Detecting land cover change through very-high-resolution (VHR) remote sensing images is
helpful in supporting urban sustainable development, natural disaster evaluation, and …

This work evaluates the performance of three machine learning (ML) techniques, namely
logistic regression (LGR), linear regression (LR), and support vector machines (SVM), and …

With global changes such as climate change and urbanization, land cover is prone to
changing rapidly in cities around the globe. Urban management and planning is challenged …

Understanding the changes in a land use/land cover (LULC) is important for environmental
assessment and land management. However, tracking the dynamic of LULC has proved …

Analysis of land surface temperature (LST) spatiotemporal variations and characterization of
the factors affecting these variations are of great importance in various environmental …

Timely information about landslides during or immediately after an event is an invaluable
source for emergency response and management. Using an active sensor, synthetic …

Natural hazards include a wide range of high-impact phenomena that affect socioeconomic
and natural systems. Landslides are a natural hazard whose destructive power has caused …

The explosive rate of population growth demands a revision of existing protective measures
to address water scarcity that urges water body monitoring models to be developed using …

Monitoring multifunctional agricultural areas is paramount to ensure their cost-effective
management. The remote sensing-based detection of land-cover/land-use (LCLU) changes …

Résumé Cet article concerne la plaine de Saïss au Maroc et porte sur l'évolution de
l'occupation et de l'utilisation des sols pour la période allant de 1987 à 2018. Cette plaine s' …