Detection of windthrows and insect outbreaks by L-band SAR: a case study in the Bavarian Forest National Park
Authors
Tanase, Mihai AndreiIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/59694DOI: 10.1016/j.rse.2018.03.009
ISSN: 0034-4257
Date
2018-05-01Academic Departments
Universidad de Alcalá. Departamento de Geología, Geografía y Medio Ambiente
Teaching unit
Unidad Docente Geografía
Funders
European Commission
Bibliographic citation
Remote Sensing of Environment, 2018, v. 209, p. 700-711
Keywords
Insect outbreaks
Windthrows
Bark beetle
L-band SAR
ALOS PALSAR
Forest disturbance
Change detection
Radar change ratio
Project
info:eu-repo/grantAgreement/EC/H2020/641762/EU/ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
© 2018 The Authors
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
Natural disturbances significantly influence forest ecosystem services and biodiversity. Accurate delineation and early detection of areas affected by wind and insect outbreaks are crucial for guiding management decisions. To this end, past studies relied mostly on passive sensors (e.g., optical), and active sensors (i.e., radar) were rarely used. This study used L-band space-bome synthetic aperture radar (SAR) within a change-detection framework to delineate forested areas affected by wind and insect disturbances. The results showed that changes in backscatter relate to damage caused by wind and insect outbreaks. Overall accuracies of 69- 84% and 65--88% were obtained for delineation of areas affected by wind damage and insect outbreaks, respectively, depending on the acquisition date and environmental conditions. Areas susceptible to insect outbreaks or experiencing the initial outbreak phase (green) were detected with lower accuracies (64--74%). lt is expected that L-band space-borne SAR data can be applied over larger areas and ecosystem types in the temperate and boreal regions to delineate and detect damaged areas.
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