Cargando…
A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
Mapping is fundamental to studies on urban green space (UGS). Despite a growing archive of land cover maps (where UGS is included) at global and regional scales, mapping efforts dedicated to UGS are still limited. As UGS is often a part of the heterogenous urban landscape, low-resolution land cover...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509366/ https://www.ncbi.nlm.nih.gov/pubmed/36153342 http://dx.doi.org/10.1038/s41597-022-01701-y |
_version_ | 1784797225245736960 |
---|---|
author | Ju, Yang Dronova, Iryna Delclòs-Alió, Xavier |
author_facet | Ju, Yang Dronova, Iryna Delclòs-Alió, Xavier |
author_sort | Ju, Yang |
collection | PubMed |
description | Mapping is fundamental to studies on urban green space (UGS). Despite a growing archive of land cover maps (where UGS is included) at global and regional scales, mapping efforts dedicated to UGS are still limited. As UGS is often a part of the heterogenous urban landscape, low-resolution land cover maps from remote sensing images tend to confuse UGS with other land covers. Here we produced the first 10 m resolution UGS map for the main urban clusters across 371 major Latin American cities as of 2017. Our approach applied a supervised classification of Sentinel-2 satellite images and UGS samples derived from OpenStreetMap (OSM). The overall accuracy of this UGS map in 11 randomly selected cities was 0.87. We further improved mapping quality through a visual inspection and additional quality control of the samples. The resulting UGS map enables studies to measure area, spatial configuration, and human exposures to UGS, facilitating studies on the relationship between UGS and human exposures to environmental hazards, public health outcomes, urban ecology, and urban planning. |
format | Online Article Text |
id | pubmed-9509366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95093662022-09-26 A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap Ju, Yang Dronova, Iryna Delclòs-Alió, Xavier Sci Data Data Descriptor Mapping is fundamental to studies on urban green space (UGS). Despite a growing archive of land cover maps (where UGS is included) at global and regional scales, mapping efforts dedicated to UGS are still limited. As UGS is often a part of the heterogenous urban landscape, low-resolution land cover maps from remote sensing images tend to confuse UGS with other land covers. Here we produced the first 10 m resolution UGS map for the main urban clusters across 371 major Latin American cities as of 2017. Our approach applied a supervised classification of Sentinel-2 satellite images and UGS samples derived from OpenStreetMap (OSM). The overall accuracy of this UGS map in 11 randomly selected cities was 0.87. We further improved mapping quality through a visual inspection and additional quality control of the samples. The resulting UGS map enables studies to measure area, spatial configuration, and human exposures to UGS, facilitating studies on the relationship between UGS and human exposures to environmental hazards, public health outcomes, urban ecology, and urban planning. Nature Publishing Group UK 2022-09-24 /pmc/articles/PMC9509366/ /pubmed/36153342 http://dx.doi.org/10.1038/s41597-022-01701-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Ju, Yang Dronova, Iryna Delclòs-Alió, Xavier A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap |
title | A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap |
title_full | A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap |
title_fullStr | A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap |
title_full_unstemmed | A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap |
title_short | A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap |
title_sort | 10 m resolution urban green space map for major latin american cities from sentinel-2 remote sensing images and openstreetmap |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509366/ https://www.ncbi.nlm.nih.gov/pubmed/36153342 http://dx.doi.org/10.1038/s41597-022-01701-y |
work_keys_str_mv | AT juyang a10mresolutionurbangreenspacemapformajorlatinamericancitiesfromsentinel2remotesensingimagesandopenstreetmap AT dronovairyna a10mresolutionurbangreenspacemapformajorlatinamericancitiesfromsentinel2remotesensingimagesandopenstreetmap AT delclosalioxavier a10mresolutionurbangreenspacemapformajorlatinamericancitiesfromsentinel2remotesensingimagesandopenstreetmap AT juyang 10mresolutionurbangreenspacemapformajorlatinamericancitiesfromsentinel2remotesensingimagesandopenstreetmap AT dronovairyna 10mresolutionurbangreenspacemapformajorlatinamericancitiesfromsentinel2remotesensingimagesandopenstreetmap AT delclosalioxavier 10mresolutionurbangreenspacemapformajorlatinamericancitiesfromsentinel2remotesensingimagesandopenstreetmap |