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Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning
Wind disturbances are significant phenomena in forest spatial structure and succession dynamics. They cause changes in biodiversity, impact on forest ecosystems at different spatial scales, and have a strong influence on economics and human beings. The reliable recognition and mapping of windthrow areas are of high importance from the perspective of forest management and nature conservation. Recent research in artificial intelligence and computer vision has demonstrated the incredible potentialdoi:10.3390/rs12071145 fatcat:hal4myombjhl3pzvhb7g26iksa