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| Conflation of expert and crowd reference data to validate global binary thematic maps. 智库出版物
2019
作者: Waldner F; Schucknecht A; Lesiv M; Gallego J; See L; Pérez-Hoyos A; d'Andrimont R; de Maet T
  收藏 | 浏览/下载：6/0 | 提交时间：2019/06/18
Accuracy assessment Crowdsourcing Volunteered geographic information Data quality Stratified systematic sampling
Photo-interpretation |
| A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding. 智库出版物
2019
作者: See L
Adobe PDF(258Kb) | 收藏 | 浏览/下载：2/0 | 提交时间：2019/06/18
pluvial flooding, urban flooding, citizen science, crowdsourcing, mobile apps, sensors |
| Estimating the Global Distribution of Field Size using Crowdsourcing. 智库出版物
2019
作者: Lesiv M; Laso Bayas JC; See L; Dürauer M; Dahlia D; Durando N; Hazarika R; Sahariah PK
Adobe PDF(2875Kb) | 收藏 | 浏览/下载：3/0 | 提交时间：2019/06/18
field size, crowdsourcing, visual interpretation, environmental changes, food security |
| Citizen science data in peer-reviewed publications: The Geo-Wiki experience. 智库出版物
2018
作者: Fritz S; Fraisl D
Microsoft Powerpoint(16362Kb) | 收藏 | 浏览/下载：1/0 | 提交时间：2019/06/18
citizen science, crowdsourcing land cover land use peer reviewed publications data quality Geo-Wiki FotoQuest |
| Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover. 智库出版物
2018
作者: Stehman SV; Fonte CC; Foody GM; See L
收藏 | 浏览/下载：0/0 | 提交时间：2019/06/18
Probability sampling External validity Pseudo-weights Data quality Model-based inference Volunteered geographic information (VGI) Crowdsourcing |
| The Picture Pile Tool for Rapid Image Assessment: A Demonstration using Hurricane Matthew. 智库出版物
2018
作者: Danylo O; Moorthy I; Sturn T; See L; Laso Bayas J-C; Domian D; Fraisl D; Giovando C
Adobe PDF(1102Kb) | 收藏 | 浏览/下载：1/0 | 提交时间：2019/06/18
disaster assessment, image interpretation, rapid classification, building damage, crowdsourcing, mobile apps |
| Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions. 智库出版物
2018
作者: Zheng F; Tao R; Maier HR; See L; Savic D; Zhang T; Chen Q; Assumpção TH
Adobe PDF(1298Kb) | 收藏 | 浏览/下载：0/0 | 提交时间：2019/06/18
crowdsourcing, data collection, geophysics, categorization, Big Data |
| Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data. 智库出版物
2018
作者: Foody G; See L; Fritz S; Moorthy I; Perger C; Schill D; Boyd D
Adobe PDF(536Kb) | 收藏 | 浏览/下载：0/0 | 提交时间：2019/06/18
crowdsourcing volunteered geographic information (VGI) ensemble classification accuracy latent class analysis |
| Engaging Citizens in Environmental Monitoring via Gaming. 智库出版物
2018
作者: McCallum I; See L; Sturn T; Salk C; Perger C; Dürauer M; Karner M; Moorthy I
Adobe PDF(342Kb) | 收藏 | 浏览/下载：1/0 | 提交时间：2019/06/18
Crowdsourcing, citizen science, gaming, land cover, land use |
| M-PRESS-CreditRisk: A holistic approach to capital requirements under systemic stress 智库出版物
2017
作者: Ulf Slopek; Natalia Tente; Natalja von Westernhagen
收藏 | 浏览/下载：2/0 | 提交时间：2022/09/22
Crowdsourcing Zooniverse pro-social volunteering |
