首页> 外文会议>30th Asian conference on remote sensing 2009 >Spatial Characteristics of Floods over the Sub-watershed of the Mekong River in Northeast Thailand using Multi-temporal RADARSAT DATA
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Spatial Characteristics of Floods over the Sub-watershed of the Mekong River in Northeast Thailand using Multi-temporal RADARSAT DATA

机译:基于多时相RADARSAT数据的泰国东北部湄公河小流域洪水的空间特征

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Spatial characteristics of floods are dependent on the flood producing process in which is under the influence of rainfall variability, geomorphology and human action. Floods in the Mekong, Northeast Thailand, are annual events which occur during the second peak of rainy season with recurrence pattern over the same areas. With the cloud penetrability of RADARSAT data, the chronosequence of flood extents can be performed. This exploration aims to establish spatial characteristics of flood in relation to rainfall patterns, watershed characteristics and the river hydrology. The study area, sub-watershed of the Mekong river, covers an area of about 46,694.49 km~2 and has 28 sub-watersheds ranging in size from 440.78 km~2 to 3,469.86 km~2. The RADARSAT data acquired during the flood events for the years 2001, 2002, 2003, 2004 and 2007 were used to create the flood extents. The recurrence of flood areas was analyzed, based on the 5 years flood extents. We determined the inundation patterns as related to die parameters involved in which are rainfall, hydrology and land characteristics. The results provided the pattern of the flood recurrence and producing process as related to the spatial characteristics. The information obtained is restored in GIS database and can be used for advance prevention of the areas affected.
机译:洪水的空间特征取决于洪水的产生过程,该过程受降雨变化,地貌和人类活动的影响。泰国东北部湄公河的洪水是年度事件,发生在雨季的第二个高峰期,并且在同一地区反复发生。利用RADARSAT数据的云渗透性,可以执行洪水范围的时间序列。这项探索旨在建立与降雨模式,流域特征和河流水文学有关的洪水的空间特征。研究区域为湄公河次流域,面积约46694.49 km〜2,有28个次流域,规模从440.78 km〜2到3,469.86 km〜2。使用2001年,2002年,2003年,2004年和2007年洪水事件期间获得的RADARSAT数据来创建洪水范围。根据5年的洪水范围,分析了洪水泛滥的地区。我们确定了与降雨,水文和土地特征有关的淹没模式有关的参数。结果提供了与空间特征有关的洪水复发和生产过程的模式。所获得的信息将还原到GIS数据库中,并可用于预先预防受影响的区域。

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