摘要
土地覆被与全球生态环境变化有重要联系,遥感分类技术作为提取大尺度地物信息的主要手段,在土地覆被变化监测中具有重要作用。但是由于监测研究对影像时间序列的要求及像元呈现出的混合光谱的特征,现存城市土地覆被分类方法的分类精度仍待提高。为了精确评估城市土地覆被变化带来的生态效应,寻找到一种简单可行同时又具有较高分类精度的遥感分类方法显得极为重要。基于Landsat 8卫星遥感影像,建立具有代表性的城市土地覆被分类体系,结合地物物候特征改进传统的监督分类方法,并将该方法应用于金坛区土地覆被分类工作中,统计分析2016~2018年金坛区各土地覆被类型的面积变化趋势。结果表明融合地物物候特征的监督分类方法相较于传统监督分类方法可有效改善各覆被类型的提取精度;且在江苏省生物多样性保护政策的实施下,2016~2018年金坛区各土地覆被类型面积变化较为明显。整体来看,该方法在传统监督分类方法的基础上结合地物的物候特征进行土地覆被信息的提取,在保证分类方法简单易行的同时,可以有效提高分类精度,为土地覆被变化生态分析提供了有效参考。
Land cover has an important relationship with global ecological environment change. As the main way to get the large-scale land cover information, remote sensing classification technology plays an essential role in monitoring land cover change. However, due to the requirements of monitoring research on image time series and the characteristics of mixed spectrum presented by pixels, the accuracy of existing urban land cover classification methods still needs to be improved. In order to accurately assess the ecological effects of urban land cover changes, it is very important to find a simple and feasible remote sensing classification method with high classification accuracy. Based on Landsat 8 satellite remote sensing images, this research established a relatively representative urban land cover classification system. Then we set up a new urban land cover classification method by integrating the phenological characteristics of ground objects to the traditional supervised classification method. After that the improved classification method was applied to the land cover classification in Jintan district, and finally we statistically analyzed the change of area of each land cover type in Jintan district form 2016 to 2018. The results showed that compared with the traditional supervised classification method, the supervised classification method with phenological characteristics can effectively improve the classification accuracy of each land cover type. Moreover, with the implementation of the biodiversity protection policy of Jiangsu province, the area of each land cover type in Jintan district changed a lot from 2016 to 2018. On the whole, this research integrated the advantage of phenological characteristics to the process of land cover classification, which not only ensures the simplicity and feasibility of the classification method, but also effectively improves the classification accuracy, providing a reference for ecological analysis of land cover change.
作者
张栋
徐丹丹
吴永波
刘月
安德帅
ZHANG Dong;XU Dan-dan;WU Yong-bo;LIU Yue;AN De-shuai(College of Biology and the Environment,Nanjing Forestry University,Nanjing 210037,China;Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University,Nanjing 210037,China;College of forestry,Nanjing Forestry University,Nanjing 210037,China)
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2021年第7期1614-1624,共11页
Resources and Environment in the Yangtze Basin
基金
国家重点研发计划课题(2016YFC0502704)
国家自然科学基金项目(41901361)
江苏省自然科学基金青年项目(BK20180769)
江苏省“六大人才高峰”创新人才团队项目(TD-XYDXX-006)
江苏省高校自然科学研究面上项目(18KJB180009)。
关键词
土地覆被
监督分类
物候特征
精度分析
生态分析
land cover
supervised classification
enological characteristics
accuracy assessment
ecological analysis