Literature DB >> 32665744

Earth Observation-Based Ecosystem Services Indicators for National and Subnational Reporting of the Sustainable Development Goals.

Ferdouz Cochran1, Jessica Daniel2, Laura Jackson2, Anne Neale2.   

Abstract

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.

Entities:  

Keywords:  EnviroAtlas; Geospatial indicators; Green space; SDG; Sustainability

Year:  2020        PMID: 32665744      PMCID: PMC7359875          DOI: 10.1016/j.rse.2020.111796

Source DB:  PubMed          Journal:  Remote Sens Environ        ISSN: 0034-4257            Impact factor:   10.164


  7 in total

Review 1.  Increasing walking: how important is distance to, attractiveness, and size of public open space?

Authors:  Billie Giles-Corti; Melissa H Broomhall; Matthew Knuiman; Catherine Collins; Kate Douglas; Kevin Ng; Andrea Lange; Robert J Donovan
Journal:  Am J Prev Med       Date:  2005-02       Impact factor: 5.043

2.  Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD).

Authors:  James Wickham; Stephen V Stehman; Leila Gass; Jon A Dewitz; Daniel G Sorenson; Brian J Granneman; Richard V Poss; Lori A Baer
Journal:  Remote Sens Environ       Date:  2017       Impact factor: 10.164

3.  Priorities to Advance Monitoring of Ecosystem Services Using Earth Observation.

Authors:  Anna F Cord; Kate A Brauman; Rebecca Chaplin-Kramer; Andreas Huth; Guy Ziv; Ralf Seppelt
Journal:  Trends Ecol Evol       Date:  2017-04-12       Impact factor: 17.712

4.  Roadside Vegetation Design to Improve Local, Near-Road Air Quality.

Authors:  Richard Baldauf
Journal:  Transp Res D Transp Environ       Date:  2017-05-04       Impact factor: 5.495

5.  View through a window may influence recovery from surgery.

Authors:  R S Ulrich
Journal:  Science       Date:  1984-04-27       Impact factor: 47.728

Review 6.  Urban Green Space and Its Impact on Human Health.

Authors:  Michelle C Kondo; Jaime M Fluehr; Thomas McKeon; Charles C Branas
Journal:  Int J Environ Res Public Health       Date:  2018-03-03       Impact factor: 3.390

7.  S-maup: Statistical test to measure the sensitivity to the modifiable areal unit problem.

Authors:  Juan C Duque; Henry Laniado; Adriano Polo
Journal:  PLoS One       Date:  2018-11-27       Impact factor: 3.240

  7 in total
  1 in total

1.  Simulating the Impact of Future Climate Change and Ecological Restoration on Trade-Offs and Synergies of Ecosystem Services in Two Ecological Shelters and Three Belts in China.

Authors:  Liang-Jie Wang; Shuai Ma; Yong-Peng Qiao; Jin-Chi Zhang
Journal:  Int J Environ Res Public Health       Date:  2020-10-26       Impact factor: 3.390

  1 in total

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