Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery - Springer Theses - Nasrin Nasrollahi - Books - Springer International Publishing AG - 9783319120805 - November 27, 2014
In case cover and title do not match, the title is correct

Nasrin Nasrollahi
Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery - Springer Theses 2015 edition

Price
$ 106.49
excl. VAT

Ordered from remote warehouse

Expected to be ready for shipping Jun 30 - Jul 6

Our customers say:

14-day return policy in accordance with European consumer protection law
Top ranking on Trustpilot
Add to your iMusic wish list

Also available as:

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.

68 pages, 3 black & white illustrations, 38 colour illustrations, 5 black & white tables, biography

Media Books     Hardcover Book   (Book with hard spine and cover)
Released November 27, 2014
ISBN13 9783319120805
Publishers Springer International Publishing AG
Pages 68
Dimensions 242 × 166 × 12 mm   ·   308 g
Language English  

Mere med samme udgiver

See all of Nasrin Nasrollahi ( e.g. Hardcover Book and Paperback Book )