Edyn: Dynamic Signaling of Changes to Forests Using Exponentially Weighted Moving Average Charts

Edyn: Dynamic Signaling of Changes to Forests Using Exponentially Weighted Moving Average Charts

Remote detection of forest disturbance remains a key area of interest for scientists and land managers. Subtle disturbances such as drought, disease, insect activity, and thinning harvests have a significant impact on carbon budgeting and forest productivity, but current change detection algorithms...

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Bibliographic Details
Main Authors: Evan B. Brooks, Zhiqiang Yang, Valerie A. Thomas, Randolph H. Wynne
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Forests
Subjects:
change detection
EWMACD
forest disturbance
Fourier
Landsat
quality control
remote sensing
Online Access:https://www.mdpi.com/1999-4907/8/9/304

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https://www.mdpi.com/1999-4907/8/9/304

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