Using photographs and deep neural networks to understand flowering phenology and diversity in mountain meadows

Using photographs and deep neural networks to understand flowering phenology and diversity in mountain meadows

Abstract Mountain meadows are an essential part of the alpine–subalpine ecosystem; they provide ecosystem services like pollination and are home to diverse plant communities. Changes in climate affect meadow ecology on multiple levels, for example, by altering growing season dynamics. Tracking the e...

Full description

Bibliographic Details
Main Authors: Aji John, Elli J. Theobald, Nicoleta Cristea, Amanda Tan, Janneke Hille Ris Lambers
Format: Article
Language:English
Published: Wiley 2024-08-01
Series:Remote Sensing in Ecology and Conservation
Subjects:
Alpine wildflowers
climate change
convolutional neural net
phenology
Online Access:https://doi.org/10.1002/rse2.382

Internet

https://doi.org/10.1002/rse2.382

Similar Items