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614.1 Cryospheric Sciences Branch 614.1 Cryospheric Sciences Branch
614.2 Ocean Sciences Branch 614.2 Ocean Sciences Branch
614.3 Hydrological Sciences Branch 614.3 Hydrological Sciences Branch
614.4 Biospheric Sciences Branch 614.4 Biospheric Sciences Branch
614.5 Terrestrial Information Systems Branch 614.5 Terrestrial Information Systems Branch
614.6 Instrumentation Sciences Branch 614.6 Instrumentation Sciences Branch
Code 614 at Wallops Flight Facility Code 614 at Wallops Flight Facility

Code 614.4 Seminar: Yunyue Yu

Affiliation: NASA/GSFC NPOESS Preparatory Project
Event Date: Wednesday, June 8, 2005

Location: GSFC, Building 33, Room G133
Time: 12:00 PM

The Physical Principals Behind Satellite Sea Surface Temperature and Land Surface Temperature Measurements
Sea Surface temperature (SST) and land surface temperature (LST) are key proxies of earth surface energy and are used in a range of hydrological, meteorological and climatological applications. As needed for most modeling and climate analysis applications, sea surface temperature and land surface temperature products generated from polar orbiting meteorological satellite sensors have spatial resolutions from several hundred meters to several kilometers and have daily temporal resolution. Most LST and SST products are derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR) series, the EOS Moderate Resolution Imagery Spectroradiometer (MODIS) and the forthcoming Visible and Infrared Imagery Radiometer Suite (VIIRS), to be flown onboard the National Polar-orbit Operational Environmental Satellite System (NPOESS; launch ~2011) and NPOESS Preparatory Project (NPP; launch 2008). In this seminar, the physical principles underlying most satellite SST and LST measurements will be discussed through the analysis of different split-window algorithms. Results from a case study comparing heritage and NPOESS LST algorithms will be presented. The results suggest that the baseline NPOESS LST algorithm, which incorporates technologies adapted from recent SST algorithms, would degrade rather than improve performance versus heritage LST products.

Short bio-sketch of the presenter:
Yunyue Yu received a B.A. degree in physics from the Ocean University of Qingdao, China in 1982 and a Ph.D. degree from the University of Colorado, Boulder in 1996. After completing the Ph.D. degree, he studied satellite remote sensing for Earth surface applications as a principal scientist with Raytheon ITSS and as a senior scientist with George Mason University at NASA Goddard Space Flight Center (GSFC). He is now working for the NPOESS Preparatory Project at GSFC, particularly on operational algorithms for land biophysical products.


Posted or updated: Tuesday, July 12, 2005

Editor: Paul Przyborski


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