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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery - Springer Theses Nasrin Nasrollahi 2015 edition
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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery - Springer Theses
Nasrin Nasrollahi
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
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 27. novembra 2014 |
| ISBN13 | 9783319120805 |
| Založniki | Springer International Publishing AG |
| Strani | 68 |
| Dimenzije | 242 × 166 × 12 mm · 308 g |
| Jezik | Angleščina |
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