Robin S. Athawale, Dr. Nitin P. Patil, Prof Dr. Bharti W. Gawali

DOI: https://doi.org/10.5281/zenodo.22147060

A watershed is a geographical area with a well-defined boundary that collects and drains rainwater into a single outlet. Within its borders, a watershed includes a range of natural resources, including soil, water, and biomass. For the planning and management of land and water resources at watersheds area, watershed models supported by remote sensing data and a geographic information system (GIS) have proven to be essential research tools. Understanding how human and natural events interact and relate to one another is crucial. With reference to the evaluation of watershed management and land use land cover, remote sensing and geographic information, systems (GIS) can yield reliable data. In this review, paper shows the study of watershed development and land changes. A geographic information system is one that is made to collect, store, and process, evaluate, organize, and display any kind of geographic data. The aim of this research is to study issues related to watershed management and LULC. Morphometric analysis using RS and GIS has been very beneficial for the exploration and management of the watershed and it can handle hydrological problems, such as soil erosion, drought, and floods.

LULC, GEE, Landsat-8/9, Morphometric Analysis, DEM, Remote Sensing and GIS.

In today’s watershed management, remote sensing and GIS technologies are essential instruments that provide effective, economical, and accurate methods for data collection, analysis, and decision-making. Through the integration of multi-temporal satellite imagery, spatial analysis, and modeling, these technologies enable comprehensive assessment of watershed characteristics, land use/land cover changes, hydrological modeling, soil erosion risk, flood risk mapping and water resource distribution. The review highlights that RS and GIS not only support better understanding of watershed dynamics but also facilitate the planning and implementation of sustainable management strategies. As technological advancements continue, the incorporation of higher-resolution datasets, real-time monitoring, and machine learning will further enhance the effectiveness of watershed management practices. Over the past decades, the integration of RS and GIS has transformed traditional approaches by enabling precise spatial and temporal analysis of watershed parameters. The review reveals that RS and GIS significantly improve the accuracy of watershed delineation, resource inventory, and impact assessment, supporting data-driven decision making and sustainable resource planning.

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Robin S. Athawale, Dr. Nitin P. Patil, Prof Dr. Bharti W. Gawali (2026). A REVIEW ON: INTEGRATED WATERSHED MANAGEMENT USING REMOTE SENSING AND GIS. International Journal of Computer Science Engineering Techniques, 10(4), 119–138. ISSN: 2455-135X. DOI: https://doi.org/10.5281/zenodo.22147060