PALSAR 50m mosaic based national level biomass estimation for REDD+ policies implementation

Avtar, Ram, Suzuki, Ryoko, Takeuchi, Wataru and Sawada, Haruo, (2013). PALSAR 50m mosaic based national level biomass estimation for REDD+ policies implementation. PLOSone 8, 10 1-11

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    Author Avtar, Ram
    Suzuki, Ryoko
    Takeuchi, Wataru
    Sawada, Haruo
    Title PALSAR 50m mosaic based national level biomass estimation for REDD+ policies implementation
    Appearing in PLOSone 8
    Volume 10
    Publication Date 2013
    Place of Publication Japan
    Publisher n/a
    Start page 1
    End page 11
    Abstract Tropical countries like Cambodia require information about forest biomass for successful implementation of climate change mitigation mechanism related to Reducing Emissions from Deforestation and forest Degradation (REDD+). This study investigated the potential of Phased Array-type L-band Synthetic Aperture Radar Fine Beam Dual (PALSAR FBD) 50 m mosaic data to estimate Above Ground Biomass (AGB) in Cambodia. AGB was estimated using a bottom-up approach based on field measured biomass and backscattering properties of PALSAR data. The relationship between the PALSAR so HV and HH/HV with field measured biomass was strong with R2 = 0.67 and 0.56, respectively. PALSAR estimated AGB show good results in deciduous forests because of less saturation as compared to dense evergreen forests. The validation results showed a high coefficient of determination R2 = 0.61 with RMSE = 21 Mg/ha using values up to 200 Mg/ha biomass. There were some uncertainties because of the uncertainty in the field-based measurement and saturation of PALSAR data. AGB map of Cambodian forests could be useful for the implementation of forest management practices for REDD+ assessment and policies implementation at the national level.
    Copyright Holder Avtar
    Copyright Year 2013
    Copyright type All rights reserved
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    Created: Mon, 14 Apr 2014, 17:13:37 JST