Advanced Remote Sensing and GIS Integration for Sustainable Watershed Management and Conservation Planning

Abstract

Watershed conservation is crucial for water resources, ecological balance and agricultural productivity. Remote Sensing and Geographic Information System have revolutionized watershed assessment and planning by enabling efficient monitoring of terrain, land use, hydrology and soil properties. The application of Remote Sensing and Geographic Information System technologies is being utilized for watershed conservation using satellite-based datasets such as Landsat, Sentinel and Moderate Resolution Imaging Spectroradiometer to analyses land use and land cover dynamics, soil erosion, vegetation health and soil moisture. Techniques such as morphometric analysis, Revised Universal Soil Loss Equation modeling, Soil and Water Assessment Tool, Light Detection and Ranging, optical sensors and Digital Elevation Models enhance sub-watershed prioritization and erosion risk assessment; while integrating Light Detection and Ranging, optical sensors and Digital Elevation Models aid in delineating watershed boundaries and conducting topographic analysis. Recent advancements in artificial intelligence and machine learning are being used for real-time water quality prediction and conservation planning with Geographic Information System-based multi-criteria decision analysis aiding in identifying suitable zones for check dams and recharge pits. However, challenges remain related to data scalability, cloud interference and integration limitations. Despite these challenges, Remote Sensing and Geographic Information System tools offer immense potential for enhancing climate resilience, groundwater mapping and disaster risk reduction in watershed ecosystems. There is a growing need for integrated, data-driven and adaptive watershed management supported by modern geospatial technologies and approaches that combine science, policy and community involvement for long-term watershed sustainability.