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Research Article Open access CC BY 4.0

Estimation and Study of Forest Loss and Gain Using Spatial Dataset across Districts of Uttarakhand

Sameer Khan, Sanjay Joshi, Ashok Kumar, Binay K. Pandey

Asian Journal of Research in Computer Science · pp. 38–51 · Published 2 Jul 2022

10.9734/ajrcos/2022/v14i130327

Abstract

Aims: To study and estimate the forest cover loss and gain across the 13 districts of Uttarakhand. Place and Duration of Study: Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, between September 2021 and December 2021. Methodology: We extracted forest cover time-series data from the year 2001 to the year 2020 from Hensen Global Forest Change Dataset. This data was then mapped to the shapefile created in ARC-GIS containing all 13 districts as a Feature Collection, which was then used to individually classify each region and to estimate the size of the loss of tree cover precisely over the district boundary. Results: Our study shows forest loss of about (21,05,71,646 square meters) and forest gain of (6,00,79,072 square meters) cumulatively in all the districts of Uttarakhand from the year 2001 to 2020 at a spatial resolution of 30 meters where trees were identified as canopies greater than 5 meters in height. Conclusion: Among the districts of Uttarakhand Udham Singh Nagar, Nainital, and Champawat alone contribute to the total tree cover loss area of 15061.7513801 ha. which is about 71.5 % of Uttarakhand’s total tree cover loss. These regions require monitoring and controlling deforestation and more detailed studies like this are required to analyze and prevent the causes of such great-scale deforestation. Analyzing districts apart from those mentioned above, it is observed that the amount of tree cover loss is greater than the reforestation.

Global forest watch masking shapefiles feature collection

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