Multi-sensor approach integrating optical and multi-frequency synthetic aperture radar for carbon stock estimation over a tropical deciduous forest in India

Multi-sensor approach integrating optical and multi-frequency synthetic aperture radar for carbon stock estimation over a tropical deciduous forest in India

An optimal model was developed for accounting forest carbon stock from synergistic use of optical data from Landsat TM and synthetic aperture radar (SAR) data from COSMO-Skymed (X-band), Radarsat-2 (C-band) and ALOS PALSAR (L-band) sensors over a tropical deciduous heterogeneous forest of India. The...

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Bibliographic Details
Main Authors: Suman Sinha, Shiv Mohan, A. K. Das, L. K. Sharma, C. Jeganathan, A. Santra, S. Santra Mitra, M. S. Nathawat
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Carbon Management
Subjects:
alos palsar
radarsat-2
cosmo-skymed
landsat
forest biomass
Online Access:http://dx.doi.org/10.1080/17583004.2019.1686931

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