Investigation of subsidence situations is important for the design of railway lines. Traditional
geological investigations are expensive. Multi-temporal InSAR (MT-InSAR) analysis has …

Multi-source remote sensing-derived information on crops contributes significantly to
agricultural monitoring, assessment, and management. In Africa, some challenges (ie, small …

Cloud cover remains a significant limitation to a broad range of applications relying on
optical remote sensing imagery, including crop identification/yield prediction, climate …

Precision agriculture management with remote sensing big data provides a promising
solution to monitor crops. Alfalfa is an important forage crop for various livestock around the …

Eurasian Curlew populations are declining in Europe despite conservation efforts. Mowing
practices may attract Curlews to areas with a higher chance of survival, but this potential …

This paper uses a novel method for evaluating land degradation in mountain-protected
reserve areas based on remotely-sensed data. A risk map is developed based on this …

There are several image inverse tasks, such as inpainting or super-resolution, which can be
solved using deep internal learning, a paradigm that involves employing deep neural …

Cloud cover remains a significant limitation to a broad range of applications relying on
optical remote sensing imagery, including crop identification/yield prediction, climate …

Floods can cause significant damage to human lives and property, necessitating precise
post-flood evaluations for rescue efforts. Methods: It explores flood location AI techniques …