• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Geographic Information System >Riverine Flood Damage Assessment of Cultivated Lands along Chenab River Using GIS and Remotely Sensed Data: A Case Study of District Hafizabad, Punjab, Pakistan
【24h】

Riverine Flood Damage Assessment of Cultivated Lands along Chenab River Using GIS and Remotely Sensed Data: A Case Study of District Hafizabad, Punjab, Pakistan

机译：基于GIS和遥感数据的Chenab河沿岸耕地的河道洪水破坏评估-以巴基斯坦旁遮普邦Hafizabad地区为例。

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Flood is one of a kind of disasters which harms human and animal life around the globe. Pakistan has been observing massive floods for many years because of daily and seasonal variation in the temperature levels. Wheat, rice, sugarcane and cotton are major crops cultivated in Punjab region of Pakistan in which rice and sugarcane are mostly effected by floods. In this research paper, damage assessment of cultivated land in district Hafizabad along Chenab River has been calculated. Supervised Classification and Soil Adjusted Vegetation Index (SAVI) methods are applied. Pre-flood 2014, post-flood 2014, and pre-flood 2015 Landsat 8 images have been used to calculate the extent of damages to cultivated lands. Water, sand, silt, bare soil and vegetation are classified to identify damage. Results show that vegetation cover has plummeted to 50% after the arrival of flood 2014 in the Chenab. Similarly, 6.7047% of sand and 15.7339% of bare soil deposits have surfaced which have not yet been removed from fertile lands in 2015. 18.4376% standing crop damage has been analyzed under this study. 14.0245% silt deposits have been calculated as post-flood effects. 46.4260% land has been cultivated in 2015 which is 15.5024% lower than 2014 cultivated land. Furthermore, field verification survey has given promising results and has a great correlation with satellite based recovery results.
机译：洪水是一种危害全球人类和动物生命的灾难之一。由于温度水平的每日和季节性变化，巴基斯坦多年来一直观察到大洪水。小麦，稻米，甘蔗和棉花是巴基斯坦旁遮普地区主要的农作物，稻米和甘蔗主要受洪水影响。本文研究了Chenab河沿岸Hafizabad地区耕地的破坏评估。采用监督分类和土壤调整植被指数（SAVI）方法。洪灾前2014，洪灾后2014和洪灾前2015 Landsat 8图像已用于计算对耕地的破坏程度。将水，沙子，淤泥，裸露的土壤和植被分类以识别损害。结果表明，2014年奇纳布（Chanab）洪水泛滥后，植被覆盖率下降了50％。同样，2015年尚未从肥沃的土地上清除的砂土中有6.7047％的沙土和15.7339％的裸土沉积物已经浮出水面。本次研究分析了18.4376％的常熟作物损害。已计算出14.0245％的淤泥沉积物是洪水后的影响。 2015年耕地面积为46.4260％，比2014年减少了15.5024％。此外，现场验证调查已给出了可喜的结果，并且与基于卫星的恢复结果有很大的相关性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号