Brown Bag Seminar: Yunyue Yu

NASA/GSFC NPOESS Preparatory Project
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 in 1982 from the Ocean University of Qingdao, China and a Ph.D. degree in 1996 from the University of Colorado, Boulder. After completing a 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.