Assessing Forest Degradation in Nainital Region using SAR Imagery

Forest degradation is a critical environmental issue that affects biodiversity, climate regulation, and ecosystem services. The Nainital region, located in the Indian Himalayas, has experienced significant forest cover changes due to anthropogenic activities and natural processes. This study aims to monitor the spatial and temporal patterns of forest degradation in the Nainital region using Synthetic Aperture Radar (SAR) data. SAR data, with its ability to penetrate cloud cover and provide consistent observations, is particularly useful in mountainous and densely vegetated regions like Nainital. By utilizing time-series SAR imagery, we can detect subtle changes in forest structure and biomass over time. The study employs advanced SAR processing techniques, including speckle filtering, polarimetric decomposition, and time-series analysis, to enhance the accuracy of forest degradation mapping. Key objectives of this research include identifying areas of significant forest degradation since 2017 and analysing the spatial distribution of degradation. Preliminary results indicate that SAR data effectively captures the extent and progression of forest degradation in the Nainital region. The temporal analysis reveals distinct patterns of degradation corresponding to seasonal and annual climatic variations. The spatial analysis highlights regions where conservation efforts need to be intensified. This study demonstrates the potential of SAR data in providing critical insights into forest degradation dynamics, contributing to better forest management and conservation strategies. Future work will focus on integrating SAR data with other remote sensing datasets and incorporating machine learning techniques to improve detection accuracy and scalability.