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

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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Detalles Bibliográficos
Autores principales: Witt, Chris, Davis, Raymond J., Yang, Zhiqiang, Ganey, Joseph L., Gutiérrez, R. J., Healey, Sean, Hedwall, Shaula, Hoagland, Serra, Maes, Ron, Malcolm, Karl, Sanderlin, Jamie, Seamans, Mark, Jones, Gavin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929618/
https://www.ncbi.nlm.nih.gov/pubmed/35298506
http://dx.doi.org/10.1371/journal.pone.0265175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929618/
https://www.ncbi.nlm.nih.gov/pubmed/35298506
http://dx.doi.org/10.1371/journal.pone.0265175

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