How will building a sustainable ecosystem of citizen observatories help move citizen science into the mainstream? More
The project aims to develop annual global land cover maps with a 100m resolution consistent over time, and has been tracking land cover changes since 2015. More
The aim of the project is to support urban planners in decision making, by developing strategies and action plans for climate change adaptation and mitigation in small- to medium-sized cities in Austria. More
How can citizens and city authorities work together using crowdsourcing and mobile technology to create a reliable pluvial flood early warning system? More
This project is funded by the ERC Consolidator Grant. It assesses the potential of using crowdsourcing to close big data gaps of ground sourced data on land cover, land use and change. The project builds on the Geo-Wiki crowdsourcing tool and moves from an online environment to a mobile ground-based collection system. More
The LACO-Wiki project will integrate the current LACOVAL (LAnd Cover VALidation) software prototype for the validation of land cover maps with Geo-Wiki, a visualization and crowdsourcing tool. The result will be an open access on-line validation platform offering standardized validation functionality for map users and producers. More
The CrowdVal project has developed innovative tools for data collection by the crowd; these have been demonstrated in three African countries for in situ data collection as well as an online data collection exercise using visual interpretation, leading to the validation of the first 20 m land cover map of Africa. More
The SIGMA project provides EU support to the international GEOGLAM (Group on Earth Observations Global Agricultural Monitoring) initiative, which together will strengthen the international community’s capacity to produce and disseminate relevant, timely and accurate forecasts of agricultural production at national, regional and global scales using Earth Observation. More
The project’s goal was to develop methodologies and analytical tools to assess the economic, social and environmental effects of improved quantitative and qualitative information delivered by the Global Earth Observation System of Systems (GEOSS) for the nine benefit areas of GEO. More
LandSpotting aims to improve the quality of forest or cropland area land cover information by vastly increasing the amount of in-situ validation data available for calibration and validation of satellite-derived land cover. More
This project is funded by the Government of Norway’s International Climate and Forest Initiative (NORAD). It aims to build an independent alliance that can efficiently monitor forest governance in the DRC and to promote the conservation of natural forests to maintain their carbon storage capacity particularly in REDD+ areas. More
Last edited: 13 July 2021
Research Group Leader and Senior Research Scholar Novel Data Ecosystems for Sustainability Research Group - Advancing Systems Analysis Program
Senior Research Scholar Novel Data Ecosystems for Sustainability Research Group - Advancing Systems Analysis Program
Program Director and Principal Research Scholar Strategic Initiatives Program
Principal Research Scholar Novel Data Ecosystems for Sustainability Research Group - Advancing Systems Analysis Program
Johnson, D., See, L. , Oswald, S.M., Prokop, G., & Krisztin, T. (2021). A cost–benefit analysis of implementing urban heat island adaptation measures in small- and medium-sized cities in Austria. Environment and Planning B: Urban Analytics and City Science 48 (8), 2326-2345. 10.1177/2399808320974689.
Masiliūnas, D., Tsendbazar, N.-E., Herold, M., Lesiv, M. , Buchhorn, M., & Verbesselt, J. (2021). Global land characterisation using land cover fractions at 100 m resolution. Remote Sensing of Environment 259, e112409. 10.1016/j.rse.2021.112409.
Ferri, M., Wehn, U., See, L. , Monego, M., & Fritz, S. (2020). The value of citizen science for flood risk reduction: cost–benefit analysis of a citizen observatory in the Brenta-Bacchiglione catchment. Hydrology and Earth System Sciences 24 (12), 5781-5798. 10.5194/hess-24-5781-2020.
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