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

von Nasrin Nasrollahi

68 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Springer Theses
• Themen: Geowissenschaften, Geographie, Umwelt, Planung Geowissenschaften Meteorologie und Klimatologie (Klimaforschung)
• ISBN: 9783319363325
• Sprache: Englisch
• Erscheinungsdatum: 10.09.2016
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing