摘要
开展大湄公河次区域典型城市建设用地变化研究,对于推进城市化和区域可持续发展等具有重要意义。作者基于大湄公河次区域6个典型城市(西双版纳、仰光、万象、金边、曼谷和胡志明市)的Landsat TM/ETM+/OLI影像,采用面向对象的决策分类方法,提取城市建设用地;结合实地调查、历史文献、Google Earth高分辨率影像等,对分类结果进行了目视修正,最后得到大湄公河次区域6个典型城市建设用地空间分布数据集(1990-2015)。经验证,数据精度在81.73%以上。该数据集内容包括:西双版纳、仰光、万象、金边、曼谷和胡志明市6个城市在6个历史时期(1990、1995、2000、2005、2010和2015)的城市建设用地空间分布数据。数据空间分辨率为30 m。数据集存储为.tif格式,共180个文件,数据量4.10 MB(压缩为1个文件,2.49 MB)。
Studying the urban artificial surface dynamics of typical cities in the Greater Mekong Subregion is of great significance for promoting urbanization and regional sustainable development.An artificial surface dataset of urban changes in 6 cities(Xishuangbanna,Yangon,Vientiane,Phnom Penh,Bangkok and Ho Chi Minh city)in the Greater Mekong Subregion(1990–2015)was developed based on Landsat TM/ETM+/OLI images and an object-oriented decision classification procedure.The artificial surface data were validated using in situ data,historical literature,and Google Earth high-resolution images.The overall accuracy is above 81.73%.The dataset consists of data covering six time periods from 1990 to 2015(1990,1995,2000,2005,2010 and 2015)in 6 cities,including Xishuangbanna,Yangon,Vientiane,Phnom Penh,Bangkok and Ho Chi Minh city,with a spatial resolution of 30 m.It is archived in.tif format,with 180 files in total,and the data size is 4.10 MB(compressed to 1 file,2.49 MB).
作者
曹辉
宋伟轩
何江
Cao H.;Song W.X;He J.(Key Laboratory of Watershed Geographic Sciences,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China;School of Economics and Management,Anhui Agricultural University,Hefei 230036,China)
出处
《全球变化数据学报（中英文）》
CSCD
2023年第1期33-39,V0033-V0039,共14页
Journal of Global Change Data & Discovery
基金
国家自然科学基金(41561144012)。
