Assessing Transferability of Remote Sensing Pasture Estimates Using Multiple Machine Learning Algorithms and Evaluation Structures

Both the vastness of pasturelands and the value they contain—e.g., food security, ecosystem services—have resulted in increased scientific and industry efforts to remotely monitor them via satellite imagery and machine learning (ML). However, the transferability of these models is uncertain, as mode...

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Главные авторы:	Hunter D. Smith, Jose C. B. Dubeux, Alina Zare, Chris H. Wilson
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-06-01
Серии:	Remote Sensing
Предметы:	pasture transferability machine learning Sentinel-2 satellite data biomass
Online-ссылка:	https://www.mdpi.com/2072-4292/15/11/2940
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