論文

査読有り
2013年10月7日

PALSAR 50 m Mosaic Data Based National Level Biomass Estimation in Cambodia for Implementation of REDD+ Mechanism

PLoS ONE
  • Ram Avtar
  • ,
  • Rikie Suzuki
  • ,
  • Wataru Takeuchi
  • ,
  • Haruo Sawada

8
10
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pone.0074807

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 (σo) properties of PALSAR data. The relationship between the PALSAR σo 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. © 2013 Avtar et al.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0074807
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/24116012
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84885086018&origin=inward 本文へのリンクあり
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84885086018&origin=inward
ID情報
  • DOI : 10.1371/journal.pone.0074807
  • ISSN : 1932-6203
  • eISSN : 1932-6203
  • PubMed ID : 24116012
  • SCOPUS ID : 84885086018

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