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The Black Volta
Basin, a critical hydrological region, is experiencing rapid changes in Land
Use and Land Cover (LULC) patterns due to diverse anthropogenic and
environmental factors. This study employs a comprehensive Multi-Sensor Remote
Sensing and Geographic Information System (GIS) methodology to assess and
analyze the spatiotemporal dynamics of LULC in the basin. Utilizing data from
multiple remote sensing platforms, including optical and radar sensors, as well
as historical GIS datasets, a detailed LULC classification is performed. The
integration of multi-temporal satellite imagery enables the detection and
quantification of changes across distinct land cover categories. Through
rigorous spatial analysis and statistical techniques, the study reveals the
extent and magnitude of LULC transformations over a defined period. Land cover
transitions are identified, characterized, and linked to potential drivers such
as urbanization, agricultural expansion, and natural processes. The outcomes of
this research contribute to an enhanced understanding of the evolving LULC
dynamics in the Black Volta Basin, shedding light on both natural and
human-induced changes. The results underscore the significance of a
multi-sensor approach in accurately capturing complex LULC changes and their
implications for regional sustainability and resource management. This study's
insights serve as valuable inputs for policymakers, researchers, and
stakeholders engaged in land-use planning, environmental conservation, and
sustainable development within the Black Volta Basin and similar ecologically
sensitive areas.