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Applicability of satellite remote sensing for mapping hazardous state of land degradation by soil erosion on agricultural areas

机译:土壤侵蚀土地侵蚀土地侵蚀卫星遥感卫星遥感的适用性

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This paper introduces two case studies of mapping hazardous state of land degradation appeared widely in Southeast Asian countries. One was a case for Keduang watershed in the upper stream of Wonogiri River in Central Java, Indonesia. The author developed a method to obtain 2.5 meters resolution landuse data by combination of Landsat/TM/ETM+ and ALOS/PRISM/AVNIR2 pan-sharpened data, which showed overall accuracy of 74.4% and 0.660 of kappa coefficient. This was converted to C factor of USLE equation and then multiplied by LS factor obtained from digital elevation data. This combined factor could depict detail distribution of hazardous area of soil erosion. Another case was for hilly land along Cagayan River in the Philippines. The author attempted to extract area suffered by gully erosion, which was ditch like feature presented on agricultural field, by using high spatial resolution satellite data. Edge enhancement of Sobel filter applied to WorldView panchromatic data was effective to screen candidate of gully erosion, only it remained falsely extracted area. Then he employed topographical and texture analysis to separate non-gully area from the candidate. As a result, 63.4% of gully was properly extracted by developed method.
机译:本文介绍了两种案例研究,绘制了土地退化的危险状态广泛在东南亚国家广泛出现。一个是印度尼西亚中爪哇省爪哇山上的上层河上游的Keduang流域的案例。该作者开发了一种通过Landsat / TM / ETM +和ALOS / PRISM / AVNIR2 PAN尖锐的数据组合获得2.5米分辨率的土地利用数据,该数据显示了74.4%和0.660的Kappa系数的总体精度。这被转换为USLE方程的C因子,然后乘以从数字高程数据获得的LS因子。这种组合因素可以描绘土壤侵蚀危险区域的细节分布。另一个案例是菲律宾卡加亚河沿着丘陵陆地。作者试图通过使用高空间分辨率的卫星数据来提取沟壑侵蚀所遭受的沟壑侵蚀的区域。应用于WorldView Panchromatic数据的Sobel过滤器的边缘增强对于沟壑侵蚀的候选者有效,只有它仍然被诬告地区。然后他就业地推进和纹理分析,将非沟壑区分开了候选人。结果,通过开发方法妥善提取63.4%。

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