3 papers
cs.CV2026
Agricultural Landscape Understanding At Country-Scale
Radhika Dua, Aditi Agarwal, Aishwarya Jayagopal +12
Comprehensive agricultural landscape understanding is critical for addressing global challenges in food security, climate change, and resource management. This requires mapping not…
cs.CV2026
Global monitoring of methane point sources using deep learning on hyperspectral radiance measurements from EMIT
Vishal V. Batchu, Michelangelo Conserva, Alex Wilson +5
Anthropogenic methane (CH4) point sources are critical drivers of near-term climate forcing, safety hazards, and system-inefficiencies. Space-based imaging spectroscopy is an emerg…
cs.CV2025
Mapping Farmed Landscapes from Remote Sensing
Michelangelo Conserva, Alex Wilson, Charlotte Stanton +2
Effective management of agricultural landscapes is critical for meeting global biodiversity targets, but efforts are hampered by the absence of detailed, large-scale ecological map…