Mapping Lower Saxony’s salt marshes using temporal metrics of multi-sensor satellite data

Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
https://doi.org/10.48693/321
Open Access logo originally created by the Public Library of Science (PLoS)
Langanzeige der Metadaten
DC ElementWertSprache
dc.creatorStückemann, Kim-Jana-
dc.creatorWaske, Björn-
dc.date.accessioned2023-05-04T14:26:38Z-
dc.date.available2023-05-04T14:26:38Z-
dc.date.issued2022-11-24-
dc.identifier.citationStückemann, K.-J., & Waske, B. (2022): Mapping Lower Saxony’s salt marshes using temporal metrics of multi-sensor satellite data. International Journal of Applied Earth Observation and Geoinformation, 115, 103123.ger
dc.identifier.urihttps://doi.org/10.48693/321-
dc.identifier.urihttps://osnadocs.ub.uni-osnabrueck.de/handle/ds-202305048960-
dc.description.abstractSalt marshes act as an important natural buffer in terms of coastal protection in the light of the rising sea level. Due to weather events like extreme storms the extent of salt marshes changes. Hence, it is of great importance to regularly monitor these changes, especially for managing interventions and reporting their ecological status in the frame of environmental policies, like Natura 2000. In this study, the potential of freely available sallite imagery is investigated and a methodological approach suggested to map superior salt marsh types (pioneer zone, lower and upper salt marshes) for supporting regular monitoring compliances. Therefore, (spectral-)temporal metrics of optical Sentinel-2 (S2) and Landsat 8 as well as SAR Sentinel-1 were calculated and used in different classification setups. The classifications were performed using a basic Random Forest classifier. A detailed accuracy assessment shows the impact of different datasets on the overall accuracy. The best result was achieved using S2 data, which led to an overall accuracy of 90.3 %. The combination of optical and SAR data, on the other hand, did not increase the classification accuracy. Overall, the freely available datasets and the proposed method proof useful and are considered well suited for monitoring salt marshes.eng
dc.relationhttps://doi.org/10.1016/j.jag.2022.103123ger
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectSalt marsheseng
dc.subjectSpectral-temporal metricseng
dc.subjectMulti-sensoreng
dc.subjectSentinel-2eng
dc.subjectSentinel-1eng
dc.subjectLandsat 8eng
dc.subject.ddc004 - Informatikger
dc.subject.ddc550 - Geowissenschaftenger
dc.titleMapping Lower Saxony’s salt marshes using temporal metrics of multi-sensor satellite dataeng
dc.typeEinzelbeitrag in einer wissenschaftlichen Zeitschrift [Article]ger
orcid.creatorhttps://orcid.org/0000-0002-2586-3748-
dc.identifier.doi10.1016/j.jag.2022.103123-
Enthalten in den Sammlungen:FB06 - Hochschulschriften
Open-Access-Publikationsfonds

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
Stueckemann_Waske_IJAEOG_2022.pdfArticle12,18 MBAdobe PDF
Stueckemann_Waske_IJAEOG_2022.pdf
Miniaturbild
Öffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons