Cochran Ferdouz, Daniel Jessica, Jackson Laura, Neale Anne
Oak Ridge Institute for Science and Education, hosted by the US Environmental Protection Agency, Research Triangle Park, NC 27709, USA.
US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC 27709, USA.
Remote Sens Environ. 2020 Jul 1;244:1-111796. doi: 10.1016/j.rse.2020.111796.
Decision-making that impacts sustainability occurs at national and subnational levels, highlighting the need for multi-scale Earth observations (EO) and geospatial data for assessing the United Nations' Sustainable Development Goals (SDGs). EnviroAtlas, developed by the United States Environmental Protection Agency and partners, provides a collection of web-based, interactive maps of environmental and socio-economic data relevant to the SDGs. EnviroAtlas maps ecosystem services indicators at national, regional, and local extents that can contribute to targets set forth in numerous goals, such as SDG 6 for clean water, SDG 11 for sustainable cities and communities, and SDG 15 for life on land. Examples of EnviroAtlas indicators that provide a way to view spatial inequalities, help fill gaps in environmental indicators, and integrate socio-economic and environmental data for the SDGs are explored herein. Remotely sensed EO data are essential for producing these indicators and informing planning and decision-making for the SDGs at subnational scales. The National Land Cover Dataset is the basis for many EnviroAtlas maps at the national extent, while National Agriculture Imagery Program and Light Detection and Ranging (LiDAR) data are used to classify Meter-scale Urban Land Cover in select US metro areas. These 30 meter and 1 meter land cover products are combined with demographic and other geospatial data (remotely sensed and otherwise) to produce integrated indicators that can aid in target setting of the SDGs. Though EnviroAtlas was created for the conterminous US, the methods for indicator creation are transferable, and the open-source code for the EnviroAtlas resource may serve as an example for other nations. Achieving the SDGs means assessing targets and decision-making outcomes at local, regional, and national levels using consistent and accurate data. Geospatial resources like EnviroAtlas that provide open access to indicators based on EO data and allow for assessment at multiple extents and resolutions are critical to broadly addressing national to subnational SDG goals and targets.
影响可持续发展的决策在国家和国家以下各级进行,这凸显了利用多尺度地球观测(EO)和地理空间数据来评估联合国可持续发展目标(SDG)的必要性。由美国环境保护局及其合作伙伴开发的环境地图集(EnviroAtlas)提供了一系列基于网络的交互式地图,这些地图包含与可持续发展目标相关的环境和社会经济数据。环境地图集在国家、区域和地方层面绘制生态系统服务指标,这些指标有助于实现众多目标中设定的具体目标,如清洁水的可持续发展目标6、可持续城市和社区的可持续发展目标11以及陆地生物的可持续发展目标15。本文探讨了环境地图集指标的示例,这些指标提供了一种查看空间不平等、填补环境指标空白以及整合可持续发展目标的社会经济和环境数据的方式。遥感地球观测数据对于生成这些指标以及为国家以下尺度的可持续发展目标提供规划和决策信息至关重要。国家土地覆盖数据集是许多国家层面环境地图集地图的基础,而国家农业影像计划和光探测与测距(LiDAR)数据则用于对美国部分大都市地区的米级城市土地覆盖进行分类。这些30米和1米的土地覆盖产品与人口统计数据和其他地理空间数据(遥感数据及其他数据)相结合,以生成有助于设定可持续发展目标的综合指标。尽管环境地图集是为美国本土创建的,但指标创建方法具有可转移性,环境地图集资源的开源代码可为其他国家提供范例。实现可持续发展目标意味着使用一致且准确的数据在地方、区域和国家层面评估具体目标和决策结果。像环境地图集这样的地理空间资源,能够基于地球观测数据开放获取指标,并允许在多个范围和分辨率下进行评估,对于广泛实现国家到国家以下各级的可持续发展目标和具体目标至关重要。