Extracting linear water bodies from water index combined with DEM adaptive search algorithm

doi:10.13474/j.cnki.11-2246.2025.0907

Abstract

Abstract: To address the common issue of discontinuities in traditional single water body extraction methods,an adaptive search algorithm combining remote sensing spectral information and DEM is used to extract linear water bodies and assess the algorithm's applicability for extracting linear water bodies from data with different spatial resolutions.The study focuses on the water bodies in Guangzhou,using 30 m Landsat OLI and 16 m GF1 WFV imagery to obtain normalized difference water index information.Then,30 m resolution ASTER GDEM and 12.5 m resolution ALOS elevation data are selected to obtain river network data.By choosing appropriate search windows and elevation thresholds as extraction parameters,river data is extracted.To address the discontinuities in some areas of the water body index extraction results,the river data is used for spatial overlay to obtain the final river information.The results show that compared with the single water body index extraction results,the linear water bodies extracted by the water body index combined with the DEM adaptive search algorithm (NDWI+12.5 m DEM and NDWI+30 m DEM)are continuous and accurate,with overall accuracies of 90.5%and 95%,respectively.Especially the 12.5 m DEM data shows a more obvious advantage in detail capture and has higher precision.

Key words: normalized difference water index, DEM, lineal water extraction, Guangzhou city

CLC Number:

P237

XU Wenting, YAN Dongmei, WANG Hu, WU Yarui, WANG Meijing, SHEN Qian. Extracting linear water bodies from water index combined with DEM adaptive search algorithm[J]. Bulletin of Surveying and Mapping, 2025, 0(9): 39-44,77.

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