Factors influencing the consistency in crowdsourced interpretations of aerial photographs to measure tree canopy cover

Machine learning models are typically data-hungry algorithms that require large data inputs for training. When they produce wall-to-wall remote sensing products, model validation also requires large sets of temporally harmonized field observations. Crowdsourcing may offer a potential solution for th...

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Bibliographic Details

Published in:	Ecological Informatics
Main Authors:	Jill M. Derwin, Valerie A. Thomas, Randolph H. Wynne, Karen G. Schleeweis, John W. Coulston, S. Seth Peery, Kurt Luther, Greg C. Liknes, Stacie Bender, Susmita Sen
Format:	Article
Language:	English
Published:	Elsevier 2025-11-01
Subjects:	Human intelligence task Citizen science Map accuracy Worker reliability Ensemble models Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S1574954125003097