摘要
大兴安岭地区为我国重点生态功能区,研究其土地利用变化对区域可持续发展及生态保护具有战略性意义。本研究选取大兴安岭地区1990年、2000年、2010年以及2018年的遥感影像,利用监督分类方法对研究区土地利用类型进行提取,通过土地利用动态度与土地利用转移矩阵对土地利用变化情况进行分析,并基于自然与社会经济数据研究其变化的驱动因素。结果表明,近30年来,林地与建设用地面积均呈增加趋势,各土地类型中,林地面积最大;自然、经济与政策因素是大兴安岭地区土地利用变化的主要驱动因素。
Greater Xing'an Mountains area is a key ecological functional area in China,and the study of its land use change is of strategic significance to regional sustainable development and ecological protection.In this study,the remote sensing images of 1990,2000,2010 and 2018 in Greater Xing'an Mountains area were selected,and the land use types in the study area were extracted by the method of supervised classification.The land use change was analyzed by land use dynamic attitude and land use transfer matrix,and the driving factors of land use change were studied based on natural and socio-economic data.The results show that the area of woodland and construction land has increased in the past 30 years,and among all land types,the area of woodland is the largest,and natural,economic and policy factors are the main driving factors of land use change in Greater Xing'an Mountains.
出处
《科技创新与应用》
2022年第12期63-69,75,共8页
Technology Innovation and Application
基金
黑龙江省大学生创新创业训练计划项目(202010231068)。
关键词
遥感
大兴安岭地区
土地利用变化
驱动力
remote sensing
Greater Xing'an Mountains
land use change
driving force
