DocumentCode
2681398
Title
Inland lake monitoring using low and medium resolution ENVISAT ASAR and optical data: Case study of Poyang Lake (Jiangxi, P.R. China)
Author
Andreoli, R. ; Yesou, H. ; Li, Jie ; Desnos, Yves-Louis
Author_Institution
Univ. Louis Pasteur, Illkirch
fYear
2007
fDate
23-28 July 2007
Firstpage
4578
Lastpage
4581
Abstract
Poyang Lake, one of the most regularly flooded areas in China, can be considered as a key natural flood control and reduction element within the Changjiang middle basin. Within the Flood DRAGON Project, part of the MOST-ESA DRAGON Programme, Poyang Lake´s water extent was monitored based on 64 ENVISAT low and medium resolution ASAR and MERIS Full Resolution data, over a two and half year period. It´s the first time that such an amount of ENVISAT data was exploited in monitoring inland lake water extent variations. This original integration approach permitted: lake-surface variation analysis, yearly submersion-time estimation, and the recognition of three hydrological sub-systems. The results highlight the great potential of ENVISAT and more largely of Earth Observation Medium Resolution data in monitoring and managing large inland water bodies. This approach can be applied worldwide in a global climate change context.
Keywords
artificial satellites; floods; hydrological techniques; lakes; remote sensing by radar; spectroscopy; synthetic aperture radar; Changjiang middle basin; China; Flood DRAGON project; MOST-ESA DRAGON programme; Poyang ake; flood; full resolution MERIS data; inland lake monitoring; lake surface variation analysis; low resolution ENVISAT ASAR; medium resolution ENVISAT ASAR; optical data; yearly submersion time estimation; Calibration; Data analysis; Databases; Earth; Floods; Lakes; Monitoring; Remote sensing; Satellites; Water resources; ASAR; ENVISAT; Earth Observation time series; MERIS FR; Poyang Lake; WSM; floods; hydrological dynamic; submersion time;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4423876
Filename
4423876
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