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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Monitoring the Dynamic Changes in Urban Lakes Based on Multi-source Remote Sensing Images
verfasst von : Bo Cao, Ling Kang, Shengmei Yang, Debao Tan, Xiongfei Wen
Erschienen in: Geo-Informatics in Resource Management and Sustainable Ecosystem
Verlag: Springer Berlin Heidelberg
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To enhance the urban lake information management, this paper applied the remote sensing technique to timely acquire the lake area reduction and water quality deterioration information of urban lakes. The appropriate classification rules and retrieval model were selected to obtain the important information concerned by the lake management department, such as the lake boundary, land use classification, lake temperature and chlorophyll content based on the multi-source remote sensing images. We found that the remote sensing technique can detect the abnormal change of the urban lake and track the development trend consistently. It highly improves the lake survey efficiency and will also promote the sustainable development of the lake ecosystem.