<div class="csl-bib-body">
<div class="csl-entry">Schauer, H., Schlaffer, S., Büechi, P. E., & Dorigo, W. (2023). Inundation–desiccation state prediction for salt pans in the Western Pannonian basin using remote sensing, groundwater, and meteorological data. <i>Remote Sensing</i>, <i>15</i>(19), Article 4659. https://doi.org/10.3390/rs15194659</div>
</div>
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dc.identifier.issn
2072-4292
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/192049
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dc.description.abstract
Salt pans are unique wetland ecosystems. In the Austrian Seewinkel region, salt pans are in an increasingly vulnerable state due to groundwater drainage and heightened climatic pressures. It is crucial to model how seasonal and long-term hydrological and climatological variations affect the salt pan dynamics in Seewinkel, yet a comprehensive understanding of the driving processes is lacking. The goal of this study is to develop random forest machine learning models driven by hydrological and meteorological data that allow us to predict in early spring (March) of each year the inundation state in the subsequent summer and fall. We utilize Earth observation data from Landsat 5 (L5), 8 (L8), and 9 (L9) to derive the time series of the inundation state for 34 salt pans for the period 1984–2022. Furthermore, we demonstrate that the groundwater level observed in March is the strongest predictor of the salt pan inundation state in summer and fall. Utilizing local groundwater data yields a Matthews correlation coefficient of 0.59. Models using globally available meteorological data, either instead of or in addition to groundwater data, provide comparable results. This allows the global transfer of the approach to comparable ecosystems where no in situ data are available.
en
dc.description.sponsorship
Umweltbundesamt GmbH
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dc.language.iso
en
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dc.publisher
MDPI
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dc.relation.ispartof
Remote Sensing
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
drought
en
dc.subject
Earth observation
en
dc.subject
inundation state
en
dc.subject
Lake Neusiedl—Seewinkel National Park
en
dc.subject
Landsat
en
dc.subject
random forest
en
dc.subject
salt pan
en
dc.subject
soda pan
en
dc.subject
water extent
en
dc.subject
wetlands
en
dc.title
Inundation–desiccation state prediction for salt pans in the Western Pannonian basin using remote sensing, groundwater, and meteorological data
Fernerkundungsbasiertes Monitoring und datengetriebene Modellierung der Wasserflächen im Nationalpark Neusiedler See – Seewinkel
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tuw.researchTopic.id
E4
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tuw.researchTopic.id
C6
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tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.value
50
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tuw.researchTopic.value
50
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dcterms.isPartOf.title
Remote Sensing
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tuw.publication.orgunit
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung
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tuw.publisher.doi
10.3390/rs15194659
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dc.date.onlinefirst
2023-09-22
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dc.identifier.articleid
4659
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dc.identifier.eissn
2072-4292
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dc.identifier.libraryid
AC17202652
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dc.description.numberOfPages
32
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tuw.author.orcid
0000-0003-4742-8648
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tuw.author.orcid
0000-0001-8054-7572
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
dc.description.sponsorshipexternal
Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK, Austria), Federal Ministry of Education, Science and Research (BMBWF, Austria), ), Klima- und Energiefonds (KLIEN, Austria), Land Oberösterreich
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dc.description.sponsorshipexternal
Interreg Central Europe, European Union
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dc.relation.grantnoexternal
StartClim2021
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dc.relation.grantnoexternal
CE0100059
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wb.sci
true
-
wb.sciencebranch
Geodäsie, Vermessungswesen
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wb.sciencebranch
Informatik
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wb.sciencebranch
Physische Geographie
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wb.sciencebranch.oefos
2074
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1054
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wb.sciencebranch.value
70
-
wb.sciencebranch.value
15
-
wb.sciencebranch.value
15
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item.openaccessfulltext
Open Access
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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item.grantfulltext
open
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item.fulltext
with Fulltext
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item.mimetype
application/pdf
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item.openairetype
research article
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crisitem.author.dept
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung
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crisitem.author.dept
E120 - Department für Geodäsie und Geoinformation
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crisitem.author.dept
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung
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crisitem.author.dept
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung