A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap

Yang Ju; Iryna Dronova; Xavier Delclòs-Alió

doi:10.1038/s41597-022-01701-y

A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap

Sci Data. 2022 Sep 24;9(1):586. doi: 10.1038/s41597-022-01701-y.

Authors

Yang Ju¹, Iryna Dronova^{2

3}, Xavier Delclòs-Alió⁴

Affiliations

¹ School of Architecture and Urban Planning, Nanjing University, Nanjing, China. yangju90@nju.edu.cn.
² Department of Environmental Science, Policy, and Management, University of California, Berkeley, USA.
³ Department of Landscape Architecture and Environmental Planning, University of California, Berkeley, USA.
⁴ Department of Geography, Universitat Rovira i Virgili, Vila-seca, Spain.

Abstract

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.

Abstract

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