Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data

Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data

This article explores the use of Fisher discriminant analysis (FDA) as a method for extracting time-resolved information from multivariate environmental time series data. FDA is useful because it can be applied to multivariate input data and produces a transformation that is physically interpretable...

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Bibliographic Details
Main Authors: Conor T. Doherty, Meagan S. Mauter
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Fisher discriminant analysis (FDA)
phenology
planting date
time series data
Online Access:https://ieeexplore.ieee.org/document/10812678/
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