Application of Sentinel-1 radar data for mapping ice disturbance in a forested area

In 2014 a catastrophic ice storm occurred in the forests of Börzsöny Mts., Hungary. In this study we analyzed the potential of Synthetic Aperture Radar (SAR) data, complemented, and compared with optical imagery, in mapping this event. Great emphasis was put on reference data: three types of field-b...

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Autores principales:	László Zoltán, Zoltán Friedl, Vivien Pacskó, Ildikó Orbán, Eszter Tanács, Bálint Magyar, Dániel Kristóf, Tibor Standovár
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	remote sensing radar natural disturbance ice break sentinel-1 salvage logging Oceanography GC1-1581 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/b1b2dc441cec4e54837161cc0ecafeda
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spelling	oai:doaj.org-article:b1b2dc441cec4e54837161cc0ecafeda2021-11-04T15:51:55ZApplication of Sentinel-1 radar data for mapping ice disturbance in a forested area2279-725410.1080/22797254.2021.1982407https://doaj.org/article/b1b2dc441cec4e54837161cc0ecafeda2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/22797254.2021.1982407https://doaj.org/toc/2279-7254In 2014 a catastrophic ice storm occurred in the forests of Börzsöny Mts., Hungary. In this study we analyzed the potential of Synthetic Aperture Radar (SAR) data, complemented, and compared with optical imagery, in mapping this event. Great emphasis was put on reference data: three types of field-based reference datasets were used and the damaged patches were delineated manually based on the visual interpretation of pre- and post-event orthophotos. Four classifications with different set-ups were carried out by applying the eXtreme Gradient Boosting method. Combinations of radar backscatter coefficients, polarimetric descriptors, interferometric coherence, and optical data variables were tested. All classifications were suitable for identifying uprooted trees properly (1–11% underestimation), but none of them could detect crown loss accurately (55–58% overestimation), based on the validation of the most damaged area. Proper differentiation of healthy forests with various levels of canopy closure in the reference data seems crucial for accurate canopy loss estimation. In the case of methods using only Sentinel-1 imagery, interferometric coherence together with polarimetric descriptors provided the best results (OA: 65.7%). This setup can be useful for immediate uproot damage detection for planning salvage logging if a natural disturbance happens outside the vegetation period.László ZoltánZoltán FriedlVivien PacskóIldikó OrbánEszter TanácsBálint MagyarDániel KristófTibor StandovárTaylor & Francis Grouparticleremote sensingradarnatural disturbanceice breaksentinel-1salvage loggingOceanographyGC1-1581GeologyQE1-996.5ENEuropean Journal of Remote Sensing, Vol 54, Iss 1, Pp 568-587 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	remote sensing radar natural disturbance ice break sentinel-1 salvage logging Oceanography GC1-1581 Geology QE1-996.5
spellingShingle	remote sensing radar natural disturbance ice break sentinel-1 salvage logging Oceanography GC1-1581 Geology QE1-996.5 László Zoltán Zoltán Friedl Vivien Pacskó Ildikó Orbán Eszter Tanács Bálint Magyar Dániel Kristóf Tibor Standovár Application of Sentinel-1 radar data for mapping ice disturbance in a forested area
description	In 2014 a catastrophic ice storm occurred in the forests of Börzsöny Mts., Hungary. In this study we analyzed the potential of Synthetic Aperture Radar (SAR) data, complemented, and compared with optical imagery, in mapping this event. Great emphasis was put on reference data: three types of field-based reference datasets were used and the damaged patches were delineated manually based on the visual interpretation of pre- and post-event orthophotos. Four classifications with different set-ups were carried out by applying the eXtreme Gradient Boosting method. Combinations of radar backscatter coefficients, polarimetric descriptors, interferometric coherence, and optical data variables were tested. All classifications were suitable for identifying uprooted trees properly (1–11% underestimation), but none of them could detect crown loss accurately (55–58% overestimation), based on the validation of the most damaged area. Proper differentiation of healthy forests with various levels of canopy closure in the reference data seems crucial for accurate canopy loss estimation. In the case of methods using only Sentinel-1 imagery, interferometric coherence together with polarimetric descriptors provided the best results (OA: 65.7%). This setup can be useful for immediate uproot damage detection for planning salvage logging if a natural disturbance happens outside the vegetation period.
format	article
author	László Zoltán Zoltán Friedl Vivien Pacskó Ildikó Orbán Eszter Tanács Bálint Magyar Dániel Kristóf Tibor Standovár
author_facet	László Zoltán Zoltán Friedl Vivien Pacskó Ildikó Orbán Eszter Tanács Bálint Magyar Dániel Kristóf Tibor Standovár
author_sort	László Zoltán
title	Application of Sentinel-1 radar data for mapping ice disturbance in a forested area
title_short	Application of Sentinel-1 radar data for mapping ice disturbance in a forested area
title_full	Application of Sentinel-1 radar data for mapping ice disturbance in a forested area
title_fullStr	Application of Sentinel-1 radar data for mapping ice disturbance in a forested area
title_full_unstemmed	Application of Sentinel-1 radar data for mapping ice disturbance in a forested area
title_sort	application of sentinel-1 radar data for mapping ice disturbance in a forested area
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/b1b2dc441cec4e54837161cc0ecafeda
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Application of Sentinel-1 radar data for mapping ice disturbance in a forested area

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