Extraction of connected river networks from multi-temporal remote sensing imagery using a path tracking technique
Extraction of connected river networks from multi-temporal remote sensing imagery using a path tracking technique
复制标题
DOI：
10.1016/j.rse.2020.111868
复制
发表时间：
2020-09
影响因子：
13.5
通讯作者：
Huili Chen;Q. Liang;Zhongyao Liang;Yong Liu;Tingyu Ren
中科院分区：
文献类型：
--
作者：
Huili Chen;Q. Liang;Zhongyao Liang;Yong Liu;Tingyu Ren
精确划定河流网络对于精确的水文和洪水建模非常重要。虽然遥感（RS）在监测水文变化的空间和时间表现出巨大的潜力，现有的RS为基础的方法提取的河流网络的基础上，当地的形态，很少考虑到河流的整体水文连通性。现有的河网定位方法普遍忽略了水面的季节变化和临时水体的存在，影响了河网定位的精度。为了解决这些问题，提出了一种基于多时相遥感影像的水面时空变化提取和基于路径跟踪技术的连通河网高精度勾画方法（简称EMID法）。EMID方法使用（a）多时相影像和随机森林模型来描绘连接的河流网络，以在不同水文条件下对水面的位置和范围进行天气图绘制，以及（B）基于水出现频率来找到最佳河流路径的优化算法。四个流域不同的河流形态被认为是验证EMID。与其他方法相比，EMID方法一致地产生河流网络结果，在河流位置、河流覆盖范围和网络连通性方面具有更高的精度。
Precise delineation of river networks is important for accurate hydrological and flood modelling. Whilst remote sensing (RS) has showed great potential in monitoring hydrological changes over space and time, the existing RS-based methods extract river networks based on local morphologies and seldom take into account the overall hydrological connectivity of the rivers. The existing methods also commonly neglect the effect of seasonal variation of water surfaces and the existence of temporary water bodies, which deteriorate the precision of positioning river networks. To address these challenges, a new two-stage method is developed toExtract spatiotemporal variation of water surfaces based onMulti-temporal remote sensingImagery andDelineate connected river networks with improved accuracy (EMIDmethod for short) using a path tracking technique. The EMID method delineates connected river networks using (a) multi-temporal imagery and a Random Forest model to synoptically map the location and extent of water surfaces under different hydrological conditions, and (b) an optimization algorithm to find the best river paths based on water-occurrence frequency. Four drainage basins with various river morphologies are considered to validate EMID. Comparing with alternative methods, the EMID method consistently produces river network results with improved accuracy in terms of stream location, river coverage and network connectivity.