摘要
基于1997、2011及2021年Landsat影像,通过MapGIS软件处理遥感影像获取土地利用数据,通过ArcGIS软件构建地学信息图谱以及计算土地利用变化程度综合指数,对霍城县土地利用时空变化特征进行分析,得出以下结论:霍城县土地利用结构以草地、耕地和林地为主,三者占研究区总面积的80%以上;土地利用变化图谱以草地和耕地之间的相互转变为主,草地面积持续减少,耕地面积稳定增长;土地利用涨落势图谱中涨势最大的为耕地,落势最大的为草地;土地利用变化模式图谱以全期稳定型为主,其次为前期变化型,表明1997—2011年土地利用变化更为频繁,2011—2021年土地利用结构较稳定;1997—2011年霍城县土地利用程度降低,处于衰退期;2011—2021年霍城县土地利用程度明显提高。
Based on the Landsat images in 1997,2011,and 2021,the land use data were obtained by processing remote sensing images with MapGIS software,and the geoscience information map was constructed with ArcGIS software and the comprehensive index of land use change degree was calculated to analyze the temporal and spatial change characteristics of land use in Huocheng County.The following conclusions are drawn:the land use structure of Huocheng County was dominated by grassland,cultivated land and forest land,and the three accounted for more than 80%of the total area of the study area;the land use change map was dominated by the mutual transformation between grassland and cultivated land,and the grassland area continued decreased,and the area of cultivated land increased steadily;in the map of land use fluctuations,the largest increase was cultivated land,and the largest decrease was grassland;the map of land use change patterns was dominated by the stable type in the whole period,followed by the change type in the previous period,indicating the annual land use changed more frequently,and the land use structure was relatively stable from 2011 to 2021;from 1997 to 2011,the degree of land use in Huocheng County decreased,and it was in a recession period;from 2011 to 2021,the degree of land use in Huocheng County increased significantly.
作者
丁吉达
蒲智
鲁文蕊
DING Jida;PU Zhi;LU Wenrui(School of Computer and Information Engineering,Xinjiang Agricultural University,Urumqi 830052,China)
出处
《沈阳大学学报(自然科学版)》
CAS
2023年第5期380-387,共8页
Journal of Shenyang University:Natural Science
基金
国家自然科学基金资助项目(62161048)。
关键词
土地利用
地学信息图谱
时空变化
霍城县
遥感
land use
geo-information mapping
spatial and temporal changes
Huocheng County
remote sensing