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Spatial Scenes-Based Ecological Carrying Capacity Dataset for the Guangdong-Hong Kong-Macao Greater Bay Area (1990-2019)


WANG Mengdi1 TANG Yuzhi2SHI Tiezhu*1 LIU Qian3 YAN Fengqin4 LV Pin1 DENG Dongping1 ZHANG Zihong4 WANG Zhihua1 HU Zhongwen1 WU Guofeng1 SU Fenzhen4
1 MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong-Hong Kong-Macau Joint Laboratory for Smart Cities & State Key Laboratory of Subtropical Building and Urban Science,Shenzhen University,Shenzhen 518060,China2 Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen 518107,China3 Department of Land Surveying and Geomatics,The Hong Kong Polytechnic University,Hong Kong 999077,China4 State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China.

DOI:10.3974/geodb.2024.06.03.V1

Published:Jun. 2024

Visitors:340       Data Files Downloaded:10      
Data Downloaded:89.73 MB      Citations:

Key Words:

spatial scene,ecological carrying capacity,Guangdong-Hong Kong-Macao Greater Bay Area, coastal and maritime area

Abstract:

Taking Guangdong-Hong Kong-Macao Greater Bay Area as the study area, the authors obtained the spatial scene classification data based on the object-oriented method; coupled with the three-dimensional ecological footprint method and established the spatial scene-based ecological carrying capacity dataset of the coastal zone (1990-2019). The dataset includes: (1) spatial distribution data of the spatial scenes of coastline, coastal zone and sea area in four historical periods (1990, 2000, 2010 and 2019); (2) data of land-sea variation of spatial scenes in every 10 years; and (3) data of ecological carrying capacity and ecological footprint change of coastal zone and sea area from 1990 to 2019. The dataset is archived in .shp, .tif and .xlsx formats, and consists of 58 data files with data size of 2.75 GB (Compressed into one file with 8.97 MB). The data paper will be published at the Journal of Global Change Data & Discovery, Vol. 8, 2024.

Foundation Item:

National Natural Science Foundation of China (42306245, 41890854); Department of Science and Technology of Guangdong Province (2020B1212030009)

Data Citation:

WANG Mengdi, TANG Yuzhi, SHI Tiezhu*, LIU Qian, YAN Fengqin, LV Pin, DENG Dongping, ZHANG Zihong, WANG Zhihua, HU Zhongwen, WU Guofeng, SU Fenzhen. Spatial Scenes-Based Ecological Carrying Capacity Dataset for the Guangdong-Hong Kong-Macao Greater Bay Area (1990-2019)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.06.03.V1.

References:


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Data Product:

ID Data Name Data Size Operation
1 GBA_SSECC_1990_2019.rar 9188.07KB
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