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

Name: Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Brand: Springer International Publishing AG
SKU: 9783319120805
Price: 105.3 EUR
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Автор: Nasrin Nasrollahi

Език:

Корици: С твърди корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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This thesis transforms satellite precipitation estimation through the integration of a multi-sensor,...

Информация за книгата

Автор

Nasrin Nasrollahi

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2014

страници

EAN

9783319120805

ISBN

3319120808

Enbook ID

06841767

Издател

Springer International Publishing AG

Теглоt

304

Размери

242 x 166 x 12

Пълно описание

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

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