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Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Nasrin Nasrollahi
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Description for Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
Hardback. Series: Springer Theses. Num Pages: 68 pages, 3 black & white illustrations, 38 colour illustrations, 5 black & white tables, biography. BIC Classification: PHVG; RBP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 6. Weight in Grams: 311.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2014
Series
Springer Theses
Condition
New
Weight
303g
Number of Pages
68
Place of Publication
Cham, Switzerland
ISBN
9783319120805
SKU
V9783319120805
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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