Overview
- Nominated by the University of California, Irvine, USA, as an outstanding Ph.D. thesis
- Presents data sets that reduce false rain signals in satellite precipitation measurements
- Provides advances in the accuracy of satellite-based precipitation estimation
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (7 chapters)
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Front Matter
Keywords
- CloudSat precipitation data
- CloudSat texts
- MODIS satellite observations
- award-winning thesis
- current satellite precipitation products
- false rain reduction
- introduction to satellite precipitation
- multi-spectral satellite imagery
- precipitation retrival algorithms
- satellite precipitation data
- satellite precipitation measurements
- satellite-based precipitation estimation
- meteorology
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Authors: Nasrin Nasrollahi
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-12081-2
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-12080-5Published: 27 November 2014
Softcover ISBN: 978-3-319-36332-5Published: 10 September 2016
eBook ISBN: 978-3-319-12081-2Published: 07 November 2014
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXI, 68
Number of Illustrations: 3 b/w illustrations, 38 illustrations in colour
Topics: Atmospheric Sciences, Geophysics and Environmental Physics, Meteorology, Environmental Physics