As an important application in remote sensing, landcover classification remains one of the
most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are being used more and
more to handle complex tasks in many different areas. As a result, interconnected …

High spatial resolution commercial satellite data provide new opportunities for terrestrial
monitoring. The recent availability of near-daily 3 m observations provided by the …

Monitoring and managing Earth's surface resources is critical to human settlements,
encompassing essential tasks such as city planning, disaster assessment, etc. To accurately …

Early drought stress detection is crucial for restoring productivity, ensuring recovery, and
providing vital information for mortality prevention. Hyperspectral remote sensing which is …