Detection of Forest Disturbances with Different Intensities Using Landsat Time Series Based on Adaptive Exponentially Weighted Moving Average Charts

Forest disturbance detection is important for revealing ecological changes. Long-time series remote sensing analysis methods have emerged as the primary approach for detecting large-scale forest disturbances. Many of the existing change detection algorithms focus primarily on identifying high-intens...

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Bibliographic Details
Published in:Forests Vol. 15; no. 1; p. 19
Main Authors: Zhang, Tingwei, Wu, Ling, Liu, Xiangnan, Liu, Meiling, Chen, Chen, Yang, Baowen, Xu, Yuqi, Zhang, Suchang
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.01.2024
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ISSN:1999-4907, 1999-4907
Online Access:Get full text
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