摘要
基于汝州市2015~2018年的遥感影像和年鉴数据,采用Gram-Schmidt变换方法对Landsat8 OLI和Sentinel-1A遥感影像数据融合并进行分类,提取土地利用信息,并对土地利用变化驱动力因素进行分析。结果表明:(1)与Landsat8 OLI分类结果比较,与Sentinel-1A融合后的影像总体分类精度提高了1.45%,Kappa系数提高了0.0197;(2)汝州市的土地利用主要以耕地、林地为主,其中耕地逐年减少,主要转化成林地和建设用地;林地逐年增加,主要来源是耕地;(3)驱动汝州市土地利用变化的主要驱动力因素是政策实施、经济发展、产业结构调整、农业结构调整、城市化等。
Based on the remote sensed images and yearbook data of Ruzhou from 2015 to 2018,the Landsat 8 OLI images and Sentinel-1 A remote sensing image data were fused by using the Gram-Schmidt transformation,and the fused images were used to extract land use information.And the driving force of land use change was analyzed.The results show that:(1)Compared with the classification results that based on Landsat8 OLI images,the overall classification accuracy of the fused images was increased by 1.45%,and the Kappa coefficient was increased by 0.0197.(2)The land use in Ruzhou City is mainly cultivated land and forest land,and the cultivated land is reduced year by year,mainly converted into forest land and built land;forest land increases year by year,the main source is cultivated land.(3)The main driving factors of land use change in Ruzhou City are policy implementation,economic development,industrial structure adjustment,agricultural structure adjustment,urbanization,etc.
作者
邓飞
王金亮
DENG Fei;WANG Jin-liang(College of Tourism and Geographic Sciences,Yunnan Normal University,Kunming 650500,Yunnan,China;Key Laboratory of Resources and Environmental Remote Sensing,Universities in Yunnan,Kunming 650500,Yunnan,China;Remote Sensing Research Laboratory,Center for Geospatial Information Engineeringand Technology of Yunnan Province,Kunming 650500,Yunnan,China)
出处
《云南地理环境研究》
2020年第4期48-56,共9页
Yunnan Geographic Environment Research
基金
国家重点研发计划政府间国际科技创新合作重点专项“利用地理空间技术监测和评估土地利用/土地覆被变化对区域生态安全的影响”(2018YFE0184300)
云南省哲学社会科学重点项目(ZDZZD201506)
云南省高校科技创新团队资助。