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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