基于洪水过程的农业洪灾变化遥感快速评估模型及其应用

发布时间：2018-05-06 09:20

本文选题：洪涝过程 + 时序遥感影像　；参考：《长江流域资源与环境》2017年11期

【摘要】：洪涝灾情的准确测度需要同时兼顾淹没区的面积大小和淹水时长信息。利用淹没区内由水和作物等多种地物所组成的"复合水体"不同于水体的波谱时间变化特性,将不同洪灾时期的水体指数和植被指数进行信息复合,以有效凸显水体和洪涝淹没区之间的影像差异,据此进行了灾初期、峰期和中后期等3个时次受淹范围的有效识别。在此基础上,根据洪涝灾情随着淹没时长而加重以及灾区内淹水时长非均匀分布的特性,建立基于淹没时长的受淹面积不等权参与的洪灾扩展动态度指数(Variation Index of Flood,VIF)和区域灾情比较指数(Comparison Index of Flood Disaster,CIFD)两种模型,并将模型应用于鄱阳湖区2016年夏季农业洪涝灾害的时空变化遥感监测。结果显示,应用上述两种模型不仅可以准确获取鄱阳湖区本次农业洪涝灾情的演变趋势,而且能够方便地对比分析区域内不同地方的受灾程度。鄱阳湖区在2016年6月23日~7月25日期间的洪涝灾情具有由弱增强再趋弱的特征,其VIF指数由初始阶段(6月23日~7月9日)的3.75降至后续阶段(7月9日~7月23日)的1.29;鄱阳县是研究区内受灾最严重的区域,其CIFD指数值居于研究区内各受灾县市之首,该县受灾总面积以及多次被淹的灾区面积均高于其他县市。
[Abstract]:The accurate measurement of flood and waterlogging disaster needs to take into account the area size and flooding time information. In this paper, the information of water body index and vegetation index in different flood period is combined by using the time variation characteristics of wave spectrum of "composite water", which is composed of water, crops and other ground objects in the inundated area, which is different from the water body. In order to effectively highlight the image difference between the water body and the flooded area, the range of flooding in the early, the peak and the middle and late stages of the disaster was effectively identified. On this basis, according to the characteristics of the flood and waterlogging disaster situation aggravated with the flooding time and the non-uniform distribution of the flooding duration in the disaster area, In this paper, two kinds of models of flood expansion dynamic index (Index of flooding VIFs) and comparison Index of Flood disaster (CIFD) based on inundation duration of inundated area with unequal weight participation are established, and two kinds of models are established, which are: (1) flood expansion dynamic index (Index) and (2) regional disaster comparison index (comparison Index of Flood disaster). The model is applied to the remote sensing monitoring of agricultural flood and waterlogging disasters in the Poyang Lake region in 2016. The results show that the above two models can not only accurately obtain the evolution trend of agricultural flood and waterlogging in Poyang Lake region, but also can easily compare and analyze the disaster degree of different places in the Poyang Lake region. The flood and waterlogging in Poyang Lake region from June 23 to July 25, 2016 has the characteristics of weak enhancement and then weakening. The VIF index decreased from 3.75 in the initial stage (June 23 to July 9) to 1.29 in the subsequent stage (from July 9 to July 23). Poyang County is the most affected area in the study area, and its CIFD index is the highest in all counties and cities in the study area. The total area affected by the county and repeatedly flooded disaster area are higher than other counties and cities.
【作者单位】：湖北大学资源环境学院;农业部遥感应用中心武汉分中心;
【基金】：国家自然科学基金项目(41371344,40601003) 农业部—农业农村资源监测统计项目(06162130111242026) 安徽省智慧城市与地理国情监测重点实验室开放基金(2016-K-02Z)~~
【分类号】：S422;TP79

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