Data for: Decision-making Analysis for Green Roof Layout and Functional Types with Optimal Expected Ecosystem Services Benefits in High-Density Cities: A Case Study in the Central City of Guangzhou, China.

Published: 6 January 2025| Version 2 | DOI: 10.17632/9wz95rynt2.2
Contributors:
Juqing Huang, Lei Xiao, Yue Pan, Bihui Xiang, Yixin Wu, Xinying Chen

Description

Data for: Decision-making Analysis for Green Roof Layout and Functional Types with Optimal Expected Ecosystem Services Benefits in High-Density Cities: A Case Study in the Central City of Guangzhou, China. We use multi-source spatial data from various websites to evaluate ecosystem services demand in the main city of Guangzhou, China. The data includes: (1)Carbon dioxide (CO₂) emissions. Source: https://edgar.jrc.ec.europa.eu/. Accessed July 25, 2024. (2)Precipitation. Source: http://www.geodata.cn. Accessed July 19, 2024. (3)Air Quality Index (AQI). Source: http://www.cnemc.cn/. Accessed July 28, 2024. (4)Landsat 8 and 9 satellite imagery (30m resolution). Source: https://www.usgs.gov/. Accessed July 24, 2024. (5)Digital Elevation Model (DEM). Source: https://www.gscloud.cn/. Accessed July 20, 2024. (6)Land cover (30m resolution). Source: http://globeland30.org/home.html. Accessed July 19, 2024. (7)Road vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024. (8)Building vector data. Source: https://lbsyun.baidu.com/products/map. Accessed January 8, 2024. (9)Population Density (100m resolution). Source: https://www.worldpop.org/. Accessed July 10, 2024. (10)POl vector data. Source: https://ditu.amap.com/. Accessed July 12, 2024.

Files

Categories

Mapping Ecosystem Services, Urban Landscape, Green Building, Health Infrastructure

Licence