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Data Details

UAV Imagery with Deep Learning Based Land Use Classification Dataset in Ciyutuo Village Practice


XU Yaotian1,2LI Jingzhong3XU Yueping1,2LI Hongqing1,4XUE Bing*1
1 Shenyang Institute of Applied Ecology，Chinese Academy of Sciences，Shenyang 110016，China2 University of Chinese Academy of Sciences，Beijing 100049，China3 College of Urban and Environmental Sciences，Xuchang University，Xuchang 461000，Henan，China4 Department of Circular Economy and Recycling Technology，Technical University of Berlin，Berlin 10623，Germany

DOI:10.3974/geodb.2024.06.10.V1

Published:Jun. 2024

Visitors：115       Data Files Downloaded：3      
Data Downloaded：20.55 MB      Citations：

Key Words：

human settlement,courtyard structure,UAV imagery,Ciyutuo Village,Deep Learning

Abstract：

The construction of human settlement family-courtyard structure dataset plays a key role in the refined identification rural spatial structure and the promotion of comprehensive rural revitalization. UAV Imagery with Deep Learning Based Land Use Classification Dataset in Ciyutuo Village Practice was developed using UAV imagery in September 2022 with deep learning and artificial visual interpretation methods on the QGIS and Geoscene Pro platform. The dataset includes: (1) courtyard distribution data, including residential courtyards, industrial courtyards and abandoned courtyards; (2) building distribution data, including farm buildings, industrial buildings and abandoned buildings; (3) vector data of roads and farmland in residential areas; (4) typical courtyard structure classification atlas. The dataset is archived in .shp and .tif formats, consisting of 65 data files, with data size of 8.97 MB (Compressed to 1 file with 6.84 MB). The article based on the dataset will be published at Journal of Global Change Data & Discovery, 2024.

Foundation Item：

Chinese Academy of Sciences (XDA28060302, XDA28090300); National Natural Science Foundation of China (41971166)

Data Citation：

XU Yaotian, LI Jingzhong, XU Yueping, LI Hongqing, XUE Bing*. UAV Imagery with Deep Learning Based Land Use Classification Dataset in Ciyutuo Village Practice[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.06.10.V1.

References：


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     [14] Xue, B., Zhao, B. Y., Xiao, X., et al. A POI data-based study on urban functional areas of the resources-based city: A case study of Benxi, Liaoning [J]. Human Geography, 2020, 35(4): 81-90.
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Data Product:

ID Data Name Data Size Operation
1 VillageCiyutuo_2022.rar 7014.83KB
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