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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery (Springer Theses)
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery (Springer Theses)
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Improving Infrared-based Precipitation Retrieval Algorithms Using Multi-spectral Satellite Imagery
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Add to basketHardcover. Condition: Brand New. 2015 edition. 68 pages. 9.00x6.00x0.25 inches. In Stock.
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Taschenbuch. Condition: Neu. Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery | Nasrin Nasrollahi | Taschenbuch | Previously published in hardcover | xxi | Englisch | 2016 | Springer | EAN 9783319363325 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Language: English
Published by Springer International Publishing, Springer International Publishing Nov 2014, 2014
ISBN 10: 3319120808 ISBN 13: 9783319120805
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Buch. Condition: Neu. Neuware -This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved.The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed 'big data.' The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 92 pp. Englisch.
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Add to basketPaperback. Condition: Brand New. reprint edition. 92 pages. 9.25x6.10x0.22 inches. In Stock.
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Language: English
Published by Springer International Publishing, 2014
ISBN 10: 3319120808 ISBN 13: 9783319120805
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved.The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed 'big data.' The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Language: English
Published by Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319363328 ISBN 13: 9783319363325
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved.The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed 'big data.' The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved.The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed "big data." The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.
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Improving Infrared-based Precipitation Retrieval Algorithms Using Multi-spectral Satellite Imagery
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery (Publisher series: Springer Theses Recognizing Outstanding PH.D Research.)
Published by Springer 978-3-319-12080-5, Cham
ISBN 10: 3319120808 ISBN 13: 9783319120805
Seller: Burton Lysecki Books, ABAC/ILAB, Winnipeg, MB, Canada
Seller rating 4 out of 5 stars
[978-3-319-12080-5] 2015. (Hardcover) Fine, no dust jacket. 68pp. Black & white and color illustrations, tables, formulas, references. Publisher series: Springer Theses Recognizing Outstanding PH.D Research. (Science, Earth Sciences, Science).
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Condition: new. Questo è un articolo print on demand.
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Language: English
Published by Springer International Publishing Nov 2014, 2014
ISBN 10: 3319120808 ISBN 13: 9783319120805
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved.The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed 'big data.' The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation. 92 pp. Englisch.
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Language: English
Published by Berlin Springer International Publishing Springer Sep 2016, 2016
ISBN 10: 3319363328 ISBN 13: 9783319363325
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space.Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved.The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed 'big data.' The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation. 68 pp. Englisch.
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Language: English
Published by Springer International Publishing, 2014
ISBN 10: 3319120808 ISBN 13: 9783319120805
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated by the University of California, Irvine, USA, as an outstanding Ph.D. thesisPresents data sets that reduce false rain signals in satellite precipitation measurementsProvides advances in the accuracy of satellite-based precipitatio.
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Language: English
Published by Springer International Publishing, 2016
ISBN 10: 3319363328 ISBN 13: 9783319363325
US$ 111.25
US$ 56.90 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated by the University of California, Irvine, USA, as an outstanding Ph.D. thesisPresents data sets that reduce false rain signals in satellite precipitation measurementsProvides advances in the accuracy of satellite-based precipitatio.
-
Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Language: English
Published by Springer International Publishing, 2014
ISBN 10: 3319120808 ISBN 13: 9783319120805
Buch. Condition: Neu. Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery | Nasrin Nasrollahi | Buch | xxi | Englisch | 2014 | Springer International Publishing | EAN 9783319120805 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
