New technologies in the mix: Assessing N‐mixture models for abundance estimation using automated detection data from drone surveys

1. Reliable estimates of abundance are critical in effectively managing threatened species, but the feasibility of integrating data from wildlife surveys completed using advanced technologies such as remotely piloted aircraft systems (RPAS) and machine learning into abundance estimation methods such...

Descripción completa

Detalles Bibliográficos
Autores principales: Corcoran, Evangeline, Denman, Simon, Hamilton, Grant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417234/
https://www.ncbi.nlm.nih.gov/pubmed/32788970
http://dx.doi.org/10.1002/ece3.6522

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417234/
https://www.ncbi.nlm.nih.gov/pubmed/32788970
http://dx.doi.org/10.1002/ece3.6522

Ejemplares similares