Adaptive Detection of Diverse Forest Disturbances Using Sparse Landsat Time Series
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DOI: 10.15244/pjoes/202593
Abstract: Most change detection algorithms are designed to detect specific forest disturbances, which may not effectively capture diverse events. These algorithms typically model seasonal changes using dense observations to reduce phenological noise, making them unsuitable for… read more here.
Keywords: detection; forest disturbances; sparse landsat; using sparse ... See more keywords