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Carbon stock assessment using remote sensing and forest inventory data in Savannakhet, Lao PDR

បោះពុម្ពផ្សាយដោយ៖ Open Development Laos

Savannakhet Province, Lao Peoples 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 (CO2) emitted from the transport corridors that have been developed across the region. To determine the effect of the CO2 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.

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Carbon stock assessment using remote sensing and forest inventory data in Savannakhet, Lao PDR
 

មើល​ធនធានទិន្នន័យ - Carbon stock assessment using remote sensing and forest inventory data in Savannakhet, Lao PDR

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Field Value
ប្រភេទឯកសារ Reports, journal articles, and research papers (including theses and dissertations)
ភាសារបស់ឯកសារ
  • ភាសាអង់គ្លេស
ប្រធានបទ
  • Forest protection
  • Forests and forestry
តំបន់ភូមិសាស្រ្ត (ការលាតសន្ធឹងក្នុងលំហ)
  • ឡាវ
សិទ្ធិ Yes
កំណែ/បោះពុម្ពលើកទី 1
អាជ្ញាប័ណ្ណ Creative Commons Attribution
ទំនាក់ទំនង

Natural Resources Management, School of Environment, Resources, and Development, Asian Institute of Technology, P.O. Box 4, Klong Luang 12120, Thailand; Remote Sensing and GIS, School of Engineering and Technology, Asian Institute of Technology, P.O. Box 4, Klong Luang 12120, Thailand; Energy, School of Environment, Resources, and Development, Asian Institute of Technology, P.O. Box 4, Klong Luang 12120, Thailand; School of Science and Technology, Thammasat University, 99 Paholyothin Rd., Klong Luang 12120, Thailand
សហអ្នកនិពន្ធ (បុគ្គល) Vicharnakorn, Phutchard, Rajendra P. Shrestha, Masahiko Nagai, Abdul P. Salam, and Somboon Kiratiprayoon
លេខសំគាល់ស្តង់ដាអន្តរជាតិ ISSN ISSN2072-4292
អ្នកបោះពុម្ពផ្សាយ Remote Sensing Journal
កាលបរិច្ឆេទបោះពុម្ព 2014
ការបង់លេខ 28
កំណត់សំគាល់ទូទៅង

www.mdpi.com/journal/remotesensing
កាលបរិច្ឆេទផ្ទុកឡើង កញ្ញា 30, 2018, 02:15 (UTC)
កាលបរិច្ឆេទកែប្រែ ធ្នូ 20, 2019, 04:40 (UTC)