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东喜玛拉雅研究院团队新发表关于山火研究文章
日期:2018-08-02

英文:Davide Fornacca      翻译:刘硕然

   森林火灾是滇西北山区常见的自然灾害。然而,关于它们的历史事件及其对环境影响的基本信息是鲜为人知的。而山火监测面临一些特殊的问题,如地形复杂、夏季雨量充沛导致的快速植被恢复、云雾缭绕影响了卫星观测。为克服这些困难,东喜玛拉雅研究院(IEHBR)的研究人员正在开发一种山区火烧迹地斑块检测方法。研究的第一步是选择合适的光谱指数,以便在山火发生后13年更好地突出过火面积。团队研究结果显示,指示不同植被类型火烧发生的最佳指数是不一样的,但总的来说,近红外(NIR)和短波红外(SWIR)波段结合的指标,比如归一化火烧指数(NBR)和归一化水汽指数(NDMI)。这些发现对于下一步的研究非常重要:最优的光谱指数将被纳入到火烧迹地斑块检测方法中,以构建1985年到现在的滇西北山火数据库。这个山火历史地理数据库对对于研究滇西北的森林火情的影响和评估生态系统的脆弱性来说,这个山火历史地理数据库是必不可少的。

   该研究成果以题为中国滇西北山地多次火烧迹地斑块检测最佳光谱指数评估发表于《Remote Sensing》期刊。

DOI: 10.3390/rs10081196

http://www.mdpi.com/2072-4292/10/8/1196



Newly published article from the IEHBR team on fire research

Forest fires are a common disturbance in the mountains of northwest Yunnan. However, basic information about their historical occurrence and their impacts on the environment are poorly known. Researchers at IEHBR are developing a burn scar detection methodology capable of overcoming the particular problems of mountainous ecosystems, such as harsh topography, fast vegetation recovery due to abundant summer rains, frequent cloud coverage limiting satellite observations, and small and patchy landscapes with small fires. A first step involves the selection of suitable indices which better highlight burned area 1 to 3 years after the fires occur. Our results describe the differences in four major vegetation types of the region but in general confirm the best performance of indices that combine Near Infrared and Short-wave Infrared domains of the electromagnetic spectrum, such as the Normalized Burn Ratio (NBR) and the Normalized Difference Moisture Index (NDMI). These finding are very important for the next step of our research: the best spectral indices will be incorporated in the burned scar extraction methodology which will map forest fires in northwest Yunnan from 1985 to the present. The availability of this historical georeferenced fire inventory is a basic requirement to understand the impacts of forest fires in the region and assess present and future vulnerabilities of natural habitats and human property.
The research results have been published in MDPI special issue Mountain Remote sensing, with the title “
Evaluating the Best Spectral Indices for the Detection of Burn Scars at Several Post-Fire Dates in aMountainous Region of Northwest Yunnan, China”.

DOI: 10.3390/rs10081196

http://www.mdpi.com/2072-4292/10/8/1196