| 森林植被动态变化信息的遥感检测 |
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| 引用本文： | 杨存建,欧晓昆,党承林,张增祥.森林植被动态变化信息的遥感检测[J].地球信息科学,2000,2(4):71-74. |
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| 作者姓名： | 杨存建 欧晓昆 党承林 张增祥 |
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| 作者单位： | 1. 中国科学院遥感应用研究所, 北京,100101;
2. 云南大学地植物学与生态学研究所,昆明,650091 |
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| 摘 要： | 本文以云南省泸水县为例,探讨了利用遥感技术从LANDSAT TM图像中检测森林植被动态变化的方法。该方法,首先对1988年的LANDSAT TM图像进行几何校正,并将1999年的L ANDSAT TM图像与其配准。其次,分别从1988年和1999年的L ANDSAT TM图像中提取植被指数。然后,将1999年的植被指数减去1988年的植被指数,得到植被指数差值图像。最后,利用目视识别的方法,在植被指数差值图像上确定森林植被增加和减少的阈值,从而提取出森林植被的动态变化信息。由于云和雪的影响,造成一些伪变化的信息,为此,进一步将云和雪的信息提取出来,并将这部分伪变化信息掩模掉。该研究表明,此法可以简单有效地将森林植被的动态变化信息予以检测.
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| 关 键 词： | 遥感 森林植被 动态变化 |
Detecting the Change Information of Forest Vegetation in Lushui County of Yunnan Province |
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| Yang Cunjian,Ou Xiaokun Dang Chenglin Zhang Zengxiang.Detecting the Change Information of Forest Vegetation in Lushui County of Yunnan Province[J].Geo-information Science,2000,2(4):71-74. |
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| Authors: | Yang Cunjian Ou Xiaokun Dang Chenglin Zhang Zengxiang |
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| Institution: | 1. Institute of Remote Sensing Applications ,CAS,100101;
2. Institute of Ecology and Geobotany, Yunnan University, Kunming,650091 |
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| Abstract: | The approach of detecting forest vegetation changing formation was discussed here with the example of Lushui County of Yunnan Proince. It includes four steps. Firstly,the LANDSAT TM imagery acquired in 1988 was geometrically corrected, and the LANDSAT TM imagery acquired in 1999 was registrated to it. Secondly, NDVI imageries were produced respectively from the LANDSAT TM imageries. Thirdly, the different imagery of NDVI between 1999 and 1988 was formed. Finally, the thresholds of detecting forest vegetation changing information from the different imagery was decided by visual interpreting the false color composite imagery of 1999 and 1988. The forest vegetation changing information was extracted from the different imagery with the thresholds. The cloud and snow information were used to get rid of some false changing information from the forest vegetation changing information. It is shown that forest vegetation changing information can be detecting out by the approach. |
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| Keywords: | Remote sensing Forest vegetation Changing information |
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