Year: 2020
Type: article
Abstract: 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.V noči med 29. in 30.oktobrom 2018 je več gozdnih območij v Sloveniji in severni Italiji prizadel močan vetrolom.V članku predlagamo novo metodologijo za identifikacijo območij vetroloma.Predlagamo nova indeksa: PCA-CI za identificiranje območij večjih sprememb in PCA-WI za identificiranje območij vetroloma na podlagi časovne vrste podatkov C-SAR satelita Sentinel-1.V primerjavi z dosedanjimi študijami identificiranja vetrolomov predlagana metodologija ne odšteva kanalov dvopolnih in enopolnih kombinacij VH-VV, temveč predlaga nov pristop z multivariantno transformacijo zmanjševanja dimenzionalnosti časovnih vrst posameznih dvopolnih in enopolnih kombinacij v dveh obdobjih.
Source: Geodetski vestnik
Authors: Alen Mangafić, Martin Puhar, Blaž Barborič
Institutions: IGEA (Slovenia), Geodetic Institute of Slovenia
Language: English
Subfield: Geophysics
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: diamond
OpenAlex ID: W3091892423