Delineation of Flood-Prone Areas Using Remote Sensing Techniques
Delineation of Flood-Prone Areas Using Remote Sensing Techniques
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DOI：
10.1007/s11269-005-3281-5
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发表时间：
2005-08
影响因子：
4.3
通讯作者：
S. Jain;Rohit Singh;M. Jain;A. K. Lohani
中科院分区：
文献类型：
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作者：
S. Jain;Rohit Singh;M. Jain;A. K. Lohani
印度比哈尔邦的平原地区经常发生暴雨和排水堵塞造成的洪水问题。由于这个问题，位于比哈尔邦Kahalgaon Koa流域的发电厂在洪水发生时面临巨大损失。本文利用遥感卫星数据（IRS利斯III，1999年和Landsat TM，1995年）绘制了Koa流域受洪水影响地区的地图。使用了一系列图像处理技术，包括简单密度切片、流苏帽变换和水特异性指数。使用不同的方法获得的结果进行了分析。结果表明，归一化差异水指数（NDWI）为基础的方法产生了最好的结果。
Flood problems resulting due to heavy rainfall and drainage congestion are being regularly experienced in plain areas of Bihar, India. Due to this problem, power plant located in Koa catchment, Kahalgaon, Bihar, is faces huge loss at the time of flood. In this paper, the flood-affected areas in Koa catchment have been mapped using remote sensing satellite data (IRS LISS III, 1999 and Landsat TM, 1995). A range of image processing techniques has been used, including simple density slicing, Tasseled Cap Transformation and water-specific index. The results obtained using different approaches have been analysed. Result indicates that a Normalized Difference Water Index (NDWI) based approach produced best results.