Implementation of forest cover and carbon mapping in the Greater Mekong subregion and Malaysia project _ A case study of Thailand

8th International Symposium of the Digital Earth

地球科学;计算机科学

Pungkul, S.^1 ; Suraswasdi, C.^1 ; Phonekeo, V.^2

Royal Forest Department, 61 Phaholyothin Road, Ladyao, Chatuchak, Bangkok 10900, Thailand^1

Geoinformatics Center, Asian Institute of Technology, 58 Moo 9, Phaholyothin Road Km 42, Khlong Luang, Pathumthani 12120, Thailand^2

关键词: Asia pacific networks;    Climate change mitigation;    Environmental and natural resources;    People's Republic of China;    Research institutions;    Satellite remote sensing;    Social and environmental;    Sustainable forest management;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012141/pdf
DOI  :  10.1088/1755-1315/18/1/012141

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The Great Mekong Subregion (GMS) contains one of the world's largest tropical forests and plays a vital role in sustainable development and provides a range of economic, social and environmental benefits, including essential ecosystem services such as climate change mitigation and adaptation. However, the forest in this Subregion is experiencing deforestation rates at high level due to human activities. The reduction of the forest area has negative influence to the environmental and natural resources issues, particularly, more severe disasters have occurred due to global warming and the release of the greenhouse gases. Therefore, in order to conduct forest management in the Subregion efficiently, the Forest Cover and Carbon Mapping in Greater Mekong Subregion and Malaysia project was initialized by the Asia-Pacific Network for Sustainable Forest Management and Rehabilitation (APFNet) with the collaboration of various research institutions including Institute of Forest Resource Information Technique (IFRIT), Chinese Academy of Forestry (CAF) and the countries in Sub region and Malaysia comprises of Cambodia, the People's Republic of China (Yunnan province and Guangxi province), Lao People's Democratic Republic, Malaysia, Myanmar, Thailand, and Viet Nam. The main target of the project is to apply the intensive use of recent satellite remote sensing technology, establishing regional forest cover maps, documenting forest change processes and estimating carbon storage in the GMS and Malaysia. In this paper, the authors present the implementation of the project in Thailand and demonstrate the result of forest cover mapping in the whole country in 2005 and 2010. The result of the project will contribute towards developing efficient tools to support decision makers to clearly understand the dynamic change of the forest cover which could benefit sustainable forest resource management in Thailand and the whole Subregion.