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基于多源DEM数据的小流域水文特征提取分析

Extraction and Analysis of Hydrological Characteristics in Small Watershed Based on Multisource DEM Data

  • 摘要: 水系路径、小流域边界、倾泄点位置等水文特征的高精度提取是进行水文特征分析的基础和前提。为了解决低分辨率SRTM DEM、ASTER GDEM等DEM(Digital Elevation Model)数据提取水文特征精度较低的问题,本研究首先基于InSAR(Interferometry Synthetic Aperture Radar)技术与Sentinel-1A的SLC影像数据得到空间分辨率与测高精相对较高的研究区DEM,然后对比分析基于不同DEM数据的小流域水文征提取结果,最终本研究主要得出以下结论:(1)基于SRTM DEM、ASTER GDEM及InSAR DEM的高程提取误差均值分别为8.1、8.5及3.7 m,其中InSAR DEM的高程提取精度最高;(2)基于SRTM DEM、ASTER GDEM及InSAR DEM提取6条干流水系路径的重合度分别为74.12%、85.50%及88.36%,重合度依次升高;(3)基于SRTM DEM、ASTER GDEM和InSAR DEM提取各水系倾泄点位置与实际倾泄点位置的均值误差分别为4.93、4.69及4.63 km,误差依次降低。

     

    Abstract: The high-precision extraction of hydrological characteristics,such as water system route,small watershed boundary and the position of pour point,is the basis and premise of accurate analysis of various hydrological characteristics. In order to solve the problem of low accuracy extraction results of hydrological feature based on low resolution DEM data(SRTM DEM,ASTER GDEM),this study first obtains relatively high accuracy DEM with spatial resolution and altimetry precision based on InSAR technology and Sentinel-1A/SLC data,and then compares and analyzes the extraction results of hydrological characteristics for small watershed based on different DEM data sources. Finally,the main conclusions of this study are as follows:(1) Based on SRTM DEM,ASTER GDEM and InSAR DEM,the extraction errors of mean height of five sampling points are 8.1,8.5 and 3.7 m respectively,and the InSAR DEM has the highest accuracy.(2) Based on SRTM DEM,ASTER GDEM and InSAR DEM,the coincidence degrees of the six main water system routes are 74.12%,85.50% and 88.36% respectively,and the coincidence degrees increases successively.(3) The mean error between the actual position of pour point and the extracted position of pour point from SRTM DEM,ASTER GDEM and InSAR DEM are 4.93,4.69 and 4.63 km respectively,and the error decreases successively.

     

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