首页> 外文会议>第21届国际摄影测量与遥感大会(ISPRS 2008)论文集 >COMPARATIVE ANALYSIS OF SEVERAL TYPICAL APPROACHES OF DESERTIFICATION DYNAMIC MONITORING BASED ON TM DATE
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COMPARATIVE ANALYSIS OF SEVERAL TYPICAL APPROACHES OF DESERTIFICATION DYNAMIC MONITORING BASED ON TM DATE

机译:基于TM DATE的荒漠化动态监测几种典型方法的比较分析。

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Land desertification is one of the most important problems about the issue of environment, social and economy in the world. Vegetation category and quantity is a significant criterion to measure the extent of land desertification, so desertification dynamic monitoring based on remote sensing depend on the distribution of vegetation. This paper take Huojitu mining area of the Erdos city, Inner Mongolia for example, extracting vegetation information by using methods of Normalized Difference Vegetation Index、 scaled difference vegetation index and interpreting mixed pixels, based on three temporal Landsat remote sensing images. Meanwhile, relative analysis of these three methods has been made. The results showed that: Vegetation Indices behaved the best in the region of high coverage. However, Pixel Unmixing Models is better suitable for dynamic monitoring vegetation in low coverage area. The SDVI, which is a linear index, was found to be a more suitable approach for retrieval of vegetation fraction. Besides, this paper systematic analysis Time-space evolution tendency of desertification land in Western China, also puts forward some preventive and controlling measures against sandy desertification.
机译:土地荒漠化是世界环境,社会和经济问题中最重要的问题之一。植被的种类和数量是衡量土地荒漠化程度的重要标准,因此基于遥感的荒漠化动态监测取决于植被的分布。本文以内蒙古鄂尔多斯市霍吉图矿区为例,基于三个时空Landsat遥感影像,采用归一化植被指数,比例化植被指数和解释混合像元的方法提取植被信息。同时,对这三种方法进行了相关分析。结果表明:植被指数在高覆盖率地区表现最佳。但是,像素分解模型更适合于动态监测低覆盖区域的植被。 SDVI是一种线性指标,被发现是一种更合适的植被分数恢复方法。此外,本文系统分析了中国西部荒漠化土地的时空演变趋势,并提出了防治沙漠化的措施。

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