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Tropical PeatLand Forest Biomass Estimation Using Polarimetric Parameters Extracted from RadarSAT-2 Images

Author

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  • Mirza Muhammad Waqar

    (Center for Environmental Remote Sensing (CEReS), Chiba University, 1-33 Yayoi, Inage, Chiba 263-8522, Japan)

  • Rahmi Sukmawati

    (Faculty of Mathematics and Natural Sciences, Padang State University, Jalan, Air Tawar Padang, Sumatera Barat 25111, Indonesia)

  • Yaqi Ji

    (Center for Environmental Remote Sensing (CEReS), Chiba University, 1-33 Yayoi, Inage, Chiba 263-8522, Japan)

  • Josaphat Tetuko Sri Sumantyo

    (Center for Environmental Remote Sensing (CEReS), Chiba University, 1-33 Yayoi, Inage, Chiba 263-8522, Japan)

Abstract

This paper was aimed at estimating the forest aboveground biomass (AGB) in the Central Kalimantan tropical peatland forest, Indonesia, using polarimetric parameters extracted from RadarSAT-2 images. Six consecutive acquisitions of RadarSAT-2 full polarimetric data were acquired and polarimetric parameters were extracted. The backscattering coefficient ( σ o ) for HH, HV, VH, and VV channels was computed respectively. Entropy (H) and alpha ( α ) were computed using eign decomposition. In order to understand the scattering behavior, Yamaguchi decomposition was performed to estimate surface scattering ( γ s u r f ) and volume scattering ( γ v o l ) components. Similarly following polarimetric indices were computed; Biomass Index (BMI), Canopy Structure Index (CSI), Volume Scattering Index (VSI), Radar Vegetation Index (RVI) and Pedestal Height ( p h ). The PolSAR parameters were evaluated in terms of their temporal consistency, inter-dependence, and suitability for forest aboveground biomass estimation across rainy and dry conditions. Regression analysis was performed between referenced biomass measurements and polarimetric parameters; VSI, H, RVI, p h , and γ v o l were found significantly correlated with AGB. Biomass estimation was carried out using significant models. Resultant models were validated using field-based AGB measurements. Validation results show a significant correlation between measured and referenced biomass measurements with temporal consistency over the acquisition time period.

Suggested Citation

  • Mirza Muhammad Waqar & Rahmi Sukmawati & Yaqi Ji & Josaphat Tetuko Sri Sumantyo, 2020. "Tropical PeatLand Forest Biomass Estimation Using Polarimetric Parameters Extracted from RadarSAT-2 Images," Land, MDPI, vol. 9(6), pages 1-16, June.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:6:p:193-:d:369703
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    References listed on IDEAS

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    1. Sassan Saatchi & Lars Ulander & Mathew Williams & Shaun Quegan & Thuy LeToan & Herman Shugart & Jerome Chave, 2012. "Forest biomass and the science of inventory from space," Nature Climate Change, Nature, vol. 2(12), pages 826-827, December.
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