北京测绘2026，Vol.40Issue(9)：1260-1266,7.DOI:10.19580/j.cnki.1007-3000.2025100016
基于遥感智能解译的土地利用时空变化及驱动因素分析
Spatiotemporal changes and driving factors of land use based on intelligent remote sensing interpretation
摘要
Abstract
Land use change is the most direct and pronounced manifestation of human activities to change the earth's sur-face,and it can intuitively reflect the evolving trends of urban development,urban-rural relations,and ecological environ-ment.This paper used the intelligent remote sensing interpretation algorithm production and application platform(SRL)to extract the current land use data in Heyuan City from 2014 to 2022.Building on this dataset,methods including the land use transfer matrix,land use dynamic degree,and driving factor analysis were applied to study the spatiotemporal variation trends of land use in Heyuan City over the past eight years.The results are as follows.① The retention rates of individual land use categories from 2014 to 2022 rank in descending order as:forest land(persistence rate 97.89%),cultivated land(persistence rate 91.71%),grassland(persistence rate 91.23%),water(persistence rate 84.12%),urban land(persistence rate 82.87%),open forest land(persistence rate 71.84%),rural areas(persistence rate 52.13%),sandy land(persistence rate 49.42%).② Open-forest land was extensively converted to forest land,marking that forest quality improvement and ecological restoration in Heyuan have entered a new stage.③ Policy drivers constitute the core dominant force shaping the evolution of land use patterns in Heyuan City.④ The rapid expansion of urban land is not directly driven by population growth,but is instead primarily the result of the transformation of the economic development model,the upgrading of indus-trial structure,and advanced infrastructure layout.These research results are intended to provide data reference for the territo-rial spatial planning and sustainable development of Heyuan City.关键词
智能解译/土地利用变化/驱动因素/土地转移矩阵Key words
intelligent interpretation/land use change/driving factor/land use transfer matrix分类
天文与地球科学引用本文复制引用
王崔鹏,赵瑞娟..基于遥感智能解译的土地利用时空变化及驱动因素分析[J].北京测绘,2026,40(9):1260-1266,7.基金项目
自然资源部部省合作项目(2023ZRBSHZ015 （）
2024ZRBSHZ035) （）
