Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches

Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches

Abstract A core goal of the National Ecological Observatory Network (NEON) is to measure changes in biodiversity across the 30‐yr horizon of the network. In contrast to NEON’s extensive use of automated instruments to collect environmental data, NEON’s biodiversity surveys are almost entirely conduc...

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Détails bibliographiques
Auteurs principaux: Justin Kitzes, Rachael Blake, Sara Bombaci, Melissa Chapman, Sandra M. Duran, Tao Huang, Maxwell B. Joseph, Samuel Lapp, Sergio Marconi, William K. Oestreich, Tessa A. Rhinehart, Anna K. Schweiger, Yiluan Song, Thilina Surasinghe, Di Yang, Kelsey Yule
Format: article
Langue:EN
Publié: Wiley 2021
Sujets:
biogeography
deep learning
macroecology
monitoring
neural network
sensor
Ecology
QH540-549.5
Accès en ligne:https://doaj.org/article/67ef1bd5ba264017b3883cfc53d79913
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https://doaj.org/article/67ef1bd5ba264017b3883cfc53d79913

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