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Article

Rapid Evaluation and Validation Method of Above Ground Forest Biomass Estimation Using Optical Remote Sensing in Tundi Reserved Forest Area, India

1
Department of Remote Sensing, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835 215, India
2
Division of Geosciences and Environmental Engineering, Department of Civil, Environmental and Natural Resources Engineering, Luleå University of Technology, Luleå, 971 87 Norrbotten County, Sweden
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2021, 10(1), 29; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010029
Received: 23 November 2020 / Revised: 27 December 2020 / Accepted: 11 January 2021 / Published: 13 January 2021
(This article belongs to the Special Issue The Use of Geo-Spatial Tools in Forestry)
Optical remote sensing data are freely available on a global scale. However, the satellite image processing and analysis for quick, accurate, and precise forest above ground biomass (AGB) evaluation are still challenging and difficult. This paper is aimed to develop a novel method for precise, accurate, and quick evaluation of the forest AGB from optical remote sensing data. Typically, the ground forest AGB was calculated using an empirical model from ground data for biophysical parameters such as tree density, height, and diameter at breast height (DBH) collected from the field at different elevation strata. The ground fraction of vegetation cover (FVC) in each ground sample location was calculated. Then, the fraction of vegetation cover (FVC) from optical remote sensing imagery was calculated. In the first stage of method implementation, the relation model between the ground FVC and ground forest AGB was developed. In the second stage, the relational model was established between image FVC and ground FVC. Finally, both models were fused to derive the relational model between image FVC and forest AGB. The validation of the developed method was demonstrated utilizing Sentinel-2 imagery as test data and the Tundi reserved forest area located in the Dhanbad district of Jharkhand state in eastern India was used as the test site. The result from the developed model was ground validated and also compared with the result from a previously developed crown projected area (CPA)-based forest AGB estimation approach. The results from the developed approach demonstrated superior capabilities in precision compared to the CPA-based method. The average forest AGB estimation of the test site obtained by this approach revealed 463 tons per hectare, which matches the previous estimate from this test site. View Full-Text
Keywords: Sentinel-2; regression modeling; fraction of vegetation cover; forest AGB Sentinel-2; regression modeling; fraction of vegetation cover; forest AGB
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MDPI and ACS Style

Kumar, P.; Krishna, A.P.; Rasmussen, T.M.; Pal, M.K. Rapid Evaluation and Validation Method of Above Ground Forest Biomass Estimation Using Optical Remote Sensing in Tundi Reserved Forest Area, India. ISPRS Int. J. Geo-Inf. 2021, 10, 29. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010029

AMA Style

Kumar P, Krishna AP, Rasmussen TM, Pal MK. Rapid Evaluation and Validation Method of Above Ground Forest Biomass Estimation Using Optical Remote Sensing in Tundi Reserved Forest Area, India. ISPRS International Journal of Geo-Information. 2021; 10(1):29. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010029

Chicago/Turabian Style

Kumar, Praveen, Akhouri P. Krishna, Thorkild M. Rasmussen, and Mahendra K. Pal 2021. "Rapid Evaluation and Validation Method of Above Ground Forest Biomass Estimation Using Optical Remote Sensing in Tundi Reserved Forest Area, India" ISPRS International Journal of Geo-Information 10, no. 1: 29. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010029

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