Abstract:The wetlands in Poyang Lake Reserve were selected as the study area. Based on multi-temporal and multi-polarization ENVISAT ASAR data, principal component analysis and generated the principal component images were applied , within which the higher components (i.e., those beyond the first one) defined the majority of localized anomalies. By using the higher component images and log operator, change detection of water surface indicated that although the wetland in Poyang Lake Reserve has a lagging effect on the movements of water level outside the lake basin, evidently the flooded wetland is affected by inundation in Poyang Lake. Compared with the widely used Post-classification Comparison Method and Pre-classification Change Detection Method, this paper presents more precise results and proves its own solution suitable for change detection of flooded areas using ASAR data. Moreover, an image which is made up of cross- and like-polarized signals from multi-temporal ASAR data offers a greater accuracy in water surface change detection than a combination of like-polarized (HH/VV) signals.
徐怡波, 赖锡军, 周春国. 基于卫星雷达数据的鄱阳湖湿地水面检测与淹露分析[J]. 中国环境科学, 2010, 30(增刊): 57-63.
XU Yi-Bo, LAI Xi-Jun, ZHOU Chun-Guo. Water surface change detection and analysis of bottomland submersion-emersion of wetlands in Poyang Lake Reserve using ENVISAT ASAR data. CHINA ENVIRONMENTAL SCIENCECE, 2010, 30(增刊): 57-63.