Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery - Springer Theses - Nasrin Nasrollahi - Grāmatas - Springer International Publishing AG - 9783319120805 - 2014. gada 27. novembris
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Nasrin Nasrollahi
Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery - Springer Theses 2015 edition

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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

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2014. gada 27. novembris
ISBN13 9783319120805
Izdevēji Springer International Publishing AG
Lapas 68
Izmēri 242 × 166 × 12 mm   ·   308 g
Valoda Angļu  

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