Improvement in Humidity Profile Retrieval for Hyperspectral Sounder Using Principal Component-Based Regression Algorithm

This study is an application of the hybrid regression method to improve the accuracy of retrieved humidity profile from infrared hyperspectral sounding observations. In hybrid regression method, a weighted average of two regression products that are derived using two different forms of predictand is...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 8; H. 6; S. 3193 - 3198
Hauptverfasser:	Bisht, Jagat Singh Heet, Thapliyal, Pradeep Kumar, Shukla, Munn Vinayak, Kumar, Raj
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	Accuracy Atmospheric measurements Atmospheric modeling Humidity Hybrid regression hyperspectral infrared atmospheric sounding interferometer (IASI) principal component Principal component analysis Satellites Temperature measurement principal component infrared atmospheric sounding interferometer (IASI) hyperspectral Hybrid regression
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
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