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portada Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Type
Physical Book
Author
Publisher
Language
English
Pages
68
Format
Paperback
Dimensions
23.4x15.6x0.5 cm
Weight
0.14 kg.
ISBN13
9783319363325
Categories

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

Nasrin Nasrollahi (Author) · Springer · Paperback

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

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

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.

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