Linking robust spatiotemporal datasets to assess and monitor habitat attributes of a threatened species.

Linking robust spatiotemporal datasets to assess and monitor habitat attributes of a threatened species.

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Accessibility of multispectral, multitemporal imagery combined with recent advances in cloud computing and machine learning approaches have enhanced our ability to model habitat characteristics across broad spatial and temporal scales. We integrated a large dataset of known nest and roost sites of a...

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Bibliographic Details
Main Authors: Chris Witt, Raymond J Davis, Zhiqiang Yang, Joseph L Ganey, R J Gutiérrez, Sean Healey, Shaula Hedwall, Serra Hoagland, Ron Maes, Karl Malcolm, Jamie Sanderlin, Mark Seamans, Gavin M Jones
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0265175

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https://doi.org/10.1371/journal.pone.0265175

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