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Development of a global urban greenness indicator dataset for 1,000+ cities.

Authors :
Stowell JD
Ngo C
Jimenez MP
Kinney PL
James P
Source :
Data in brief [Data Brief] 2023 Jun; Vol. 48, pp. 109140. Date of Electronic Publication: 2023 Apr 11.
Publication Year :
2023

Abstract

Global climate change has sparked efforts to adapt to increasing temperatures, especially in urban areas that experience increased day and nighttime temperatures due to the urban heat island effect. The addition of greenspace has been suggested as a possible means for urban centers to respond to increasing urban temperatures. Thus, it is important for urban planning and policymakers to have access to data on greenspace specific at a fine spatial resolution. This dataset consists of information on peak and annual average 1 × 1 km Normalized Difference Vegetation Index (NDVI) for over 1,000 global urban centers, which is an objective satellite-based measure of vegetation. Population-weighted values for both peak and annual average NDVI and include an indicator of greenness, with seven levels ranging from extremely low to extremely high are provided. Additional information regarding the climate zone (using the Köppen-Geiger climate classification) and level of development (using the Human Development Index or HDI) for each city is included. Analyses were repeated in 2010, 2015, and 2020 to provide the ability to track urban greenness over time. Data are provided in tabular format with summaries presented in both tables and graphics. These data can be used to inform policy and planning and can be used as an indicator for a variety of climate and health investigations.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2023 The Author(s).)

Details

Language :
English
ISSN :
2352-3409
Volume :
48
Database :
MEDLINE
Journal :
Data in brief
Publication Type :
Academic Journal
Accession number :
37069950
Full Text :
https://doi.org/10.1016/j.dib.2023.109140