基于Landsat影像的鄱阳湖地物覆盖遥感监测与预测

Remote Sensing Monitoring and Prediction of Land Cover Changes in Poyang Lake Based on CA-Markov Model

湿地监测是湿地保护中的基础性工作,也是重要性工作。以江西省鄱阳湖湿地为研究区,基于Landsat数据,通过支持向量机法对鄱阳湖2015—2020年1月枯水期初期水域范围遥感数据进行分类,对地物覆盖类型进行分类并统计各年份不同地物覆盖面积。利用CA-Markov模型计算研究期内土地利用的转移矩阵,由此预测2021年土地利用状态和趋势。通过分析监测结果得到研究区枯水期初期环境变化情况。研究结果可一定程度上对鄱阳湖生态管理与生态环境改善提供帮助。

Wetland monitoring is the basic and important work in wetland protection.Taking the Poyang Lake wetland in Jiangxi Province as the research area,based on Landsat data,the remote sensing data of the water area of Poyang Lake in the early dry period of January 2015—2020 were classified with the support vector machine method,and the types of ground coverage were extracted and the area covered by different land objects in each years were calculated.The CA-Markov model was applied to obtain the transfer matrix of land use during the study period to predict the state and trend of land use in 2021.Through the analysis of the monitoring results,the environmental changes in the study area at the beginning of the dry season were obtained,which could provide the reference for Poyang Lake ecological management and ecological environment improvement.