Land Use Classification Dataset Covering XiAn‘s Suburban Area (2015)
HUANG Xiaojun1,2WANG Chen1HU Kaili1Wang Bo1
1 College of Urban and Environmental Sciences，Northwest University，XiAn 710127，China2 Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity，XiAn 710127，China
DOI:10.3974/geodb.2019.04.08.V1
Published:May 2019
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Key Words：
urban fringe area,land use,XiAn,Acta Geographica Sinica
Abstract：
The suburban area is a transitional region between urban built-up area and rural area. Due to the invasion of urban land, the most important features of urban fringe areas are mixed land use patterns and fragmented landscapes. Based on the Landsat TM images in 2015 and referring to the Google earth images, the boundary of suburban area in XiAn was defined according to the proportion of artificial surface, the proportion of cultivated land and the landscape pattern index in each block, then the land use classification dataset in XiAn’s suburban area in 2015 was developed. The dataset includes: (1) boundary data of XiAn suburban area; (2) land use classification data in the Xi’an suburban area, including artificial surface, farm land, forest land and the land type else. The dataset is archived in .shp data format, and consists of 14 data files with data size of 8.11 MB (Compressed to 4.78 MB in one single file). The analysis paper based on the dataset was published at Acta Geographica Sinica, Vol.73, No. 6, 2018.
Foundation Item：
National Natural Science Foundation of China (41401138)
Data Citation：
HUANG Xiaojun, WANG Chen, HU Kaili, Wang Bo.Land Use Classification Dataset Covering XiAn‘s Suburban Area (2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2019. https://doi.org/10.3974/geodb.2019.04.08.V1.
Wang, B., Huang, X. J., Wang, C., et al. Land use dataset of the sub-urban area in Xi’an (2015) [J]. Journal of Global Change Data & Discovery, 2019, 3(4): 382–386. DOI: 10.3974/geodp.2019.04.11.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
LU_UrbanFringe_XiAn.rar |
4898.51KB |
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