IRDR Host Institution among global top-10 UN Big Data Climate Challenge winners

The United Nations (UN) announced the winners of the “Big Data Climate Challenge” today, revealing that a project titled “Big Earth Observation Data for Climate Change Research” by the Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), was selected for “Projects to Watch”, projects designed to highlight particularly innovative uses of big data in emerging topics and geographic regions. Among the seven “Projects to Watch” in this competition, the RADI project was the only one from China. RADI, CAS currently serves as the institution hosting the Integrated Research on Disaster Risk, International Programme Office (IRDR IPO) in Beijing, China.

The Big Data Climate Challenge is a global competition hosted by United Nations Global Pulse, an initiative of the Secretary-General on big data. The Challenge was launched in May 2014 to unearth fresh evidence of the economic dimensions of climate change around the world using data and analytics. Submissions were received from 40 countries, representing more than 20 topics from forestry, biodiversity and transportation to renewable energy and green data centers.

WinnersAnnounced_2Two overall Big Data Climate Challenge winners and seven “Projects to Watch” were selected by a high-level Advisory Board and Technical Committee of global experts in climate science, sustainable development and big data. Both of the Big Data Climate Challenge Winners and the “Projects to Watch” will be featured on the UN Climate Summit website.

“Big Earth Observation Data for Climate Change Research” originated from a National Basic Research Program of China (973 Program) project titled “Earth Observation for Sensitive Factors of Global Change: Mechanisms and Methodologies” (2008—2013), which was undertaken by RADI in partnership with other Chinese institutes and universities. Prof. GUO Huadong from RADI serves as the chief scientist for this project.

Based on huge and abundant datasets obtained from four synchronous satellite-aerial-ground observation experiments on the Tibetan Plateau and the Bohai Rim of China, the project aims to explore new theories, technologies and methods for climate change studies through Earth observation data; develop an assimilation model using multi-source heterogeneous spatial data; acquire characteristics of the sensitive factors of climate change; develop a simulation platform for regional climate change studies; and conduct conceptual research on global change scientific satellites and observation stations on the Moon.

The experiment has reaped fruitful results. The datasets obtained from the experiments contribute to national policy-making in climate change and sustainable development. The project also led to the publication of 443 research papers, among which 202 are SCI indexed and many widely cited. Six articles were especially cited by the IPCC 5th Assessment Report and made academic contributions to climate change research.

Below are the full list of Big Data Climate Challenge Winners:

Big Data Climate Challenge Winners:

“Projects to Watch”:

Source: RADI/CAS and United Nations Global Pulse