Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance

Su Ye; John Rogan; Zhe Zhu; Todd J Hawbaker; Sarah J Hart; Robert A Andrus; Arjan J H Meddens; Jeffrey A Hicke; J Ronald Eastman; Dominik Kulakowski

doi:10.1016/j.rse.2021.112560

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Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance

Journal article

Peer reviewed

Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance

Su Ye, John Rogan, Zhe Zhu, Todd J Hawbaker, Sarah J Hart, Robert A Andrus, Arjan J H Meddens, Jeffrey A Hicke, J Ronald Eastman and Dominik Kulakowski

Remote Sensing of Environment, Vol.263

2021

DOI: https://doi.org/10.1016/j.rse.2021.112560

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Title: Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance
Creators: Su Ye
John Rogan - Clark University
Zhe Zhu - University of Connecticut
Todd J Hawbaker - United States Geological Survey
Sarah J Hart - University of Wisconsin–Madison
Robert A Andrus - Washington State University
Arjan J H Meddens - Washington State University
Jeffrey A Hicke - University of Idaho
J Ronald Eastman - Clark University
Dominik Kulakowski - Clark University
Publication Details: Remote Sensing of Environment, Vol.263
Identifiers: 996631981401851
Academic Unit: Institute for Health in the Human Ecosystem; Idaho Experimental Partnership to Stimulate Competitive Research; Earth and Spatial Sciences
Language: English
Resource Type: Journal article