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...
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universitat Rovira i virgili (URV) |
| Repositorio: | Repositori Institucional de la Universitat Rovira i Virgili |
| OAI Identifier: | oai:dnet:repositoriin::fa6057fb387210cfb9ba7ff767ec7c33 |
| Acesso em linha: | https://hdl.handle.net/20.500.11797/imarina9282452 |
| Access Level: | acceso abierto |
| Palavra-chave: | Computer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and Uncertainty Classification Land Metaanalysis Administração pública e de empresas, ciências contábeis e turismo Ciências ambientais Ciencias humanas Ciencias sociales Computer science applications Education Information systems Library and information sciences Multidisciplinary sciences Statistics and probability Statistics, probability and uncertainty |
| Resumo: | 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. |
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