Abstract: Shouguang city is an important salt  production base of sea salt in China，which needs typical data to analyze and manage the significant changes in volume and distribution pattern. Landsat TM/OLI remote sensing platform was used as data source combined with expert knowledge to supervise classification and processing of four remote sensing images in 1989, 1995, 2005 and 2015 in Shouguang city of Shandong province. Based on the dynamic changes in the past 30 years, salt pan area and driving forces affecting the change were analyzed by using land-use change matrix method. The results showed that: the accuracy of land use classification results in the study area was higher than 85%, and the Kappa coefficient was greater than 0.80. The area of salt pan in Shouguang city increased by 19 503.72 hm² in the past 30 years, with an annual growth rate of 3.68%, showing a trend of decreasing after the increasing. From 1985 to 1995, the area of salt pan increased rapidly, with an  annual growth rate of 12.13%; the annual growth rate dropped sharply from 1995 to 2005, only 1.35%; the area of salt pan showed negative growth during 2005—2015, with an annual growth rate of 1.63%. During the study period, the increased salt pans were mainly from intertidal zone, coastal waters and grassland, while the decreased salt pans were mainly reclaimed for cultivated land and construction land. The results could provide data and basis for the scientific management and utilization of coastal salt pan, the reclamation of the waste salt field and the restoration of wetlands in Shouguang city and even in Shandong province.

Key words: salt pan, remote sensing monitoring, Landsat TM/OLI; , supervised classification

摘要： 寿光市是我国重要的海盐生产基地，亟需选取典型数据对其在体量及空间分布格局发生的显著变化进行分析与管理。以Landsat TM/OLI遥感影像及土地利用现状图为基础数据源，结合野外实地调查形成的专家先验知识，对研究区1985、1995、2005和2015年4期遥感影像图进行监督分类及处理，并利用土地利用转移矩阵监测寿光市30年间盐田面积动态变化，对影响其变化的主要驱动因素进行了分析与讨论。结果表明：研究区土地利用分类结果精度较高，总体精度高于85%，Kappa系数大于0.80。研究期间寿光市盐田面积增加19 503.72 hm ²，年均增长率为3.68%，整体表现出先增后减的变化趋势。1985—1995年,盐田面积迅速增加，年增长率为12.13%；1995—2005年间,年增长速率急剧降低，仅为1.35%；2005—2015年间,盐田面积表现为负增长，年增长率为-1.63%。研究期内增加的盐田主要来源于滩涂、沿海水域和草地，而减少的盐田主要复垦为耕地和建设用地。研究结果可为寿光市乃至山东省滨海盐田的科学管理与利用、废弃盐田的复垦与湿地恢复提供理论与数据参考。

关键词: 盐田, 遥感监测, Landsat TM/OLI, 监督分类