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

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Kurzbeschreibung

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.

Details
Schlagworte

Titel: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Autoren/Herausgeber: Nasrin Nasrollahi
Aus der Reihe: Springer Theses
Ausgabe: Softcover reprint of the original 1st ed. 2015

ISBN/EAN: 9783319363325

Seitenzahl: 68
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 156 g
Sprache: Englisch

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