Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover
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Summary
Combining VGI from a non-probability sample with data from a probability sample using the certainty stratum approach or the model-assisted approach are viable alternatives that meet the conditions required for design-based inference and use the VGI data to advantage to reduce standard errors.
- Type
- article
- Published
- 2018-06-01
- Cited by
- 46
- References
- 80
- Access
- Open access
- OpenAlex
- https://openalex.org/W2802971269
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:134507378
Keywords
Volunteered geographic information, Land cover, Remote sensing, Computer science, Inference
References
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- Comparison of the accuracy of OpenStreetMap for Ireland with Google Maps and Bing Maps
- Finite population sampling and inference
- An evaluation of the weighting procedures for an online access panel survey
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- Finite population sampling and inference : a prediction approach
- An Introduction to Applied Geostatistics: by Edward H. Isaaks and R. Mohan Srivastava, 1989, Oxford University Press, New York, 561 p., ISBN 0-19-505012-6, ISBN 0-19-505013-4 (paperback), 55.00 cloth, 35.00 paper (US)
- Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project
- Model-free estimation from spatial samples: A reappraisal of classical sampling theory
- Geo-Wiki: An online platform for improving global land cover
- Crowdsourcing geographic knowledge: volunteered geographic information (VGI) in theory and practice
- Estimating area from an accuracy assessment error matrix
- A Generalization of Sampling Without Replacement from a Finite Universe
- Satellite image-based maps: Scientific inference or pretty pictures?
- Assessing the impact of demographic characteristics on spatial error in volunteered geographic information features
- Remote sensing and land cover area estimation
- Basic probability sampling designs for thematic map accuracy assessment
- Good practices for estimating area and assessing accuracy of land change
- Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts
Cited by
- The effects of local and landscape habitat attributes on bird diversity in urban greenspaces
- Conflation of expert and crowd reference data to validate global binary thematic maps
- Comparisons of Citizen Science Data-Gathering Approaches to Evaluate Urban Butterfly Diversity
- Key issues in rigorous accuracy assessment of land cover products
- Characterization of elements at risk in the multirisk coastal context and at different spatial scales: Multi-database integration (normandy, France).
- Validation of spatial multicriteria decision analysis results using public participation GIS
- Extracting Impervious Surface from Aerial Imagery Using Semi-Automatic Sampling and Spectral Stability
- Crowdsourcing in Remote Sensing: A Review of Applications and Future Directions
- Cloud services with big data provide a solution for monitoring and tracking sustainable development goals
- OIC-MCE: A Practical Land Cover Mapping Approach for Limited Samples Based on Multiple Classifier Ensemble and Iterative Classification
- Accounting for Training Data Error in Machine Learning Applied to Earth Observations
- Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change
- An Evaluation Model of Level of Detail Consistency of Geographical Features on Digital Maps
- Analyzing the Uncertainty of Degree Confluence Project for Validating Global Land-Cover Maps Using Reference Data-Based Classification Schemes
- Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation
- New Scheme for Impervious Surface Area Mapping From SAR Images With Auxiliary User-Generated Content
- Crowdsourcing-based application to solve the problem of insufficient training data in deep learning-based classification of satellite images
- GLOBE Observer and the GO on a Trail Data Challenge: A Citizen Science Approach to Generating a Global Land Cover Land Use Reference Dataset
- VOLUNTEERED GEOGRAPHIC INFORMATION (VGI) APPLICATION FOR MONITORING LAND USE VIOLATION CASE STUDY: CIGANJUR FLOOD
- Analysing the value of environmental citizen-generated data: Complementarity and cost per observation.
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