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

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

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele v malém množství
Odesíláme za 11-15 dnů
2 567
This thesis transforms satellite precipitation estimation through the integration of a multi-sensor,...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2016
Stránek
68
EAN
9783319363325
ISBN
3319363328
Enbook ID
14208489
Hmotnost
1533
Rozměry
155 x 235 x 5

Kompletní popis

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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