KIT | KIT-Bibliothek | Impressum | Datenschutz

Mapping the fractional coverage of the invasive shrub Ulex europaeus with multi-temporal Sentinel-2 imagery utilizing UAV orthoimages and a new spatial optimization approach

Gränzig, Tobias; Fassnacht, Fabian Ewald ORCID iD icon 1; Kleinschmit, Birgit; Förster, Michael
1 Institut für Geographie und Geoökologie (IFGG), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Mapping the occurrence patterns of invasive plant species and understanding their invasion dynamics is a crucial
requirement for preventing further spread to so far unaffected regions. An established approach to map invasive
species across large areas is based on the combination of satellite or aerial remote sensing data with ground truth
data from fieldwork. Unmanned aerial vehicles (UAV, also referred to as unmanned aerial systems (UAS)) may
represent an interesting and low-cost alternative to labor-intensive fieldwork. Despite the increasing use of UAVs
in the field of remote sensing in the last years, operational methods to combine UAV and satellite data are still
sparse. Here, we present a new methodological framework to estimate the fractional coverage (FC%) of the
invasive shrub species Ulex europaeus (common gorse) on Chilo´e Island (south-central Chile), based on ultrahigh-
resolution UAV images and a medium resolution intra-annual time-series of Sentinel-2. Our framework is
based on three steps: 1) Land cover classification of the UAV orthoimages, 2) reduce the spatial shift between
UAV-based land cover classification maps and Sentinel-2 imagery and 3) identify optimal satellite acquisition
... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000127992
Veröffentlicht am 28.12.2020
DOI: 10.1016/j.jag.2020.102281
Zitationen: 30
Zitationen: 32
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 04.2021
Sprache Englisch
Identifikator ISSN: 0303-2434
KITopen-ID: 1000127992
Erschienen in International journal of applied earth observation and geoinformation
Verlag Elsevier
Band 96
Seiten Art. Nr.: 102281
Nachgewiesen in Dimensions
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page