Monitored landscape change of Lake Baiyangdian wetland with dynamic reed area based on remote sensing

Zhen Wang; Lei He; Shengwei Zhang; Yuping Lei

doi:10.1117/12.831380

7 October 2009 Monitored landscape change of Lake Baiyangdian wetland with dynamic reed area based on remote sensing

Zhen Wang, Lei He, Shengwei Zhang, Yuping Lei

Proceedings Volume 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX; 74781Y (2009) https://doi.org/10.1117/12.831380
Event: SPIE Remote Sensing, 2009, Berlin, Germany

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.

Citation Download Citation

Zhen Wang, Lei He, Shengwei Zhang, and Yuping Lei "Monitored landscape change of Lake Baiyangdian wetland with dynamic reed area based on remote sensing", Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74781Y (7 October 2009); https://doi.org/10.1117/12.831380

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