Detecting semi-arid forest decline using time series of Landsat data

Detecting semi-arid forest decline using time series of Landsat data

ABSTRACTDetecting forest decline is crucial for effective forest management in arid and semi-arid regions. Remote sensing using satellite image time series is useful for identifying reduced photosynthetic activity caused by defoliation. However, current studies face limitations in detecting forest d...

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Bibliographic Details
Main Authors: Elham Shafeian, Fabian Ewald Fassnacht, Hooman Latifi
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:European Journal of Remote Sensing
Subjects:
forest decline
Landsat time series
random forest
anomaly
Sen’s slope
semi-arid
Online Access:https://www.tandfonline.com/doi/10.1080/22797254.2023.2260549

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