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

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

byNasrin Nasrollahi

Hardcover | November 27, 2014

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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.

Title:Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite ImageryFormat:HardcoverDimensions:68 pagesPublished:November 27, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319120808

ISBN - 13:9783319120805

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Table of Contents

Introduction to the Current States of Satellite Precipitation Products.- False Alarm in Satellite Precipitation Data.- Satellite Observations.- Reducing False Rain in Satellite Precipitation Products Using CloudSat Cloud Classification Maps and MODIS Multi-Spectral Images.- Integration of CloudSat Precipitation Profile in Reduction of False Rain.- Cloud Classification and its Application in Reducing False Rain.- Summary and Conclusions.