Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

Hybrid-polarimetric radar promises a wider view of Earth with less data burden, but scientists have long needed real ...

Trees shape climate, biodiversity, rural livelihoods, and the global bioeconomy, yet many remain invisible to today’s large-scale monitoring systems. Most satellite products describe forests as broad ...

Abstract: High-resolution (HR) remote sensing image change detection aims to identify surface changes; however, complex scenes and irregular object edges pose significant challenges to achieving ...

Abstract: Bitemporal remote sensing (RS) semantic change detection (SCD) involves discerning and categorizing changes in the same geographical area across two RS images taken at different times.

Studying the scale and intensity of previous fires can help us to detect thermal hotspots earlier and support faster, smarter crisis response and post-fire restoration.

A satellite carrying a nuclear weapon would not just menace rival spacecraft. It could scramble parts of modern life on Earth ...

Intermap Technologies, a global leader in geospatial intelligence powered by proprietary 3D data and AI-driven analytics, today announced the launch of its AI-enabled Orthorectification Service on the ...

From automotive to critical infrastructure, cross-sector technology transfer is reshaping sovereign security. The challenge ...

The China-backed launches mark a significant expansion of Pakistan's Earth-observation capabilities at a time when space-based surveillance is becoming increasingly important for national security and ...