Big Earth Data in Support of SDG 11: Sustainable Cities and Communities
Rapid urbanisation worldwide and climate change bring various challenges for urban development, including social inequality, unbalanced economic development and inadequate environmental protection. The Sustainable Development Goal 11 (SDG 11) of the 2030 Agenda for Sustainable Development calls for "making cities and human settlements inclusive, safe, resilient and sustainable". The New Urban Agenda (NUA) aims to create conditions for a fundamental transformation of sustainable urban development patterns and implement SDG 11 indicator monitoring and evaluation.
Comprehensive and synthesized studies with multiple sourced data in urban environment, society, and sustainability are urgently needed. Comparing with the traditionally statistical techniques, new approaches involving the big earth data show great advantages in acquiring data for urban sustainability studies. Big earth data including geo-spatial data and remotely sensed data provide critical data sources for studying and improving coupled environmental, social, and economic systems to achieve urban sustainability. Therefore, big earth data has played important roles in monitoring urban infrastructure, disaster, air pollution, heat island effect and others, providing data products, algorithms and models for urban sustainable development research. This collection covers topics associated with the urban sustainability theories, data products, algorithms and models, indicator monitoring and evaluation, as well as comprehensive assessment of SDG 11.
Edited by
Dr. Zhongchang Sun(International Research Center of Big Data for Sustainable Development Goals (CBAS))
Prof. Qingrui Yue(Research Institute of Urbanization and Urban Safety, University of Science and Technology Beijing)
Prof. Dr. Dengsheng Lu(School of Geographical Sciences, Fujian Normal University)