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THAILAND FOREST COVER AND BIOMASS ESTIMATION MAPPING UNDER THE APFNET GREATER MEKONG SUB-REGION AND MALAYSIA PROJECT

机译:泰国森林覆盖和生物量估计在APFNET Meverkong子区域和马来西亚项目下的估图

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The Great Mekong Sub-region (GMS) containing one of the world's largest tropical forests which play a vital role in sustainable development and provide a range of economic, social and environmental benefits, including essential ecosystem services such as climate change mitigation and adaptation. However, the forest in this Sub-region 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, in particularly, more and severe disasters have been occurred due to global warming, the release of the greenhouse gases. Therefore, in order to conduct forest management in the Sub-region efficiently, the Forest Cover and Carbon Mapping in Greater Mekong Sub-region 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 as one of the participated countries in the project using satellite imagery, mainly from Landsat TM 5 and data products from the Geoscience Laser Altimeter System (GLAS) instrument onboard of the NASA Ice, Cloud, and land Elevation (ICESat) satellite with field survey data in forest area over the country. First, the test sites for forest cover mapping were selected in Trad, Lampang and Ubon Rachathani provinces. Then the forest cover maps for 2010 and 2005 were generated according to the main target of the project. For above ground biomass mapping, the data collection were conducted as field plot measurement following the GLAS footprints, which will be applied to biomass estimation. The result of the project will be contributed as efficient tools to support decision makers to clearly understand the dynamic change of the forest cover which could benefit sustainable forest resources management in Thailand and the whole Sub-region.
机译:伟大的湄公河次区域(GMS)包含世界上最大的热带森林之一,在可持续发展中发挥着至关重要的作用,并提供了一系列经济,社会和环境效益,包括基本的生态系统服务,如气候变化缓解和适应。然而,由于人类活动,该子区域的森林正在经历高水平的森林砍伐率。森林地区的减少对环境和自然资源问题产生负面影响,特别是由于全球变暖,温室气体释放,发生了越来越严重的灾害。因此,为了有效地在次区域进行森林管理,亚太地区和马来西亚项目中的森林覆盖和碳映射被亚太网络初始化了可持续森林管理和康复(APFNET)的合作各种研究机构,包括森林资源信息技术研究所(IFRIT),中国林业学院(CAF)和子地区和马来西亚国家的国家包括柬埔寨,中华人民共和国(云南省和广西),老挝人民民主共和国,马来西亚,缅甸,泰国和越南。该项目的主要目标是应用最近的卫星遥感技术的密集使用,建立区域森林覆盖地图,记录森林改变过程和估算GMS和马来西亚的碳储存。在本文中,提交人展示了泰国项目的实施,作为使用卫星图像的项目中的参与国之一,主要来自Landsat TM 5和来自NASA冰上板上的地球科学激光高度计系统(GLAS)仪器的数据产品,云和陆地海拔(ICESAT)卫星与森林地区的现场调查数据。首先,在TRAM,Lampang和Uber Rachathani省份中选择了森林覆盖映射的测试站点。然后根据项目的主要目标产生2010年和2005年的森林覆盖图。对于上述地面生物质映射,数据收集是在GLAS占地面积之后作为场绘图测量进行,其将应用于生物量估计。该项目的结果将作为高效的工具,以支持决策者清楚地了解森林覆盖的动态变化,这些涵盖可能会使泰国和整个子区域有利于可持续的森林资源管理。

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