Abstract:Climate change is becoming a major threat to human sustainable development in the coming decades. How to accurately and real-time monitor extreme weather events and disasters, and provide strong data and scientific support for climate change and disaster prevention and control, has become an urgent major scientific issue and decision-making proposition. The Sustainable Development Goals (SDGs) 13 Climate Action is to alleviate the threat of climate change and enhance human adaptation through the actions of countries. However, indicators of climate action lack the support of spatial data and information. The Big Earth Data is highly collaborative and integrated, which is conducive to reducing the uncertainty of research and assessment results. At the same time, it also reflects the urgent demand of climate change and disaster risk research for scientific data. This study focuses on the two major themes of mitigation of the impact of climate change related disasters and the reduction of greenhouse gas emissions. Through the Big Earth Data platform, the work studies the methods of obtaining the spatial distribution of disasters and the trend of carbon budget change through the comprehensive multi-source data, and obtains the data sets with spatial information to support the SDG 13 Climate Action, providing decision support for disaster reduction and emission reduction.