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Proceedings Paper

Monitored landscape change of Lake Baiyangdian wetland with dynamic reed area based on remote sensing
Author(s): Zhen Wang; Lei He; Shengwei Zhang; Yuping Lei
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Paper Abstract

Lake Baiyangdian, a largest wetland ecosystem in North China Plain, has dried up on seven occasions since the 1960s. In recent years, more than one billion of cubic meters of water from upstream reservoirs and Yellow river have been transported to the lake to rescue the shrinking wetlands. Since the Lake Baiyangdian was actually composed of 143 small lakes and more than 70 villages with large or small area of cropland, dynamic distribution of aquatic plants in wetland such as reed and associated growth condition of these allowed to monitor the changes of wetland landscape and water quality to support the policy applications of water conveyance and wetland environmental treatment and control. Assisted with ground survey analyses and Landsat TM image, the MODIS 250 m time series Normalized Difference Vegetation Index (NDVI), given its combination of medium spatial and high temporal resolution, were applied to detect the unique rapid growth stage of reed in the spring from adjacent crops such as winter wheat, cotton, and spring maize, of which has a similar phenology in development of leaf area index, and dynamic reed areas were mapped in recent decade. Landscape changes of the wetland were analyzed using maps of reed area and hydrological data.

Paper Details

Date Published: 7 October 2009
PDF: 10 pages
Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74781Y (7 October 2009); doi: 10.1117/12.831380
Show Author Affiliations
Zhen Wang, Institute of Genetics and Developmental Biology (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Lei He, Jiangxi Agricultural Univ. (China)
Shengwei Zhang, Institute of Genetics and Developmental Biology (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Yuping Lei, Institute of Genetics and Developmental Biology (China)


Published in SPIE Proceedings Vol. 7478:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX
Ulrich Michel; Daniel L. Civco, Editor(s)

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