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

By Nasrin Nasrollahi

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 3319120808
• ISBN13: 9783319120805
• Release Date: November 2014
• Publisher: Springer
• Length: 68 Pages
• Weight: 0.68 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"