Role of Remote Sensing and GIS Applications in River-Related Studies: A Review

This study delves into the application of remote sensing and GIS in river-related research. Its primary aims are twofold: firstly, to identify the diverse disciplines within river-related studies employing remote sensing and GIS, and secondly, to scrutinize the methodologies employed in these studies. A total of sixty-nine research papers, delineating twelve distinct disciplines within remote sensing and GIS related to river studies were reviewed and identified, respectively. The predominant remote sensing data utilized includes Landsat imagery, digital elevation models, and Sentinel data. Extracted information encompasses land use and land cover, vegetation indices, river dimensions, sinuosity, drainage networks, morphometric parameters, slope, flow accumulation, elevation differentials, and topographic features. All remote sensing data extraction processes are conducted within the GIS framework. Additionally, the studies address the limitations associated with remote sensing data in this context. Furthermore, this comprehensive overview of the current landscape of river-related research utilizing remote sensing and GIS, providing researchers with a clear understanding of the existing body of knowledge.