Wetlands, sea, and forest are the three most important ecosystems on our planet. Considering the rapid degradation rate of wetlands, health evaluation of wetlands has become one of the hot points in the research field of wetlands. In this research, health and the pressure-state-response model of ecosystem was used as the tool, data was collected with remote sensing technology, field investigation and social statistics were used as the basis, and a health evaluation index system for Poyang Lake Wetland was created, which was composed of a pressure subsystem, a state subsystem, and a response subsystem with an established evaluation criteria. The values of weight of the subsystems were determined through the analytic hierarchy process (AHP), which were then introduced into the TOPSIS model for calculation. Furthermore, the index values were compared with the ideal values and the grade criteria, through which health conditions of Poyang Lake Wetland were evaluated and the limiting factors of wetland health were determined. Through the comparison between the approach degree of ideal alternatives in 2008-13 and that of 5 evaluation grade and ideal alternatives, the health states in 2008-13 were finally determined as: sub-healthy, sub-healthy, sub-healthy, sub-healthy, subhealthy, sub-healthy. Finally, countermeasures for the ecological restoration and protection of the wetland were put forward.

Health Evaluation of a Lake Wetland Ecosystem Based on the TOPSIS Method

http://www.aloki.hu/pdf/1504_11571166.pdf

River runoff changes in the past millennium under extreme climatic conditions in china

Temporal and Spatial Analysis of Water Extent in Poyang Lake is significant to reveal ecological environment evolution and drought formation mechanism and the influence in the Poyang lake basin. Water extent is the key index to characterize the scale and intensity of drought disaster. The seasonal water change of Poyang Lake is obvious. There is high landscape heterogeneity because the terrain features distribution is highly complex and discontinuous in the dry season. At the same time spectral characteristics of water and its surroundings are complicated in that the microscopic formation mechanism of water is complicated. It is difficult to perform water information extraction. The commonly used water information extraction methods such as classification method, image segmentation method, threshold method, region growing method can't meet the requirements on the efficiency and accuracy. In this paper, Water information extraction and validation of 2011 was performed using HJ-1 CCD data based on decision tree method. Then temporal and spatial analysis of water extent was performed. At last, the relationship between the water extent and disaster loss information was analyzed. The results indicated that the decision tree method significantly improved the efficiency and accuracy compared to the traditional classification method and visual interpretation. It spent 2 hour in extracting water of dry season which need 2 days using visual interpretation method. The accuracy of the method was 94.5 percent of the accuracy using visual interpretation. It can meet the requirement of disaster reduction and solve the problem in dynamic extracting water extent of high landscape heterogeneity. There is high correlation between the temporal and spatial change of the water extent and the drought event.

Temporal and Spatial Analysis of Water Extent in Poyang Lake using HJ-1 data

Vegetation coverage around Poyang Lake area in 1989 and 2003 were estimated based on the model of vegetation coverage deriving from normalized difference vegetation index(NDVI) with the remote sensing data.And the change of vegetation coverage grade was established.The spatio-temporal change in vegetation coverage and its driving processes during recent 14 years were also discussed in this paper.The change of vegetation coverage is not obvious in the mass,but obvious between different districts.

Study on Dynamics of Vegetation Coverage by Remote Sensing in Poyang Lake Area

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Study on Dynamics of Vegetation Coverage by Remote Sensing in Poyang Lake Area