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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| Published in: | Forests Vol. 15; no. 1; p. 19 |
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| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Basel
MDPI AG
01.01.2024
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| Subjects: | |
| ISSN: | 1999-4907, 1999-4907 |
| Online Access: | Get full text |
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