Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery - Couverture souple

Nasrollahi, Nasrin

 
9783319363325: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Couverture souple
ISBN 10 : 3319363328 ISBN 13 : 9783319363325
Editeur : Springer, 2016

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2016
Langue
anglais
ISBN 10 
3319363328
ISBN 13 
9783319363325
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
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Autres éditions populaires du même titre

9783319120805: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery

Edition présentée

ISBN 10 :  3319120808 ISBN 13 :  9783319120805
Editeur : Springer International Publishin..., 2014
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