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Application of JERS-1 SAR Data for Tropical Forest Cover Mapping

机译:JERS-1 SAR数据在热带森林覆盖图制图中的应用

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摘要

[ABSTRACT] Monitoring of tropical forest cover is important because it is changing in many parts of the world. Synthetic Aperture Radar (SAR) is a useful tool to delineate the forest, as it can penetrate cloud, which often hinders the use of optical remote sensing in the tropics. The study area is located in the tropical forest region of south-eastern Bangladesh. The research used Japanese Earth Resource Satellite 1 (JERS-1) Synthetic Aperture Radar (SAR) imageries of 1997. Landsat Enhanced Thematic Mapper Plus (ETM+) imagery of 1999 assisted the interpretation procedure. Filed verification was done in 1998-1999. SAR imageries were geo-coded using previously rectified Landsat ETM+ pan image. Speckle noises on the imageries were removed by Lee-Sigma Filter. Three SAR scenes (Path/row: 144/264, 144/265, 145/264) were mosaiced. Relative image-to-image radiometric normalization was used to reduce the anomaly due to the differences in brightness before making the mosaic. The use of both SAR-intensity and texture image could separate forest from agriculture, shrimp farms, water and bare soil. Field-verification and the use of ETM+ optical image could differentiate eight different forest types (primary and secondary forest, bamboo, shrubs, plantation with indigenous species, Teak, Rubber and Acacia) but the use of only JERS-1 SAR image this was not possible. Finally, forest cover map prepared for the study area.
机译:[摘要]监测热带森林覆盖率很重要,因为它在世界许多地方都在变化。合成孔径雷达(SAR)是划定森林轮廓的有用工具,因为它可以穿透云层,这通常会阻碍在热带地区使用光学遥感技术。研究区域位于孟加拉国东南部的热带森林地区。该研究使用了1997年的日本地球资源卫星1(JERS-1)合成孔径雷达(SAR)图像。1999年的Landsat增强型专题Mapper Plus(ETM +)图像辅助了解释程序。在1998-1999年进行了归档验证。 SAR图像使用先前校正的Landsat ETM +平移图像进行了地理编码。通过Lee-Sigma滤镜消除了图像上的斑点噪声。拼接了三个SAR场景(路径/行:144 / 264、144 / 265、145 / 264)。相对于图像的放射线归一化归一化用于减少由于制作马赛克之前亮度差异而引起的异常。 SAR强度和纹理图像的使用可使森林与农业,虾场,水和裸露的土壤分开。现场验证和使用ETM +光学图像可以区分八种不同的森林类型(原始和次生森林,竹子,灌木,人工林,柚木,橡胶和相思树),但仅使用JERS-1 SAR图像却不能可能。最后,为研究区域准备了森林覆盖图。

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