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https://doi.org/10.21955/gatesopenres.1116682.1
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Beach R, Lapidus D, Hegarty-Craver M et al. Crop mapping using Sentinel-1 and Sentinel-2 imagery and UAV-acquired ground truth data [version 1; not peer reviewed]. Gates Open Res 2020, 4:149 (poster) (https://doi.org/10.21955/gatesopenres.1116682.1)
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Crop mapping using Sentinel-1 and Sentinel-2 imagery and UAV-acquired ground truth data

Robert Beach1, Daniel Lapidus, Meghan Hegarty-Craver, Maggie O'Neil, James Rineer, Dorota Temple
Author Affiliations
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Published 26 Sep 2020

Crop mapping using Sentinel-1 and Sentinel-2 imagery and UAV-acquired ground truth data

[version 1; not peer reviewed]

Robert Beach1, Daniel Lapidus, Meghan Hegarty-Craver, Maggie O'Neil, James Rineer, Dorota Temple
Author Affiliations
1 RTI International, USA
Abstract
Gates Foundation grant number
INV-GC2020
Competing Interests

No competing interests were disclosed

Keywords
Google Earth Engine, machine learning, random forest, satellite imagery, smallholder agriculture
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