Early detection of bark beetle infestation in Norway spruce forests of Central Europe using Sentinel-2
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Title
Early detection of bark beetle infestation in Norway spruce forests of Central Europe using Sentinel-2
Authors
Keywords
Sentinel-2, Time series, Green attack, Norway spruce, Bark beetle, Ips typographus
Journal
International Journal of Applied Earth Observation and Geoinformation
Volume 100, Issue -, Pages 102335
Publisher
Elsevier BV
Online
2021-04-20
DOI
10.1016/j.jag.2021.102335
References
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- (2014) Markus Immitzer et al. Photogrammetrie Fernerkundung Geoinformation
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- (2014) Hooman Latifi et al. PROGRESS IN PHYSICAL GEOGRAPHY
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