Research on River Networks Extraction Based on RS and GIS

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Luo, Dayou^1,2 ; Wen, Xingping^1,2 ; Zhang, Haonan^1,2 ; Li, Jinbo^1,2 ; Xu, Junlong^1,2 ; Yu, Zhi^1,2

Faculty of Land Resource Engineering, Kunming University of Science and Technology, Yunnan Kunming

650093, China^1

Mineral Resources Prediction and Evaluation Engineering Laboratory of Yunnan Province, Yunnan Kunming

650093, China^2

关键词: Automatic extraction;    Channel classification;    Hydrological characteristics;    Inflection points;    River basins;    River network;    Terra satellites;    Threshold-value;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/5/052021/pdf
DOI  :  10.1088/1757-899X/382/5/052021

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In view of the arid and semi-arid situation in most areas of Longchuan river basin, it is helpful to study the hydrological characteristics of the watershed to alleviate the drought situation in the region. Through the GDEM image provided by ASTER sensor carried by Terra satellite, the DEM data is preprocessed in GIS, the automatic extraction of river network, channel classification and sub-basin division are realized. The method of calculating the inflection point of the curve of the confluence accumulation and the density of the river network is used to determine the threshold value, and finally the river network water system which is consistent with the actual river is extracted.