Using satellite observations to evaluate forest recovery following a wildfire could be an innovative, cost-efficient way to ...

Deep learning-based high-resolution remote sensing for farmland extraction is a crucial method for obtaining large-scale farmland information. However, variations in crop types, growth conditions, and ...

Invisible to the untrained eye, DFOS technology turns standard fiber optic cables into long-range, high-resolution sensing ...

Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning, and disaster assessment. Existing Transformer-based ...

A wide range of AI models, including traditional machine learning techniques and deep learning frameworks like YOLO, CNNs, ...

Analysis of the photos shows that as North Korea boosts its nuclear weapon production, production at the Pyongsan refinery ...

Terahertz radiation (THz), electromagnetic radiation with frequencies ranging between 0.1 and 10 THz, could be leveraged to ...

Over 400 archival items illuminating China's journey to become a global force in airborne remote sensing are going on public ...

Further, the capability of the FireSat to track gas flares, urban hot spots, and natural heat sources makes FireSat useful ...