Boreal Forest Snow Damage Mapping Using Multi-Temporal Sentinel-1 Data

• Published in: Remote Sensing
• Main Authors: Erkki Tomppo, Oleg Antropov, Jaan Praks
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2019
• Subjects: boreal forest; snow damage; synthetic aperture radar; Sentinel-1; support vector machine; improved k-NN; genetic algorithm; Science; Q; The Sentinel; Northern Finland
• Online Access: https://doi.org/10.3390/rs11040384; https://doaj.org/article/782caa08f169441bae9d13a81450b510

Natural disturbances significantly influence forest ecosystem services and biodiversity. Accurate delineation and early detection of areas affected by disturbances are critical for estimating extent of damage, assessing economical influence and guiding forest management activities. In this study we...