Mountain environments feature steep terrain, variable climates, and diverse ecosystems, making traditional data collection ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has developed a novel method to generate highly detailed three-dimensional (3D) city models ...

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

Oceans are facing a multitude of climate-induced stresses including acidification, sea-level rise, warming waters, and ice ...

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, ...

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