Mangrove Forest Cover Change in the Bangladesh Sundarbans from 1989-2000: A Remote Sensing Approach

Mangrove Forest Cover Change in the Bangladesh Sundarbans from 1989-2000: A Remote Sensing Approach
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1989-2000 年孟加拉国孙德尔本斯红树林覆盖变化:遥感方法

DOI:
10.1080/10106040608542368
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发表时间:
2006
影响因子:
3.8
通讯作者:
M. Peterson
M. Peterson
中科院分区:
地球科学4区
文献类型:
--
作者:
M. Emch;M. Peterson

文献摘要

被引文献

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摘要本文利用陆地卫星专题成像仪(Landsat Thematic Mapper)卫星图像,对孟加拉国西南部孙德尔本斯地区1989 - 2000年的红树林覆盖变化进行了定量分析。我们使用了三种图像处理技术:归一化植被指数(NDVI),最大似然分类,亚像素分类。我们比较了使用三种图像处理方法的变化检测结果。传统的分类器,如最大似然算法,并没有揭示这种混合水-森林环境的真实性质。NDVI和亚像素分类揭示了类似的空间分布的地区,从1989年到2000年被砍伐的森林。这些地区位于孟加拉国孙德尔本斯的东南角和西部边缘。
Abstract This paper quantifies mangrove forest cover change in the Sundarbans of southwest Bangladesh from 1989 to 2000 using Landsat Thematic Mapper satellite imagery. We used three image processing techniques: normalized differential vegetation index (NDVI), maximum likelihood classification, and subpixel classification. We compared change detection results using the three image processing methods. Traditional classifiers, such as maximum likelihood algorithms, do not reveal the true nature of this mixed water‐forest environment. Both NDVI and subpixel classification revealed similar spatial distributions of areas that were deforested from 1989 to 2000. These areas are in the southeastern comer and the western edge of the Bangladesh Sundarbans.