<div class="csl-bib-body">
<div class="csl-entry">Gruber, A. (2013). <i>Characterizing coarse-scale representativeness of in-situ soil moisture measurements from the International Soil Moisture Network</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2013.22540</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2013.22540
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/6908
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dc.description
Zsfassung in dt. Sprache
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dc.description.abstract
In-situ soil moisture measurements play a key role for a variety of large-scale applications. A deep understanding of their quality, especially in terms of spatial representativeness, is crucial for reliably using them as reference data. This study assesses random errors in the coarse-scale representation of in-situ soil moisture measurements from more than 1400 globally distributed stations in the International Soil Moisture Network (ISMN) using the triple collocation method. The method was applied on the original measurements as well as on soil moisture anomalies. Error estimates were summarized for different networks, depths, and measurement principles and furthermore related to the respective climate class, soil type, average soil moisture condition, and soil moisture variability to find possible relationships between measurement errors and local properties. The average network error varies from about 0.02 to 0.06 m(hoch)3m(hoch)-3 with generally increasing error variability with increasing average error. Trends of (i) decreasing errors with increasing measurement depth and of (ii) increasing errors with increasing average soil moisture conditions and soil moisture variability were found for most networks and sensor types. The errors when looking into anomalies are in general lower than for absolute values. No statistically reliable trends for climate- and soil texture classes were found. The results highlight the necessity of developing a comprehensive quality control process for in-situ measurements to reliably exploit existing data sets and to select representative sites and sensors most appropriate for the requirements of a particular larger-scale application.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.title
Characterizing coarse-scale representativeness of in-situ soil moisture measurements from the International Soil Moisture Network
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2013.22540
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Alexander Gruber
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E120 - Department für Geodäsie und Geoinformation
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC11105060
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dc.description.numberOfPages
40
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-71199
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dc.thesistype
Diplomarbeit
de
dc.thesistype
Diploma Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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tuw.advisor.orcid
0000-0001-7704-6857
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_bdcc
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item.languageiso639-1
en
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item.openaccessfulltext
Open Access
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item.openairetype
master thesis
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item.grantfulltext
open
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crisitem.author.dept
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung