<div class="csl-bib-body">
<div class="csl-entry">Zhang, J. (2004). <i>Spatial and statistical analysis of thermal satellite imagery for extraction of coal fire related anomalies</i> [Dissertation, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-12531</div>
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In der Arbeit wird eine Methode vorgestellt, um Kohlefeuer aus thermischen Anomalien in Landsat-7 Kanal 6 Daten zu bestimmen.<br />
de
dc.description.abstract
Coal fires not only cause losses of natural resources, but also cause severe environmental problems. The study undertaken in this thesis focuses on the development of a practical approach for the extraction of coal fire related thermal anomalies at the land surface over large areas using remote sensing data sets. An overview of the theory and case studies on detecting coal fires using remote sensing techniques is given in a literature review. From field measurements, it is known that the temperature variance caused by uneven solar heating can mask thermal anomalies related to coal fires. Predawn is the optimum time for coal fire detection by using thermal remote sensing techniques. Through analyses of the statistical characteristics of the thermal anomalies in different scenes of night-time Landsat-7 ETM+ band 6 images, it is shown that the mean and the standard deviation values of a coal fire related thermal anomaly on ETM+ images are higher than its background. A practical approach for the extraction of coal fire related thermal anomalies in a large area using Landsat-7 band 6 data was developed in this study. Using the thermal anomalies automatically extracted from Landsat-7 ETM+ thermal data based on this algorithm, plus the land cover information derived from the multi-spectral non-thermal bands, the areas with a high potential for coal fire occurrence can be defined.<br />
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
Spatial and statistical analysis of thermal satellite imagery for extraction of coal fire related anomalies
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Jianzhong Zhang
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Wagner, Wolfgang
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tuw.publication.orgunit
E120 - Institut für Photogrammetrie und Fernerkundung
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dc.type.qualificationlevel
Doctoral
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dc.identifier.libraryid
AC04136355
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dc.description.numberOfPages
166
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-12531
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dc.thesistype
Dissertation
de
dc.thesistype
Dissertation
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
item.languageiso639-1
en
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item.fulltext
with Fulltext
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item.openaccessfulltext
Open Access
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item.mimetype
application/pdf
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item.openairetype
doctoral thesis
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item.grantfulltext
open
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item.openairecristype
http://purl.org/coar/resource_type/c_db06
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item.cerifentitytype
Publications
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crisitem.author.dept
E122 - Institut für Photogrammetrie und Fernerkundung