Carbon Stock Assessment Using Remote Sensing and Forest Inventory Data in Savannakhet, Lao PDR

Phutchard Vicharnakorn,R. Shrestha,M. Nagai,Abdul Salam,S. Kiratiprayoon

Published 2014 in Remote Sensing

ABSTRACT

Abstract: Savannakhet Province, Lao People’s Democratic Republic (PDR), is a small area that is connected to Thailand, other areas of Lao PDR, and Vietnam via road No. 9. This province has been increasingly affected by carbon dioxide (CO 2 ) emitted from the transport corridors that have been developed across the region. To determine the effect of the CO 2 increases caused by deforestation and emissions, the total above-ground biomass (AGB) and carbon stocks for different land-cover types were assessed. This study estimated the AGB and carbon stocks (t/ha) of vegetation and soil using standard sampling techniques and allometric equations. Overall, 81 plots, each measuring 1600 m 2 , were established to represent samples from dry evergreen forest (DEF), mixed deciduous forest (MDF), dry dipterocarp forest (DDF), disturbed forest (DF), and paddy fields (PFi). In each plot, the diameter at breast height (DBH) and height (H) of the overstory trees were measured. Soil samples (composite

PUBLICATION RECORD

  • Publication year

    2014

  • Venue

    Remote Sensing

  • Publication date

    2014-06-12

  • Fields of study

    Computer Science, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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