Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees-Reference-Cited by-同舟云学术

Applying machine learning based on multiscale classifiers to detect remote phenology patterns in Cerrado savanna trees

Published:2014-09 Issue: Volume:23 Page:49-61
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Almeida Jurandy,dos Santos Jefersson A.,Alberton Bruna,Torres Ricardo da S.,Morellato Leonor Patricia C.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modelling,Modelling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference44 articles.

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2. Near remote phenology: applying digital images to monitor leaf phenology in a Brazilian Cerrado savanna;Alberton,2012

3. Remote phenology: applying machine learning to detect phenological patterns in a Cerrado savanna;Almeida,2012

4. Visual rhythm-based time series analysis for phenology studies;Almeida,2013

5. Introduction to Machine Learning. Adaptive Computation and Machine Learning;Alpaydin,2010

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