首页> 外文会议>ISPRS Technical Commission VIII Mid-Term Symposium >DEVELOPMENT OF FLOOD INUNDATION LIBRARIES USING HISTORICAL SATELLITE DATA AND DEM FOR PART OF GODAVARI BASIN: AN APPROACH TOWARDS BETTER FLOOD MANAGEMENT
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DEVELOPMENT OF FLOOD INUNDATION LIBRARIES USING HISTORICAL SATELLITE DATA AND DEM FOR PART OF GODAVARI BASIN: AN APPROACH TOWARDS BETTER FLOOD MANAGEMENT

机译:历史卫星数据与DEM的发展洪水淹没图书馆,成为戈达瓦里盆地的一部分:更好的洪水管理方法

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Conventional method of identifying areas to be inundated for issuing flood alert require inputs like discharge data, fine resolution digital elevation model (DEM), software for modelling and technically trained manpower to interpret the results meaningfully. Due to poor availability of these inputs, including good network of historical hydrological observations and limitation of time, quick flood early warning becomes a difficult task. Presently, based on the daily river water level and forecasted water level for major river systems in India, flood alerts are provided which are non-spatial in nature and does not help in understanding the inundation (spatial dimension) which may be caused at various water levels. In the present paper a concept for developing a series of flood-inundation map libraries two approaches are adopted one by correlating inundation extent derived from historical satellite data analysis with the corresponding water level recorded by the gauge station and the other simulation of inundation using digital elevation model (DEM's) is demonstrated for a part of Godavari Basin. The approach explained can be one of quick and cost-effective method for building a library of flood inundation extents, which can be utilized during flood disaster for alerting population and taking the relief and rescue operations. This layer can be visualized from a spatial dimension together with other spatial information like administrative boundaries, transport network, land use and land cover, digital elevation data and satellite images for better understanding and visualization of areas to be inundated spatially on free web based earth visualization portals like ISRO's Bhuvan portal (http://bhuvan.nrsc.gov.in). This can help decision makers in taking quick appropriate measures for warning, planning relief and rescue operations for the population to get affected under that river stage.
机译:识别洪水警报的识别区域的传统方法需要输入的输入,如放电数据,精细分辨率数字高度模型(DEM),用于建模和技术训练的人力的软件,以略微解释结果。由于这些投入的可用性差,包括良好的历史水文观测网络和时间限制,快速洪水预警成为一项艰巨的任务。目前,根据印度的主要河流系统的日常河水水平和预测水位,提供了洪水警报,其在自然界是不空间的,并且没有帮助理解可能在各种水中引起的淹没(空间维度)水平。在本文中,通过将历史卫星数据分析的历史卫星数据分析中断的历史卫星数据分析中的繁殖范围与测量站记录的相应水位以及使用数字高度的泛滥的另一个模拟来通过相关的卫生数据分析来采用两种方法,用于开发一系列洪水淹没地图图书馆的概念。模型(DEM'S)被证明了Godavari盆地的一部分。该方法解释的方法可以是建立洪水淹没范围库的快速且经济高效的方法之一,可以在洪水灾害期间使用,以便提醒人口并采取救济和救援行动。该层可以与其他空间信息一起可视化,与其他空间信息,如行政边界,传输网络,土地利用和陆地覆盖,数字高度数据和卫星图像,以便在空间基于Web基础的地球可视化上更好地理解和可视化区域的区域像Isro的Bhuvan门户网站(http://bhuvan.nrsc.gov.in)。这可以帮助决策者采取快速适当的措施,用于警告,规划救援和救援行动,以便在该河阶段受到影响。

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