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Artificial Surface Dataset of Urban Changes in 6 Cities in the Greater Mekong Subregion (1990-2015)


CAO Hui1SONG Weixuan*1HE Jiang2
1 Key Laboratory of Watershed Geographic Sciences,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China2 School of Economics and Management,Anhui Agricultural University,Hefei 230036,China

DOI:10.3974/geodb.2023.02.04.V1

Published:Feb. 2023

Visitors:5019       Data Files Downloaded:292      
Data Downloaded:728.42 MB      Citations:

Key Words:

Greater Mekong Subregion,Landsat,urban artificial surface,decision classification,1990-2015

Abstract:

The artificial surface dataset of urban changes in six 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 object-oriented decision classification procedure. The artificial surface data was validated using in situ data, historical literatures, and Google Earth high resolution images. The dataset consists the data covering six time periods from 1990 to 2015 (1990, 1995, 2000, 2005, 2010 and 2015) in the six cities, including Xishuangbanna, Yangon, Vientiane, Phnom Penh, Bangkok and Ho Chi Minh City. The spatial resolution is 30 m. The dataset is archived in .tif format, and consists of 180 data files with data size of 4.10 MB (compressed to one file with 2.49 MB).Browse

Foundation Item:

National Natural Science Foundation of China (41561144012)

Data Citation:

CAO Hui, SONG Weixuan*, HE Jiang. Artificial Surface Dataset of Urban Changes in 6 Cities in the Greater Mekong Subregion (1990-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.02.04.V1.

CAO Hui, SONG Weixuan, HE Jiang. Artificial surface dataset of urban changes in 6 cities in GMS (1990-2015) [J]. Journal of Global Change Data & Discovery, 2023, 7(1): 33-39.

References:

[1] Cao, H., Liu, J., Chen, J. L., et al. Spatiotemporal patterns of urban land use change in typical cities in the Greater Mekong Subregion (GMS) [J]. Remote Sensing, 2019, 11(7): 801-828.
     [2] Rao, B. Z. The analysis of the centralized urbanization in Southeast Asia [J]. Urban Problems, 2004(5): 69-71.
     [3] Wang, Y., Zhang, H. O., Huang, G. Z., et al. Different Characteristics and Driving Factors of the Comprehensive Urbanization Levels of Countries in Southeast Asia [J]. Tropical Geography, 2015, 35(5): 680-686.
     [4] Song, W. X., Zhu, X. G. Characteristics and Causes of the Urban Spatial Structure in Greater Mekong Subregion [J]. Economic Geography, 2010, 30(1): 53-58.
     [5] Cao, H., Chen, J. L., Chen, C., et al. Identification of multi-temporal urban growth patterns with a modified urban growth index: Case study of three fast growing cities in the Greater Mekong Subregion (GMS) [J]. Ecological Indicators, 2022, 142: 109206.
     

Data Product:

ID Data Name Data Size Operation
0Datapaper_GMS_ArtificialSurface_1990-2015.pdf488.00kbDownLoad
1 GMS_ArtificialSurface_1990-2015.rar 2554.46KB
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