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  • 标题:Remote Sensing Techniques for Mapping Degraded Land
  • 本地全文:下载
  • 作者:V.M. Patel ; M.B. Dholakia ; S. S. Ray
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 卷号:4
  • 期号:7
  • 页码:6503
  • DOI:10.15680/IJIRSET.2015.0407181
  • 出版社:S&S Publications
  • 摘要:Land degradation has become a global urgent issue and is now being considered with high priority,especially in the developing countries in order to meet food and fibre demands of accelerated population pressure withthe limited available resources. Land degradation by waterlogging and salinization causes decline in productioncapacity of land. Waterlogging and salinization are two main causes of land degradation in a canal command area. Thestudy was conducted for two distributary comamnds namely, Pansora and Chikhaliya of MRBC (Mahi Right BankCanal) command area. Remote sensing data of IRS-P6 LISS-III sensor and IRS-1D LISS-III sensor were analyzed fordelineation of waterlogged and salt affected area using digital image processing techniques. For waterlogged and saltaffected area detection, first K-Means unsupervised classification was carried using the data of Green, Red, NIR (nearinfrared) and SWIR (short wave infrared) bands as input. However, in the first stage classification water bodies andwaterlogged areas could not be separated from each other. So in the second level classification, only the area underwater bodies and waterlogged classes were considered and again classified. This could differentiate the water bodiesand water logged areas and the areas under waterlogged classes were estimated. In the command area of Pansoradistributary, the waterlogged area was found to be 212.6 ha, while in Chikhaliya distributay command area, the saltaffected area was found to be 1423 ha.
  • 关键词:Remote Sensing; Waterlogged; Salt affected; DN
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