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Vol. 9, Issue 10 (2020)

Estimation of forest biomass in Nainital district of Uttarakhand using remote sensing technique

Author(s):
Arun Kumar, Vir Singh, Rajeev Ranjan and Ajit Singh Nain
Abstract:
Satellite-based remote sensing approach was developed for estimating forest biomass and productivity in large area. Present study was conducted in the sub-tropical forest of Nainital district of Uttarakhand state. In the present study two LANDSAT-ETM+ images of different seasons viz., pre-monsoon and post monsoon seasons dated 27th May and 18th October 2012 were used. The LANDSAT-ETM+ images acquired were processed using ENVI-4.8 image processing software and for digitization of district boundary of Nainital district, Arc-View 3.2a software was used. Subset containing Nainital and the adjoining forest region of each image were extracted and NDVIs were generated. Linear statistical model was developed to calculate the BCD value of the sub-tropical forest of Nainital. The biomass Carbon density (BCD) for 27th May and 18th October 2012 are 93.16MgC/ha and 111.1527MgC/ha respectively.
Pages: 439-443  |  266 Views  61 Downloads


The Pharma Innovation Journal
How to cite this article:
Arun Kumar, Vir Singh, Rajeev Ranjan, Ajit Singh Nain. Estimation of forest biomass in Nainital district of Uttarakhand using remote sensing technique. Pharma Innovation 2020;9(10):439-443.

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