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

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 inc...

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Autores principales: Stowell, Jennifer D., Ngo, Catherine, Jimenez, Marcia Pescador, Kinney, Patrick L., James, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088350/
https://www.ncbi.nlm.nih.gov/pubmed/37069950
http://dx.doi.org/10.1016/j.dib.2023.109140
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author Stowell, Jennifer D.
Ngo, Catherine
Jimenez, Marcia Pescador
Kinney, Patrick L.
James, Peter
author_facet Stowell, Jennifer D.
Ngo, Catherine
Jimenez, Marcia Pescador
Kinney, Patrick L.
James, Peter
author_sort Stowell, Jennifer D.
collection PubMed
description 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.
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spelling pubmed-100883502023-04-12 Development of a global urban greenness indicator dataset for 1,000+ cities Stowell, Jennifer D. Ngo, Catherine Jimenez, Marcia Pescador Kinney, Patrick L. James, Peter Data Brief Data Article 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. Elsevier 2023-04-11 /pmc/articles/PMC10088350/ /pubmed/37069950 http://dx.doi.org/10.1016/j.dib.2023.109140 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Stowell, Jennifer D.
Ngo, Catherine
Jimenez, Marcia Pescador
Kinney, Patrick L.
James, Peter
Development of a global urban greenness indicator dataset for 1,000+ cities
title Development of a global urban greenness indicator dataset for 1,000+ cities
title_full Development of a global urban greenness indicator dataset for 1,000+ cities
title_fullStr Development of a global urban greenness indicator dataset for 1,000+ cities
title_full_unstemmed Development of a global urban greenness indicator dataset for 1,000+ cities
title_short Development of a global urban greenness indicator dataset for 1,000+ cities
title_sort development of a global urban greenness indicator dataset for 1,000+ cities
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088350/
https://www.ncbi.nlm.nih.gov/pubmed/37069950
http://dx.doi.org/10.1016/j.dib.2023.109140
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