Use of Remote Sensing to Derive Indicators for Sustainable Development Assessment in Urban Areas

Authors: Di Shi*, University of Kansas, Xiaojun Yang, Florida State University, Feilin Lai, Florida State University
Topics: Remote Sensing, China, Sustainability Science
Keywords: Sustainable Development Goals (SDGs), remote sensing, GIS-based spatial analysis, Chinese major cities
Session Type: Paper
Day: 4/3/2019
Start / End Time: 4:30 PM / 6:10 PM
Room: Jackson, Marriott, Mezzanine Level
Presentation File: No File Uploaded

The United Nations has recently finalized a set of indicators relating to newly defined global sustainable development goals (SDGs) aiming to end poverty, protect the planet, and ensure human-society prosperity. The SDG indicator framework can be used to assess the progress towards these goals. In this research, we explore the utilities of satellite remote sensing in deriving indicators to assess sustainable development goals targeting the terrestrial and environmental sustainable development process. Our work consists of several major components. First, we review relevant satellite remote sensing systems and their derived products that can be used to quantitatively derive SDG indicators, paying attention on several caveats when using remotely sensed data and related products in this aspect. Then, we derive a set of remote sensing-based indicators for all major cities in China and conduct quantitative analyses of the terrestrial and environmental suitability. Our results suggest a wide spatial variation in ecological sustainability among these major Chinese cities.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login