Integrating Remote Sensing and Land-Use Change to Identify Potential Wetland Restoration Areas: A Multiyear Analysis Using Landsat Data
摘要
Wetlands play a critical role in biodiversity conservation, climate regulation, and water purification, but human activities, including urbanization, agriculture, and industrialization, increasingly threaten them. This study aims to assess wetland loss and gain in Chhattisgarh between 2002 and 2023 using remote sensing technologies, specifically Landsat 5 TM, Landsat 8, and Sentinel-1 data. The objectives include mapping wetland dynamics over time and analyzing spatial and temporal changes in wetland areas to evaluate the effectiveness of restoration and management efforts. Using the Modified Normalized Difference Water Index (MNDWI), we mapped wetland areas and classified them into permanent and transient water bodies. The results show significant spatial heterogeneity across the region, with notable wetland gains in districts like Bilaspur (4.393 ha2), Dhamtari (5.571 ha), and Bastar (1.668 ha, 0.01668 km2), attributed to human interventions such as water conservation projects, improved irrigation infrastructure, and natural rejuvenation. However, areas like Dakshin Bastar Dantewada experienced minimal wetland gains (0.199 ha, 0.00199 km2) due to challenges such as mining and deforestation. These findings emphasize the varying effectiveness of local conservation strategies and the role of both natural and anthropogenic factors in wetland dynamics. The study highlights the importance of targeted wetland restoration and management practices, particularly in areas facing anthropogenic pressures. The results underscore the potential of remote sensing tools in monitoring wetland health and guiding future conservation efforts. The chapter explains a model that can be used for other regions in the Global South facing similar environmental challenges.