| Crowdsourcing In-Situ Data Collection Using Gamification | 0 | 0.34 | 2021 |
| Developing food, water and energy nexus workflows | 2 | 0.41 | 2020 |
| Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery. | 0 | 0.34 | 2019 |
| An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource. | 4 | 0.51 | 2018 |
| Engaging Citizens In Environmental Monitoring Via Gaming | 0 | 0.34 | 2018 |
| Integrated Participatory and Collaborative Risk Mapping for Enhancing Disaster Resilience. | 3 | 0.68 | 2018 |
| Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data. | 0 | 0.34 | 2018 |
| Assessing and Improving the Reliability of Volunteered Land Cover Reference Data. | 0 | 0.34 | 2017 |
| Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania. | 1 | 0.40 | 2017 |
| The Role of Citizen Science in Earth Observation. | 2 | 0.45 | 2017 |
| LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya. | 3 | 0.44 | 2017 |
| European Landscape Dynamics: CORINE Land Cover Data, Jan Feranec, Tomas Soukup, Gerard Hazeu, Gabriel Jaffrain. CRC Press, Boca Raton (2016). | 0 | 0.34 | 2017 |
| Limitations of Majority Agreement in Crowdsourced Image Interpretation. | 4 | 0.51 | 2017 |
| Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information. | 1 | 0.36 | 2016 |
| Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game. | 8 | 0.71 | 2016 |
| Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology. | 1 | 0.37 | 2016 |
| Towards an Integrated Global Land Cover Monitoring and Mapping System. | 0 | 0.34 | 2016 |
| Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information. | 34 | 2.45 | 2016 |
| A Unified Cropland Layer at 250 m for Global Agriculture Monitoring | 2 | 0.40 | 2016 |
| Contributing to WUDAPT: A Local Climate Zone Classification of Two Cities in Ukraine. | 1 | 0.39 | 2016 |
| Local Knowledge and Professional Background Have a Minimal Impact on Volunteer Citizen Science Performance in a Land-Cover Classification Task. | 1 | 0.37 | 2016 |
| Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data. | 10 | 0.60 | 2016 |
| Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map. | 0 | 0.34 | 2016 |
| The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods. | 0 | 0.34 | 2016 |
| Vote Aggregation Techniques in the Geo-Wiki Crowdsourcing Game: A Case Study. | 0 | 0.34 | 2016 |
| Cropland Capture - A Game for Improving Global Cropland Maps. | 2 | 0.38 | 2015 |
| A Meta-Analysis on the Return on Investment of Geospatial Data and Systems: A Multi-Country Perspective. | 2 | 0.35 | 2015 |
| Mapping Priorities to Focus Cropland Mapping Activities: Fitness Assessment of Existing Global, Regional and National Cropland Maps | 15 | 0.76 | 2015 |
| Spatial Accuracy Assessment and Integration of Global Land Cover Datasets | 4 | 0.44 | 2015 |
| Geography Geo-Wiki In The Classroom: Using Crowdsourcing To Enhance Geographical Teaching | 0 | 0.34 | 2014 |
| Landspotting - Games for improving global land cover. | 2 | 0.39 | 2013 |
| Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project. | 26 | 1.21 | 2013 |
| Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data. | 3 | 0.42 | 2013 |
| Harmonizing and Combining Existing Land Cover/Land Use Datasets for Cropland Area Monitoring at the African Continental Scale | 26 | 2.37 | 2013 |
| The Rise of Collaborative Mapping: Trends and Future Directions. | 3 | 0.42 | 2013 |
| Using control data to determine the reliability of volunteered geographic information about land cover. | 31 | 1.92 | 2013 |
| Geo-Wiki: An online platform for improving global land cover. | 58 | 3.28 | 2012 |
| Building a crowd-sourcing tool for the validation of urban extent and gridded population | 5 | 1.34 | 2011 |
| Different methods, different wilds: Evaluating alternative mappings of wildness using fuzzy MCE and Dempster-Shafer MCE | 3 | 0.42 | 2010 |
| Comparison Of Global Land Cover Products: Community Remote Sensing To Validate Areas Of High Disagreement | 0 | 0.34 | 2010 |
| Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover | 74 | 7.93 | 2009 |
| A Conceptual Framework for Assessing the Benefits of a Global Earth Observation System of Systems | 10 | 1.31 | 2008 |
| The use of MODIS data to derive acreage estimations for larger fields: A case study in the south-western Rostov region of Russia | 9 | 1.69 | 2008 |
| A method to compare and improve land cover datasets: application to the GLC-2000 and MODIS land cover products | 8 | 3.70 | 2006 |
| Comparison Of Land Cover Maps Using Fuzzy Agreement | 23 | 3.28 | 2005 |
