How can spatial structural metrics improve the accuracy of forest disturbance and recovery detection using dense Landsat time series?
Forest disturbance and recovery detection is vital for assessing ecosystem resilience and service to further establish the sustainable ecosystem development. Time series analyses of remote sensing data provide essential and effective methods in such research. Some studies have incorporated spatial s...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |