Abstract Machine learning (ML) models are a leading analytical technique used to monitor,
map and quantify land use and land cover (LULC) and its change over time. Models such as …

The aim of this research was to assess the land use/land cover (LULC) changes and its
impact on land surface temperature (LST) using remote-sensing (RS) technique in the …

Rapidly increasing populations coupled with increased food demand requires either an
expansion of agricultural land or sufficient production gains from current resources …

Land cover information is essential in European Union spatial management, particularly that
of invasive species, natural habitats, urbanization, and deforestation; therefore, the need for …

Reduction of natural vegetation cover in the savannah of West Africa constitutes a pressing
environmental concern that may lead to soil degradation. With the aim to assess the …

Sahelian landscapes have gone through rapid changes over the past decades under high
pressure from an ever-growing population, climate hazards and land degradation …

Environmental Impact Assessment (EIA) is a superior tool use for assessing environmental
changes in the opencast limestone mining region. In mining and its development, there is …

In Africa, protected areas can play an important role in mitigating the effects of climate
change through carbon sequestration but they are threatened due to increasing land …

This study assesses the changes in land use/land cover (LULC) and land surface
temperature (LST) to identify their impacts from 2000 to 2020 along the coast of …

This study investigates the impacts of land use change on water resources in the Dano
catchment, Burkina Faso, using a physically based hydrological simulation model and land …