Identifikacija območij vetroloma na podlagi časovne vrste s podatki C-SAR

Windthrow identification with C-SAR time series

Author(s):

Alen Mangafić, Martin Puhar, Blaž Barborič

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.

Keywords:

windthrow, time series, SAR, C-SAR, radar, Sentinel-1, remote sensing

DOI: 10.15292/geodetski-vestnik.2020.03.335-347

Citation:

Alen Mangafić, Martin Puhar, Blaž Barborič (2020). Identifikacija območij vetroloma na podlagi časovne vrste s podatki C-SAR. | Windthrow identification with C-SAR time series. Geodetski vestnik, 64 (3), 335-347. DOI: 10.15292/geodetski-vestnik.2020.03.335-347