Center for Earth Observation & Citizen Science (EOCS)
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Many of the challenges we face in the coming decades are global, dynamic, and interlinked with socioeconomic issues - food security, climate change, natural hazards, inequality and more. EOCS is devising new approaches and technologies to apply earth observation to some of these challenges. With extensive experience in app design and development, and maintaining related spatial data infrastructure, we seek the benefits of combining citizen science with more traditional approaches to working with spatial information.
EOCS Events
New Citizen Science Campaign on Human Impact on Forests
IIASA researchers announce a new citizen science campaign on human impact on forests for improving forest management map... More
UN World Data Forum & Eye on Earth Symposium
IIASA researchers will join the citizen science delegation for the UN World Data Forum and Eye on Earth Symposium to adv... More
Demonstrating the Power of the Crowd
IIASA researcher presents recent work on the value of citizen science and crowdsourcing for humanitarian and social appl... More
Prototype land cover map of Africa: Great start but more accuracy needed
The latest land cover map of Africa has exceptionally high resolution, picking out features at just 20 m. However, its detail does not reflect its accuracy, which lies at 65%, IIASA researchers have discovered, not as high as many had hoped. More
Citizen science campaign to aid disaster response
For the next few weeks researchers are testing a new system to aid disaster damage mapping, providing much-needed real-time data to help communities recover and rebuild after disaster. More
PUBLICATIONS
Ren C, Cai M, Li X, Shi Y, & See L (2019). Developing a rapid method for 3-dimensional urban morphology extraction using open-source data. Sustainable Cities and Society: e101962. DOI:10.1016/j.scs.2019.101962. (In Press)
Lesiv M, See L, Mora B, Pietsch S, Fritz S, Bun H, Sendabo S, Kibuchi S, et al. (2019). Accuracy Assessment of the ESA CCI 20M Land Cover Map: Kenya, Gabon, Ivory Coast and South Africa. IIASA Working Paper. Laxenburg, Austria: WP-19-009
Schepaschenko D 
ORCID: https://orcid.org/0000-0002-7814-4990, Chave J, Phillips OL, Lewis SL, Davies SJ, Réjou-Méchain M, Sist P, Scipal K, et al. (2019). The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data 6 (1): e198. DOI:10.1038/s41597-019-0196-1.