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Quadrennial Series Dataset of Coastal Aquaculture Distribution of China Based on Landsat Images (1990-2022)


YIN Yumeng1ZHANG Yinghui*1HU Zhongwen1XU Yue2WANG Jingzhe3WANG Chen4SHI Tiezhu1WU Guofeng1
1 MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area,Shenzhen University,Shenzhen 518060,China2 College of Urban and Environmental Sciences,Central China Normal University,Wuhan 430079,China3 School of Artificial Intelligence,Shenzhen Polytechnic University,Shenzhen 518055,China4 Satellite Application Center for Ecology and Environment,Ministry of Ecology and Environment of P. R. China,Beijing 100094,China

DOI:10.3974/geodb.2023.09.01.V1

Published:Sep. 2023

Visitors:2722       Data Files Downloaded:342      
Data Downloaded:25881.02 MB      Citations:

Key Words:

China,aquaculture area,Landsat images,long time series

Abstract:

Based on the time series of Landsat images (1990-2022) from Google Earth Engine (GEE) cloud computing platform, the Quadrennial Series Dataset of Coastal Aquaculture Distribution of China Based on Landsat Images (1990-2022) was developed using a multi-featured method. The dataset covers the coastal region of China in 30 m, and is quadrennial from 1990 to 2022. The dataset is archived in .tif format, and consists of 99 data files with data size of 43.4 GB (Compressed to one file with 75.6 MB).Browse

Foundation Item:

Science, Technology and Innovation Commission of Shenzhen Municipality (JCYJ2022082018101617037); National Natural Science Foundation of China (42201347)

Data Citation:

YIN Yumeng, ZHANG Yinghui*, HU Zhongwen, XU Yue, WANG Jingzhe, WANG Chen, SHI Tiezhu, WU Guofeng.Quadrennial Series Dataset of Coastal Aquaculture Distribution of China Based on Landsat Images (1990-2022)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.09.01.V1.

YIN Yumeng, ZHANG Yinghui, HU Zhongwen, et al. Quadrennial series dataset of coastal aquaculture distribution of China based on Landsat images (1990-2022) [J]. Journal of Global Change Data & Discovery, 2023, 7(2): 215-224.

References:


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Data Product:

ID Data Name Data Size Operation
0Datapaper_CAP_MA_China_1990-2022.pdf449.00kbDownLoad
1 CAP_MA_China_1990_2022.rar 77491.72KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum