中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analysis of Land Use Change and Driving Mechanisms in Vietnam during the Period 2000-2020

文献类型:期刊论文

作者Guo, Xuan1,2; Ye, Junzhi1; Hu, Yunfeng1,2
刊名REMOTE SENSING
出版日期2022-04-01
卷号14期号:7页码:17
关键词spatial pattern dynamic change driving mechanisms random forest regional development time-series analysis remote sensing
DOI10.3390/rs14071600
通讯作者Hu, Yunfeng(huyf@lreis.ac.cn)
英文摘要High-accuracy, long-time-series and large-scale land classification mapping are essential for assessing the evolutionary patterns of land systems and developing sustainability studies. In this paper, using Google Earth Engine (GEE) and Landsat satellite remote sensing images, based on the Random Forest (RF) algorithm, we carried out remote sensing classification to obtain a year-by-year land use/cover data set in Vietnam over the past 21 years (2000-2020). Further applying principal component analysis and multiple linear regression methods, we examined the spatio-temporal characteristics, dynamic changes and driving mechanisms of land use change. The results show the following: (1) The RF classification algorithm supported by the GEE can quickly and accurately obtain a land use/cover data set. The overall classification accuracy is 0.91 +/- 0.01. (2) The land cover types in Vietnam are dominated by woodland and cropland, with an area share of 54.62% and 37.90%, respectively. In the past 20 years, the area of built-up land has increased the most (+93.49%), followed by the area of water bodies (+54.19%), while the area of woodland has remained almost unchanged. (3) The expansion of built-up land is driven by regional economic development; the area changes in cropland, water bodies and woodland are influenced by both national economic development and climate change. The results of the study provide a basis for assessing land use policies in Vietnam and a reference methodological framework for rapid land mapping and analysis in other countries in the China-Indochina Peninsula.
WOS关键词COVER CLASSIFICATION ; CA MAU ; REGION ; ACCURACY ; DYNAMICS ; IMPACTS ; AREA
资助项目National Natural Science Foundation of China[42130508] ; National Natural Science Foundation of China[41977421] ; National Key Research and Development Program of China[2021YFD1300501] ; National Key Research and Development Program of China[2016YFB0501502] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040301] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20010202] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100200]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000781317700001
出版者MDPI
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/173879]  
专题中国科学院地理科学与资源研究所
通讯作者Hu, Yunfeng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Guo, Xuan,Ye, Junzhi,Hu, Yunfeng. Analysis of Land Use Change and Driving Mechanisms in Vietnam during the Period 2000-2020[J]. REMOTE SENSING,2022,14(7):17.
APA Guo, Xuan,Ye, Junzhi,&Hu, Yunfeng.(2022).Analysis of Land Use Change and Driving Mechanisms in Vietnam during the Period 2000-2020.REMOTE SENSING,14(7),17.
MLA Guo, Xuan,et al."Analysis of Land Use Change and Driving Mechanisms in Vietnam during the Period 2000-2020".REMOTE SENSING 14.7(2022):17.

入库方式: OAI收割

来源:地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。