Tracking Progress Toward Urban Nature Targets Using Landcover and Vegetation Indices: A Global Study for the 96 C40 Cities

IF 4.3 2区 医学 Q2 ENVIRONMENTAL SCIENCES
Geohealth Pub Date : 2024-02-26 DOI:10.1029/2023GH000996
Greta K. Martin, Katelyn O’Dell, Patrick L. Kinney, Marcia Pescador-Jimenez, David Rojas-Rueda, Robert Canales, Susan C. Anenberg
{"title":"Tracking Progress Toward Urban Nature Targets Using Landcover and Vegetation Indices: A Global Study for the 96 C40 Cities","authors":"Greta K. Martin,&nbsp;Katelyn O’Dell,&nbsp;Patrick L. Kinney,&nbsp;Marcia Pescador-Jimenez,&nbsp;David Rojas-Rueda,&nbsp;Robert Canales,&nbsp;Susan C. Anenberg","doi":"10.1029/2023GH000996","DOIUrl":null,"url":null,"abstract":"<p>Access to urban natural space, including blue and greenspace, is associated with improved health. In 2021, the C40 Cities Climate Leadership Group set 2030 Urban Nature Declaration (UND) targets: “Quality Total Cover” (30% green area within each city) and “Equitable Spatial Distribution” (70% of the population living close to natural space). We evaluate progress toward these targets in the 96 C40 cities using globally available, high-resolution data sets for landcover and normalized difference vegetation index (NDVI). We use the European Space Agency (ESA)'s WorldCover data set to define greenspace with discrete landcover categories and ESA's Sentinel-2A to calculate NDVI, adding the “open water” landcover category to characterize total natural space. We compare 2020 levels of urban green and natural space to the two UND targets and predict the city-specific NDVI level consistent with the UND targets using linear regressions. The 96-city mean NDVI was 0.538 (range: 0.148, 0.739). Most (80%) cities meet the Quality Total Cover target, and nearly half (47%) meet the Equitable Spatial Distribution target. Landcover-measured greenspace and total natural space were strong (mean <i>R</i><sup>2</sup> = 0.826) and moderate (mean <i>R</i><sup>2</sup> = 0.597) predictors of NDVI and our NDVI-based natural space proximity measure, respectively. The 96-city mean predicted NDVI value of meeting the UND targets was 0.478 (range: 0.352–0.565) for Quality Total Cover and 0.660 (range: 0.498–0.767) for Equitable Spatial Distribution. Our translation of the area- and access-based metrics common in urban natural space targets into the NDVI metric used in epidemiology allows for quantifying the health benefits of achieving such targets.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 3","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023GH000996","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geohealth","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2023GH000996","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Access to urban natural space, including blue and greenspace, is associated with improved health. In 2021, the C40 Cities Climate Leadership Group set 2030 Urban Nature Declaration (UND) targets: “Quality Total Cover” (30% green area within each city) and “Equitable Spatial Distribution” (70% of the population living close to natural space). We evaluate progress toward these targets in the 96 C40 cities using globally available, high-resolution data sets for landcover and normalized difference vegetation index (NDVI). We use the European Space Agency (ESA)'s WorldCover data set to define greenspace with discrete landcover categories and ESA's Sentinel-2A to calculate NDVI, adding the “open water” landcover category to characterize total natural space. We compare 2020 levels of urban green and natural space to the two UND targets and predict the city-specific NDVI level consistent with the UND targets using linear regressions. The 96-city mean NDVI was 0.538 (range: 0.148, 0.739). Most (80%) cities meet the Quality Total Cover target, and nearly half (47%) meet the Equitable Spatial Distribution target. Landcover-measured greenspace and total natural space were strong (mean R2 = 0.826) and moderate (mean R2 = 0.597) predictors of NDVI and our NDVI-based natural space proximity measure, respectively. The 96-city mean predicted NDVI value of meeting the UND targets was 0.478 (range: 0.352–0.565) for Quality Total Cover and 0.660 (range: 0.498–0.767) for Equitable Spatial Distribution. Our translation of the area- and access-based metrics common in urban natural space targets into the NDVI metric used in epidemiology allows for quantifying the health benefits of achieving such targets.

Abstract Image

利用土地覆盖物和植被指数跟踪城市自然目标的进展情况:针对 96 个 C40 城市的全球研究
城市自然空间(包括蓝色和绿色空间)的使用与健康状况的改善息息相关。2021 年,C40 城市气候领导小组制定了 2030 年城市自然宣言(UND)目标:"优质全覆盖"(每个城市 30% 的绿化面积)和 "公平空间分布"(70% 的人口居住在自然空间附近)。我们利用全球可用的高分辨率土地覆盖和归一化差异植被指数 (NDVI) 数据集,评估了 96 个 C40 城市在实现这些目标方面的进展。我们使用欧洲航天局(ESA)的 WorldCover 数据集,以离散的地表覆盖类别来定义绿地,并使用欧空局的 Sentinel-2A 来计算归一化植被指数,同时增加 "开放水域 "地表覆盖类别来描述总的自然空间。我们将 2020 年的城市绿地和自然空间水平与联合国发展计划的两个目标进行了比较,并使用线性回归法预测了与联合国发展计划目标一致的特定城市 NDVI 水平。96 个城市的 NDVI 平均值为 0.538(范围:0.148, 0.739)。大多数城市(80%)达到了优质总覆盖目标,近一半城市(47%)达到了公平空间分布目标。地表覆盖测量的绿地和自然空间总量分别对 NDVI 和基于 NDVI 的自然空间接近度测量具有较强的预测作用(平均 R2 = 0.826)和中等的预测作用(平均 R2 = 0.597)。达到联合国发展目标的 96 个城市的平均预测 NDVI 值为:优质总覆盖为 0.478(范围:0.352-0.565),公平空间分布为 0.660(范围:0.498-0.767)。我们将城市自然空间目标中常见的基于面积和利用率的指标转化为流行病学中使用的 NDVI 指标,从而可以量化实现这些目标所带来的健康益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Geohealth
Geohealth Environmental Science-Pollution
CiteScore
6.80
自引率
6.20%
发文量
124
审稿时长
19 weeks
期刊介绍: GeoHealth will publish original research, reviews, policy discussions, and commentaries that cover the growing science on the interface among the Earth, atmospheric, oceans and environmental sciences, ecology, and the agricultural and health sciences. The journal will cover a wide variety of global and local issues including the impacts of climate change on human, agricultural, and ecosystem health, air and water pollution, environmental persistence of herbicides and pesticides, radiation and health, geomedicine, and the health effects of disasters. Many of these topics and others are of critical importance in the developing world and all require bringing together leading research across multiple disciplines.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信