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Shandong University of Technology (山东理工大学) 2021

GEE-based Analysis of Water Body Extraction and Its Geographical Influence in the Selenga River Basin in Mongolia

姚锦一

Titre : GEE-based Analysis of Water Body Extraction and Its Geographical Influence in the Selenga River Basin in Mongolia

Auteur : 姚锦一

Grade : Master 2021

Université : Shandong University of Technology (山东理工大学)

Résumé partiel
The Mongolian Plateau is an arid and semi-arid region,so the river systems have a great impact on the resource environment and the ecological environment of this region.The Selenga River basin is at the core of China-Mongolia-Russia Economic Corridor.Having accurate spatial and temporal information of waterbody distribution of this river basin is of great significance for studying the effects of resource and environment in this region.This paper studies the portion of the Selenga River basin in Mongolia.Based on GEE(Google Earth Engine)platform and using Sentinel-2 images as the data source,different machine learning methods were used to extract waterbody information.Different waterbody extraction methods were then evaluated and a suitable one for extracting waterbody for the Mongolia Plateau region was identified.This provided a methodological support for studying the evolution mechanism of curved rivers.Combined with the river network data in this region,the 2018 river distribution information of the Selenga River basin was obtained and used for correlation analysis with the statistical information(population,animal husbandry and size of cropland)in the corresponding administrative regions,and with the size of river areas in the Selenga River basin,to conduct a geographical impact analysis.

Mots clés : water body ;GEE;Selenga River ;Deep Learning ;remote sensing interpretation ;

Présentation (CNKI)

Page publiée le 17 mars 2022