Springer Theses

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

Authors: Nasrollahi, Nasrin

  • 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
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-12081-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-12080-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 27, 2016
  • ISBN 978-3-319-36332-5
  • Free shipping for individuals worldwide
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.

Table of contents (7 chapters)

  • Introduction to the Current State of Satellite Precipitation Products

    Nasrollahi, Nasrin

    Pages 1-5

  • False Alarm in Satellite Precipitation Data

    Nasrollahi, Nasrin

    Pages 7-12

  • Satellite Observations

    Nasrollahi, Nasrin

    Pages 13-20

  • Reducing False Rain in Satellite Precipitation Products Using Cloudsat Cloud Classification Maps and Modis Multi-spectral Images

    Nasrollahi, Nasrin

    Pages 21-32

  • Integration of CloudSat Precipitation Profile in Reduction of False Rain

    Nasrollahi, Nasrin

    Pages 33-41

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-12081-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-12080-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 27, 2016
  • ISBN 978-3-319-36332-5
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Authors
Series Title
Springer Theses
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-12081-2
DOI
10.1007/978-3-319-12081-2
Hardcover ISBN
978-3-319-12080-5
Softcover ISBN
978-3-319-36332-5
Series ISSN
2190-5053
Edition Number
1
Number of Pages
XXI, 68
Number of Illustrations and Tables
3 b/w illustrations, 38 illustrations in colour
Topics