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

• Published in: Remote Sensing
• Main Authors: Erkki Tomppo, Oleg Antropov, Jaan Praks
• Format: Text
• Language: English
• Published: Multidisciplinary Digital Publishing Institute 2019
• Subjects: boreal forest; snow damage; synthetic aperture radar; Sentinel-1; support vector machine; improved k-NN; genetic algorithm; The Sentinel; Northern Finland
• Online Access: https://doi.org/10.3390/rs11040384

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...