Big Earth Data for Global Environmental Sustainable Development Goals

Assessing progress towards the United Nations Sustainable Development Goals (SDGs) faces challenges such as incomplete, inaccurate, and non-comparable data, as well as limited spatial granularity. Big Earth Data offers a solution to these limitations by filling gaps in traditional data collection, improving timeliness, and enhancing spatial detail. It opens new opportunities for more effective global monitoring and evaluation of environment-related SDGs. This special session will focus on addressing the environment-related SDG indicator data gaps by utilizing global-scale environmental gridded data products. It will disscuss how to explore and analyze the current status, trends, and impacts of global environmental issues, with the objective of providing decision-making support and recommendations through scientific data analysis to advance the environment-related SDG including SDG 2 (Zero Hunger), SDG 6 (Clean Water and Sanitation), SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), SDG 14 (Life Below Water), and SDG 15 (Life on Land).