Abstract
Wetlands are critical ecosystems that regulate hydrological cycles, support biodiversity, and provide essential ecosystem services. However, rapid urbanization, agricultural expansion, and climatic variations have severely degraded their ecological integrity. This study explores the use of remote sensing-based limnological modelling as an effective approach for assessing and monitoring wetland health. By integrating spectral indices, GIS techniques, and limnological parameters, a predictive framework was developed to evaluate water quality, trophic state, and ecological stress in selected wetlands of Madhya Pradesh, India. Results indicate that Normalized Difference Water Index (NDWI), Turbidity Index (TI), and Chlorophyll-a estimations derived from Sentinel-2 and Landsat-8 imagery show a strong correlation (r > 0.85) with in-situ observations. The study demonstrates that satellite-based limnological models can provide continuous, cost-effective, and spatially comprehensive data for wetland conservation and management.
