Temporal analysis and change detection of deforestation in Madre de Dios, Peru using SAR data

Student name: Mr Shailesh Kumar Jha
Guide: Dr Chandrashekhar Azad Vishwakarma
Year of completion: 2023
Host Organisation: The Energy and Resources Institute (TERI), New Delhi
Supervisor (Host Organisation): Mr Sayanta Gosh

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Abstract:

This thesis presents a comprehensive temporal analysis and change detection of deforestation in Madre de Dios, Peru, using Synthetic Aperture Radar (SAR) data. Madre de Dios, located in the Amazon Basin, has experienced significant deforestation due to illegal logging, gold mining, and agricultural activities. The objective of this study is to analyze the temporal patterns of deforestation, identify hotspots, assess the rate of forest loss, and explore the drivers of deforestation in the region. SAR data provides a reliable means to monitor land cover changes, particularly in areas prone to cloud cover and dense vegetation. The results of this analysis contribute to a deeper understanding of deforestation dynamics in Madre de Dios and provide valuable insights for policymakers, conservation organizations, and local communities to develop effective conservation strategies and sustainable land management practices. The findings highlight the urgent need to mitigate deforestation, protect biodiversity, and promote sustainable development in the region.

Keywords: Deforestation, Temporal Analysis, Change Detection, Madre de Dios, Synthetic Aperture Radar (SAR) data.