The global Sustainable Development Goals (SDGs), adopted by the United Nations Member States in 2015, provide a shared blueprint for peace and prosperity for people and the planet, both now and into the future. The 2030 Agenda aims to strengthen the social, economic and environmental dimensions of sustainable development. It has been seven years since their adoption, and milestones have been specified for each goal, including poverty eradication, food security, good health and well-being, and inequality reduction.

Big Earth Data is big data in the field of earth science with spatial properties, which has one or more of the following characteristics: it is massive, multi-source, heterogeneous, multi-temporal, multi-dimensional, high complexity, non-smooth and unstructured. The comprehensive study of SDGs based on Big Earth Data can finely monitor, evaluate and model SDGs indicators, so as to systematically explore the spatio-temporal evolution characteristics and future development trends of SDGs indicators, which is important for testing the effectiveness of SDGs since their implementation and directing the subsequent implementation of related policies. This special issue welcomes papers on all aspects of SDGs implementation, which may focus on one goal or a subset of goals, or may include the entire SDGs, specifically SDG 2 (Zero Hunger), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), and SDG 15 (Life on land), exploring new frameworks and methodologies for effective assessment of sustainable development and providing scientific guidance for achieving the SDGs. Topics include but are not limited to:

• Single-goal monitoring and evaluation of SDG 2, SDG 11, SDG 15, among others.
• Spatio-temporal evolutionary characterization of individual goals such as SDG 2, SDG 11, or SDG 15.
• Modeling the future development of individual goals.
• Exploring the synergy and trade-offs among multiple SDGs goals and indicators.
• Study of the offsetting effects of the interactions among multiple SDGs goals and indicators.
• Analysis of spatial spillover effects of interactions among multiple SDGs goals and indicators.
• Innovations in modeling methods for the future development of SDGs.
• Scenario forecasting and development process assessment of SDGs.

Guest Editor:
Min Cao, School of Geography, Nanjing Normal University