Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

Title
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm
Authors
Keywords
-
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 232, Issue -, Pages 111181
Publisher
Elsevier BV
Online
2019-07-30
DOI
10.1016/j.rse.2019.04.034

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