospatial foundation models pretrained on satellite imagery promise broad generalization across remote sensing tasks and regions, but their geographic transferability has not been…
GRAIL: AI translation for scientists application workflow on satellite data
Zhuocheng Shang, Ahmed Eldawy
Domain scientists increasingly develop Python scripts to analyze satellite imagery but they lack scalability to large-scale data. This paper demonstrates GRAIL, an agentic translat…
Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture
Rutuja Gurav, Het Patel, Zhuocheng Shang +4
Climate change is increasingly disrupting worldwide agriculture, making global food production less reliable. To tackle the growing challenges in feeding the planet, cutting-edge m…
Object Delineation in Satellite Images
Zhuocheng Shang, Ahmed Eldawy
Machine learning is being widely applied to analyze satellite data with problems such as classification and feature detection. Unlike traditional image processing algorithms, geosp…