KIT | KIT-Bibliothek | Impressum | Datenschutz

An optical satellite-based analysis of phenology and post-fire vegetation recovery in UK upland moorlands

Labenski, Pia ORCID iD icon 1,2; Millin-Chalabi, Gail; Pacheco-Pascagaza, Ana María; Senn, Johannes Antenor ORCID iD icon 2; Fassnacht, Fabian Ewald ORCID iD icon 2; Clay, Gareth D.
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
2 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)

Abstract:

Vegetation fuel dynamics in the UK's upland moorlands are important in determining landscape susceptibility to wildfire. Changes in fuel availability are influenced by phenology, land management activities or disturbances such as wildfires. Monitoring such changes is therefore essential to assess wildfire risks and impacts. This study used vegetation indices (VIs) derived from Sentinel-2 time series (2017–2023) and harmonic modelling to capture the phenology of key fuel properties and monitor post-fire vegetation recovery in four upland land cover types (acid grassland, heather, heather grassland, bog). We identified periods of high flammability, assessed the impact of wildfires on the spectral signal, and determined the time for spectral recovery as well as potential drivers of recovery times. Results showed the period of highest flammability from mid-February to early May in acid grassland, extending to early June in heather and heather grassland, and late June in bog. Summer fires caused more pronounced changes in fuel properties than spring fires, particularly in moisture-related VIs. Graminoid-dominated areas recovered rapidly (under a year), matching field observations, while dwarf shrub-dominated areas required up to three years, consistent with measurements of vegetation cover on burned areas but not with height. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000175065
Veröffentlicht am 18.10.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2024
Sprache Englisch
Identifikator ISSN: 2665-9727
KITopen-ID: 1000175065
HGF-Programm 12.11.24 (POF IV, LK 01) Adaptation of natural landscapes to climate change
Erschienen in Environmental and Sustainability Indicators
Verlag Elsevier B.V.
Band 24
Seiten 100492
Vorab online veröffentlicht am 28.09.2024
Schlagwörter Fuel dynamics, Sentinel-2, Wildfires, Calluna vulgaris, Flammability, Harmonic modelling
Nachgewiesen in Scopus
Dimensions
Globale Ziele für nachhaltige Entwicklung Ziel 15 – Leben an Land
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page