Land surface temperature (LST) is a critical parameter for understanding Earth's energy balance and monitoring climate change ...

A new high-resolution flood dataset, FloodPlanet, is enhancing satellite-based flood monitoring through more accurate training of deep learning ...

Sean Hogan is the founder and Director of the IGIS Drone Service Center. He has extensive experience in a wide range of UAS drone mapping and data collection projects, and is an expert on several ...

“Human eyes can’t always pick up subtle changes in canopy greenness or stress levels, but the technology we use can.

Traditional geotechnical monitoring methods often face limitations in terms of accuracy, real-time performance, and comprehensiveness. The emergence of ...

GIS enables spatial mapping of climate vulnerability, helping policymakers and researchers visualize hazard zones and plan targeted interventions. It supports complex simulations of land-use change ...

This review covers recent advances in artificial intelligence (AI) for aquatic species identification and conservation, ...

The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.

Flood-DamageSense: Multimodal Mamba with Multitask Learning for Building Flood Damage Assessment using SAR Remote Sensing Imagery - violayhho/Flood-DamageSense ...

Improving Tropical Forest Canopy Height Estimates Using Sentinel-1 Radar Backscatter A Machine Learning Approach. Remote Sensing of Environment, 301, Article ID 112345.