Identifikacija območij vetroloma na podlagi časovne vrste s podatki C-SAR ( = Windthrow identification with C-SAR time series)
A strong windthrow affected many forests in Slovenia and northern Italy on the night of the 29th and the 30th of October, 2018. In this paper, we propose a new methodology for windthrow identification, comprising two new indexes, PCA-CI for evaluating change detection and PCA-WI for the identificati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association of Surveyors of Slovenia (Zveza geodetov Slovenije)
2020-09-01
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| Series: | Geodetski Vestnik |
| Subjects: | |
| Online Access: | http://www.geodetski-vestnik.com/64/3/gv64-3_mangafic.pdf |
| Summary: | A strong windthrow affected many forests in Slovenia and northern Italy on the night of the 29th and the 30th of October, 2018. In this paper, we propose a new methodology for windthrow identification, comprising two new indexes, PCA-CI for evaluating change detection and PCA-WI for the identification of windthrows by analysing the time series of C-SAR Sentinel-1 data. The proposed methodology, unlike the previous studies on the identification of windthrows, does not subtract the values of dual and single polarised VH-VV data combinations, but proposes a new approach with a multivariate transformation of dimensionality reduction of the time series of the dual and single polarised data in two different time frames. |
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| ISSN: | 0351-0271 1581-1328 |