DC pole | Wartość | Język |
dc.contributor.author | Barzycka, Barbara | - |
dc.contributor.author | Błaszczyk, Małgorzata | - |
dc.contributor.author | Grabiec, Mariusz | - |
dc.contributor.author | Jania, Jacek | - |
dc.date.accessioned | 2019-02-14T09:54:00Z | - |
dc.date.available | 2019-02-14T09:54:00Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Remote Sensing of Environment, Vol. 221 (2019), s. 373-385 | pl_PL |
dc.identifier.issn | 0034-4257 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/8190 | - |
dc.description.abstract | The warming climate of the Arctic affects the mass budget of glaciers, and changes in the distribution of glacier
facies are indicative of their response to climate change. The glacial mass budget over large land ice masses can
be estimated by remote sensing techniques, but selecting an efficient remote sensing method for recognizing and
mapping glacier facies in the Arctic remains a challenge. In this study, we compared several methods of distinguishing
the facies of the Vestfonna ice cap, Svalbard, based upon Synthetic Aperture Radar (SAR) images and
terrestrial high frequency Ground Penetrating Radar (GPR) measurements. Glacier zones as determined using the
backscattering coefficient (sigma0) of SAR images were compared against GPR data, and an alternative application
of Internal Reflection Energy (IRE) calculated from terrestrial GPR data was also used for differentiating
the extent of glacier facies. The IRE coefficient was found to offer a suitable method for distinguishing glacier
zones and for validating SAR analysis. Furthermore, results of analysis of fully polarimetric Phased Array type Lband
Synthetic Aperture Radar (ALOS PALSAR) and European Remote Sensing Synthetic Aperture Radar (ERS-2
SAR) images were compared with the IRE coefficient classification. Especially promising method is H-α segmentation,
where the glacier zone boundaries corresponded very well with both GPR visual interpretation and
IRE classification results. The IRE coefficient's simplicity of calculation makes it a good alternative to the subjective
GPR visual interpretation method, where results strongly depend on the operator's level of experience.
We therefore recommend for GPR profiles to be used for additional validation of SAR image analysis in studies of
glacier facies on the High Arctic ice masses. | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/pl/ | * |
dc.subject | Backscatter | pl_PL |
dc.subject | Polarimetry | pl_PL |
dc.subject | Decomposition | pl_PL |
dc.subject | Internal Reflection Energy | pl_PL |
dc.subject | Glacier facies | pl_PL |
dc.subject | Vestfonna | pl_PL |
dc.subject | Synthetic Aperture Radar (SAR) | pl_PL |
dc.subject | Ground Penetrating Radar (GPR) | pl_PL |
dc.title | Glacier facies of Vestfonna (Svalbard) based on SAR images and GPR measurements | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.relation.journal | Remote Sensing of Environment | pl_PL |
dc.identifier.doi | 10.1016/j.rse.2018.11.020 | - |
Pojawia się w kolekcji: | Artykuły (WNP)
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