The role of citizen science in research is expanding, which often raises concerns about data quality. Recently, the Geo-Wiki team at the International Institute for Applied Systems Analysis (IIASA) has implemented two citizen science projects (e.g. FotoQuest Austria, Cropland Validation) focused on improving land use and land cover monitoring. In these projects, the team designed specific measures to enhance the quality of data provided by volunteers and in turn these citizen-driven results have led to peer-reviewed publications in key journals (e.g. Remote Sensing, Nature’s Scientific Data). As such, in this paper, we describe our methodology to improve data quality in citizen science projects and provide a series of recommendations on pro...
20 pages, 3 figures, 4 tables, supplementary information https://doi.org/10.1038/s43586-022-00144-4C...
Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observ...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observ...
Issues related to the evolving role of citizen science and open science are reviewed and discussed i...
Issues related to the evolving role of citizen science and open science are reviewed and discussed i...
Issues related to the evolving role of citizen science and open science are reviewed and discussed i...
Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observ...
The involvement of citizens in scientific activities from data collection to hypothesis generation i...
Ecological and environmental citizen‐science projects have enormous potential to advance scientific ...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
This chapter will provide an overview of how citizen science has contributed to the development of r...
Citizen science is an increasingly acknowledged approach applied in many scientific domains, and par...
20 pages, 3 figures, 4 tables, supplementary information https://doi.org/10.1038/s43586-022-00144-4C...
Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observ...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observ...
Issues related to the evolving role of citizen science and open science are reviewed and discussed i...
Issues related to the evolving role of citizen science and open science are reviewed and discussed i...
Issues related to the evolving role of citizen science and open science are reviewed and discussed i...
Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observ...
The involvement of citizens in scientific activities from data collection to hypothesis generation i...
Ecological and environmental citizen‐science projects have enormous potential to advance scientific ...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...
This chapter will provide an overview of how citizen science has contributed to the development of r...
Citizen science is an increasingly acknowledged approach applied in many scientific domains, and par...
20 pages, 3 figures, 4 tables, supplementary information https://doi.org/10.1038/s43586-022-00144-4C...
Citizen Science (CS) and crowdsourcing are two potentially valuable sources of data for Earth Observ...
There is currently a lack of in-situ environmental data for the calibration and validation of remote...