Improving infrared-based precipitation retrieval algorithms using multi-spectral satellite imagery /

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Bibliographic Details
Author / Creator:Nasrollahi, Nasrin, author.
Imprint:Cham : Springer, [2014]
©2015
Description:1 online resource (xxi, 68 pages) : illustrations (some color).
Language:English
Series:Springer Theses, 2190-5053
Springer theses.
Subject:Precipitation (Meteorology) -- Remote sensing.
Infrared detectors.
Geography.
Infrared detectors.
Physical geography.
Precipitation (Meteorology) -- Remote sensing.
SCIENCE / Earth Sciences / Geography
SCIENCE / Earth Sciences / Geology
Infrared detectors.
Precipitation (Meteorology) -- Remote sensing.
Electronic books.
Electronic books.
Electronic books.
Format: E-Resource Dissertations Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11089402
Hidden Bibliographic Details
ISBN:9783319120812
3319120816
9783319120805
3319120808
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed December 19, 2014).
Summary: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 satellit.
Other form:Original 3319120808 9783319120805
Standard no.:10.1007/978-3-319-12081-2