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利用龙祥岛区域2001年ASTER影像、2013年GF-1影像以及Google Earth影像等辅助数据,基于面向对象分类的方法,建立各地物类型的提取规则,提取出龙祥岛区域湿地-非湿地信息,并基于e Cognition软件对龙祥岛区域湿地进行变化检测,最后利用Excel统计软件作出湿地-非湿地信息面积转移矩阵及面积转移率矩阵.结果表明:2001年ASTER影像分类总体精度为87.42%,Kappa系数为0.84;2013年GF-1影像分类总体精度为90.72%,Kappa系数为0.87.研究区2001-2013年间,湿地总面积减少了4.05%,为1.1 km~2,其中天然湿地(包括永久性河流和滩涂)总面积减少了1.65%,为0.42 km~2,人工湿地(包括淡水养殖场和农用池塘)总面积减少了39.76%,为0.68 km2;非湿地总面积增加了4.71%,为1.1 km~2.人工湿地和天然湿地内部变化情况呈现出不同的状态,天然湿地中,约有3.888 km~2的滩涂面积变为永久性河流,主要变化区域位于研究区的东南部和西北部;而在人工湿地中,约有0.663 km~2的淡水养殖场和0.41 km2的农用池塘变为非湿地,主要变化区域位于龙祥岛本岛及研究区的西南角部分,人工湿地变化的主要原因是人类生产生活进程的加快.
Based on the object-oriented classification method of ASTER image in 2001, the GF-1 image in 2013 and the Google Earth image in the region of Longxiang Island, the extraction rules of each object type are established and the information of wetland-non-wetland in Longxiang Island is extracted , And based on e Cognition software, the change of the wetland in Longxiang Island was detected.At last, the Excel-statistical software was used to make the wetland-non-wetland information area transfer matrix and the area transfer rate matrix.The results showed that the overall accuracy of ASTER image classification in 2001 was 87.42% Kappa coefficient was 0. 84. The overall accuracy of GF-1 image classification was 90.72% and Kappa coefficient was 0.87 in 2013. The total area of wetlands decreased by 4.05% and 1.1 km ~ 2 in 2001-2013, of which, natural wetlands The total area of wetlands (including freshwater farms and agricultural ponds) decreased by 39.76% to 0.68 km2; the total area of non-wetlands increased by 4.71%, which was 1.1 km ~ 2. The internal changes of constructed wetlands and natural wetlands show different states. In natural wetlands, about 3.888 km ~ 2 of beach area becomes a permanent river and the main change area is located in the southeastern part of the study area In the constructed wetland, about 0.663 km ~ 2 of freshwater farms and 0.41 km2 of agricultural ponds become non-wetlands, the main changes are located in the island of Longxiang Island and the southwestern corner of the study area, the changes in the constructed wetlands The main reason is the acceleration of human production and life.