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Change Detection of Forest Vegetation using Remote Sensing and GIS Techniques in Kalakkad Mundanthurai Tiger Reserve - (A Case Study)

Affiliations

  • Center for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham Amrita University, Coimbatore - 641112, Tamil Nadu, India

Abstract


Background/Objectives: Advancements in the field of remote sensing techniques and sensors used have made monitoring of forest resources an easier task. Forests are ecosystems that provide habitat and fodder for wild animals, timber and help maintain the global temperature balance. They face threats both by nature and mankind. So therein comes the need to monitor vegetation from time to time, for preserving the ecosystem. Methods/Statistical Analysis: The Kalakkad Mundanthurai Tiger Reserve (KMTR) area is posed to such threats leading to change in forest cover and type. Multi-temporal Landsat imageries were used to study the area. A change detection analysis was carried out to determine the disruptions in forest cover from 2005 to 2015. Findings: Overlaying the classified multi-temporal images indicated significant changes in forest cover. Statistical analysis shows the approximate amount of vegetation affected and afforested over the time period. Applications/Improvements: The findings can be included for the vegetation monitoring and conservation activities carried out by NGOs and governmental organizations.

Keywords

Change Detection, Forest, GIS, Kalakkad, Mundanthurai, NDVI, Remote Sensing, Vegetation.

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