Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape

New satellite remote sensing and machine learning techniques offer untapped possibilities to monitor global biodiversity with unprecedented speed and precision. These efficiencies promise to reveal novel ecological insights at spatial scales which are germane to the management of populations and ent...

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Detalles Bibliográficos
Autores principales: Wu, Zijing, Zhang, Ce, Gu, Xiaowei, Duporge, Isla, Hughey, Lacey F., Stabach, Jared A., Skidmore, Andrew K., Hopcraft, J. Grant C., Lee, Stephen J., Atkinson, Peter M., McCauley, Douglas J., Lamprey, Richard, Ngene, Shadrack, Wang, Tiejun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224963/
https://www.ncbi.nlm.nih.gov/pubmed/37244940
http://dx.doi.org/10.1038/s41467-023-38901-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224963/
https://www.ncbi.nlm.nih.gov/pubmed/37244940
http://dx.doi.org/10.1038/s41467-023-38901-y

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