基于Sentinel-2影像的雄安新区2016—2019年土地利用分析  被引量:3

Analysis of land use change in Xiong’an New Area from 2016 to 2019 based on the Sentinel-2 images

在线阅读下载全文

作  者:于淼 马洪兵[2] 王宏伟[3] YU Miao;MA Hongbing;WANG Hongwei(Xinjiang University,Urumqi 830047,China;Tsinghua University,Beijing 100084,China;Dalian University of Technology,Dalian 116024,China)

机构地区:[1]新疆大学,新疆乌鲁木齐830047 [2]清华大学,北京100084 [3]大连理工大学,辽宁大连116024

出  处:《测绘通报》2021年第12期6-9,32,共5页Bulletin of Surveying and Mapping

基  金:国家自然科学基金(61863034)。

摘  要:雄安新区是国家层面打造的又一个具有重要战略意义的新区,及时准确掌握该地区的土地利用详情具有重要意义。本文利用10 m分辨率的Sentinel-2影像对雄安新区2016—2019年的土地利用进行分类,进而分析该地区的土地利用时空演变。共测试了决策树、随机森林和支持向量机3种分类器,进而获得最高精度的土地分类结果图;同时,利用随机森林的特征排序功能分析了不同特征的重要性。结果表明,雄安新区的耕地、林地、水生植物面积总体均呈显著减少趋势,建设用地面积变化最为显著,表明雄安新区正在进行中、快速的城市化发展。本研究得到的10 m分辨率土地利用专题图和分析结果对于雄安新区的及时监测与规划有着重要参考意义。The Xiong’an New Area is another strategically important new area established at the national level. It is of great significance to grasp the details of land use in this area. In this study, the 10 m Sentinel-2 images were used to classify the land use from 2016 to 2019, and the spatio-temporal land use changes were then analyzed. This study first tested three popular classifiers including decision tree, random forest, and support vector machine to obtain the highest-accuracy land use map. Meanwhile, the importance of different features was analyzed. The results showed that in Xiong’an New Area, the land use types and areas have undergone significant changes. Among them, the area of arable land, woodland, and aquatic plants all showed a significant reduction trend, and the area of construction land has increased a lot, indicating that the Xiong’an New Area was undergoing rapid urbanization. The 10 m land use maps obtained in this study have important reference significance for the timely monitoring and planning of Xiong’an New Area.

关 键 词:土地变化 遥感 Sentinel-2 雄安新区 

分 类 号:P237[天文地球—摄影测量与遥感]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象