Above-ground biomass and carbon estimates of Shorea robusta and Tectona grandis forests using QuadPOL ALOS PALSAR data

Above-ground biomass and carbon estimates of Shorea robusta and Tectona grandis forests using QuadPOL ALOS PALSAR data

Mechanisms to mitigate climate change in tropical countries such as India require information on forest structural components i.e., biomass and carbon for conservation steps to be implemented successfully. The present study focuses on investigating the potential use of a one time, QuadPOL ALOS PALSA...

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Veröffentlicht in:Advances in space research 2016-01, Vol.57 (2), p.552-561
Hauptverfasser: Behera, M.D., Tripathi, P., Mishra, B., Kumar, Shashi, Chitale, V.S., Behera, Soumit K.
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Sprache:eng
Schlagworte:
ALOS (satellite)
Backscatter co-efficient
Biomass
Carbon
Coefficients
Correlation analysis
Estimates
Forests
India
Microwave remote sensing
Multi-polarization
Terai
Water cloud model
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container_end_page 561
container_issue 2
container_start_page 552
container_title Advances in space research
container_volume 57
creator Behera, M.D.
Tripathi, P.
Mishra, B.
Kumar, Shashi
Chitale, V.S.
Behera, Soumit K.
description Mechanisms to mitigate climate change in tropical countries such as India require information on forest structural components i.e., biomass and carbon for conservation steps to be implemented successfully. The present study focuses on investigating the potential use of a one time, QuadPOL ALOS PALSAR L-band 25m data to estimate above-ground biomass (AGB) using a water cloud model (WCM) in a wildlife sanctuary in India. A significant correlation was obtained between the SAR-derived backscatter coefficient (σ°) and the field measured AGB, with the maximum coefficient of determination for cross-polarized (HV) σ° for Shorea robusta, and the weakest correlation was observed with co-polarized (HH) σ° for Tectona grandis forests. The biomass of S. robusta and that of T. grandis were estimated on the basis of field-measured data at 444.7±170.4Mg/ha and 451±179.4Mg/ha respectively. The mean biomass values estimated using the WCM varied between 562 and 660Mg/ha for S. robusta; between 590 and 710Mg/ha for T. grandis using various polarized data. Our results highlighted the efficacy of one time, fully polarized PALSAR data for biomass and carbon estimate in a dense forest.
doi_str_mv 10.1016/j.asr.2015.11.010
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subjects ALOS (satellite)
Backscatter co-efficient
Biomass
Carbon
Coefficients
Correlation analysis
Estimates
Forests
India
Microwave remote sensing
Multi-polarization
Terai
Water cloud model
title Above-ground biomass and carbon estimates of Shorea robusta and Tectona grandis forests using QuadPOL ALOS PALSAR data
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