Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Springer International Publishing (Verlag)
978-3-319-12080-5 (ISBN)
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.
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.
| Erscheint lt. Verlag | 27.11.2014 |
|---|---|
| Reihe/Serie | Springer Theses |
| Zusatzinfo | XXI, 68 p. 41 illus., 38 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 286 g |
| Themenwelt | Naturwissenschaften ► Biologie ► Ökologie / Naturschutz |
| Naturwissenschaften ► Geowissenschaften ► Geologie | |
| Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie | |
| Naturwissenschaften ► Physik / Astronomie ► Angewandte Physik | |
| Schlagworte | award-winning thesis • CloudSat precipitation data • CloudSat texts • current satellite precipitation products • false rain reduction • introduction to satellite precipitation • meteorology • MODIS satellite observations • multi-spectral satellite imagery • precipitation retrival algorithms • satellite-based precipitation estimation • satellite precipitation data • satellite precipitation measurements |
| ISBN-10 | 3-319-12080-8 / 3319120808 |
| ISBN-13 | 978-3-319-12080-5 / 9783319120805 |
| Zustand | Neuware |
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