A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities

Author:

Xi YanxinORCID,Liu YuORCID,Li TongORCID,Ding JingtaoORCID,Zhang YunkeORCID,Tarkoma SasuORCID,Li YongORCID,Hui PanORCID

Abstract

AbstractCities play an important role in achieving sustainable development goals (SDGs) to promote economic growth and meet social needs. Especially satellite imagery is a potential data source for studying sustainable urban development. However, a comprehensive dataset in the United States (U.S.) covering multiple cities, multiple years, multiple scales, and multiple indicators for SDG monitoring is lacking. To support the research on SDGs in U.S. cities, we develop a satellite imagery dataset using deep learning models for five SDGs containing 25 sustainable development indicators. The proposed dataset covers the 100 most populated U.S. cities and corresponding Census Block Groups from 2014 to 2023. Specifically, we collect satellite imagery and identify objects with state-of-the-art object detection and semantic segmentation models to observe cities’ bird’s-eye view. We further gather population, nighttime light, survey, and built environment data to depict SDGs regarding poverty, health, education, inequality, and living environment. We anticipate the dataset to help urban policymakers and researchers to advance SDGs-related studies, especially applying satellite imagery to monitor long-term and multi-scale SDGs in cities.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference88 articles.

1. The World Bank. Urban development. https://www.worldbank.org/en/topic/urbandevelopment/overview (2022).

2. United Nations Department of Economic and Social Affairs. World urbanization prospects: The 2018 revision. https://www.un-ilibrary.org/content/books/9789210043144 (2019).

3. United Nations. Transforming our world: The 2030 agenda for sustainable development. https://sdgs.un.org/publications/transforming-our-world-2030-agenda-sustainable-development-17981 (2015).

4. Alainna Lynch and Jeffrey Sachs. The United States Sustainable Development Report 2021. https://us-states.sdgindex.org/ (2021).

5. Prakash, M. The U.S. Cities Sustainable Development Goals Index 2017. https://www.sdgindex.org/reports/2017-u.s.-cities-sdg-index/ (2017).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3