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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >FLOOD FORECASTING METHOD BASIS AS FLOOD MONITORING PROGRESS OF MEKONG RIVER
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FLOOD FORECASTING METHOD BASIS AS FLOOD MONITORING PROGRESS OF MEKONG RIVER

机译:湄公河流域洪水预报方法的洪水预报方法

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摘要

In this paper, used MODIS satellite image (MOD13) for monitoring the progress of flood in Mekong River Basin and testing the flood forecasting method for the Mekong Delta in flooding stage of 2015. The results showed that (80% reliability): MODIS image can be used to monitor the progress of flood in large areas of the Mekong River Basin. There was a close relationship between enhanced vegetation index EVI, land surface water index LSWI with growth status of plants and surface water of the flood. Risk flood maps during the flood season of the study area were established as the basis for developing the flood forecasting method applied to the Mekong Delta. With accuracy about 91%, this flood forecast method opened a new direction for researching about environmental disasters using the resource of satellite image at low cost. Therefore, it should use these images for monitoring the process, forecasting flood capability and other related fields in combination with other types of vegetation indices.
机译:本文利用MODIS卫星图像(MOD13)监测湄公河流域洪灾进展,并检验了2015年汛期湄公河三角洲的洪水预报方法。结果表明(80%的可靠性):MODIS图像可以用于监测湄公河流域大面积洪水的进展。植被指数EVI,地表水指数LSWI与植物生长状况和洪水地表水之间存在密切的关系。建立研究区域汛期的风险洪水图,作为开发应用于湄公河三角洲的洪水预报方法的基础。这种洪水预报方法的准确度约为91%,为利用低成本卫星图像资源研究环境灾害开辟了新的方向。因此,应结合其他类型的植被指数,使用这些图像来监视过程,预测洪水能力和其他相关领域。

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