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Windthrow mapping with Sentinel-2 and PlanetScope in Triglav National Park : a regional case study
ID Zupan, Matej (Author), ID Oštir, Krištof (Author), ID Potočnik Buhvald, Ana (Author)

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Abstract
Extreme weather increasingly damages forest ecosystems, and affected areas are often remote or inaccessible, limiting field surveys. In such contexts, remote sensing can complement damage assessment. This study presents a regional case study evaluating established multi-temporal optical change detection for windthrow mapping in Triglav National Park (Slovenia) using Sentinel-2 and PlanetScope imagery. Bitemporal index differencing and fixed thresholds were applied, with accuracy quantified via a block bootstrap to account for spatial autocorrelation. Within-sample overall accuracy was 69.2% (95% CI: 67.4–71.2%) for Sentinel-2 and 72.9% (95% CI: 71.2–74.6%) for PlanetScope. Detection was strongly size-dependent: gaps greater than 0.5 ha were consistently detected, whereas gaps smaller than 0.1 ha were frequently omitted, particularly with Sentinel-2. Linking satellite-derived change maps with forest stand data enabled parcel-level estimates of damaged timber volume; this linkage was examined on a small, non-probability set of parcels and is therefore preliminary. We position the work strictly as a case study documenting within-sample performance in alpine terrain. Broader generalisation will require probability-based validation across additional events and forest types, and wider access to parcel-level official records.

Language:English
Keywords:multi-temporal, high-resolution satellite imagery, windthrow damage, windstorm damage, alpine forests, timber volume estimation, change detection
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:27 str.
Numbering:Vol. 17, issue 21, art. 3568
PID:20.500.12556/RUL-175601 This link opens in a new window
UDC:528.9(497.4)
ISSN on article:2072-4292
DOI:10.3390/rs17213568 This link opens in a new window
COBISS.SI-ID:255965187 This link opens in a new window
Publication date in RUL:05.11.2025
Views:102
Downloads:38
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Record is a part of a journal

Title:Remote sensing
Shortened title:Remote sens.
Publisher:MDPI
ISSN:2072-4292
COBISS.SI-ID:32345133 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:veččasovni, satelitski posnetki visoke ločljivosti, poškodbe zaradi vetra, alpski gozdovi, ocena količine lesa, zaznavanje sprememb, vetrolom

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J2-3055
Name:ROVI – Združevanje in obdelava radarskih in optičnih časovnih vrst satelitskih posnetkov za spremljanje naravnega okolja

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0406
Name:Opazovanje Zemlje in geoinformatika

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