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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery on Hardback by Nasrin Nasrollahi
Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery on Hardback by Nasrin Nasrollahi
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery

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Description

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.
Release date NZ
November 27th, 2014
Audience
  • Professional & Vocational
Illustrations
38 Illustrations, color; 3 Illustrations, black and white; XXI, 68 p. 41 illus., 38 illus. in color.
Pages
68
Dimensions
155x235x6
ISBN-13
9783319120805
Product ID
22794865

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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery by Nasrin Nasrollahi
$290.00
Improving Infrared-Based Precipitation Retrieval Algorithms Using...
by Nasrin Nasrollahi ~ Paperback / softback
Available - Usually ships in 3-4 weeks

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