PPT-MODIS/VIIRS Surface Reflectance

Eric Vermote NASA GSFC Code 619 ericfvermotenasagov     MODISVIIRS Science Team Meeting June 6June 10 Silver Spring MD A Land Climate Data Record Multi instrumentMulti sensor Science Quality Data Records used to quantify trends and changes. source sensor surface element normal brPage 3br BRDF Bidirectional Reflectance Distribution Function T I source viewing direction surface element normal incident direction I T I T surface I T surface I T Irradiance at Surface in direction I T Radian Steve Miller . (. Steven.Miller@colostate.edu. ). Updated: 27 July 2012. Lunar Spectral Irradiance Model. Miller and Turner, 2009. IEEE Trans. . Geosci. . Rem. Sens., 47(7), 2316-2329. . A . lunar irradiance prediction model . Ocean Science Team . Break-. out. Report. MODIS Science Team Meeting. 19-22 . May . 2015, Silver Spring, . MD. May . 20. Ocean Break-out Agenda. Ocean Break-out Agenda. May . 21. MODIS & VIIRS Ocean Processing Status. Ocean Science Team . Break-out. MODIS Science Team Meeting. 19-22 . May . 2015, Silver Spring, . MD. May . 20. Ocean Break-out Agenda. Ocean Break-out Agenda. May . 21. A.29 . Suomi. National Polar-orbiting . Dan . Sauceda. Outline. Information on the Region. Data Information. Reflectance Equations. MODIS Images. NDVI. Conclusions. Information on the Region. Latitude: 0. ˚N, -12˚S. Longitude: -56˚. E, -72.  VIIRS AOD. Robert Levy. . (NASA-GSFC). Shana . Mattoo. , Leigh . Munchak. . (SSAI @ NASA-GSFC). Falguni. . Patadia. (GESTAR/Morgan State Univ. @ NASA-GSFC). Lorraine Remer (JCET-UMBC). VIIRS-2013 College Park, MD, November 2013. Eric . Vermote . et . al.. NASA . Goddard Space Flight Center Code . 619. Eric.f.vermote@nasa.gov.  .  . LCLUC Spring Meeting, April 12-14, Hilton, Rockville, MD. Home . page: . http://modis-sr.ltdri.org. 2. . NOAA/STAR; 3. UMBC JCET; 4. UMD ESSIC; 5. SRG. Introduction. Surface reflectance ratios are crucial to the VIIRS (Visible Infrared Imaging Radiometer Suite) aerosol optical thickness (AOT) retrieval over land for dark pixels.  Having better estimates of these ratios can improve AOT retrievals.  . Chengquan. Huang. 1,2. . Min Feng. 1,2. , . Joseph O. . Sexton. 1,2. , . Raghuram. . Narasimhan. 1,2. , . Saurabh. . Channan. 1,2. , Jeff . Masek. 3. , Eric . Vermote. 2. , . Feng. Gao. 4. , John Townshend. 2. . NOAA/STAR; 3. UMBC JCET; 4. UMD ESSIC; 5. SRG. Introduction. Surface reflectance ratios are crucial to the VIIRS (Visible Infrared Imaging Radiometer Suite) aerosol optical thickness (AOT) retrieval over land for dark pixels.  Having better estimates of these ratios can improve AOT retrievals.  . Near nadir imagers do not provide the multi-angle observations necessary to capture the multi-angle reflective character described by the surface BRDF. Therefore, the Landsat albedo algorithm couples atmospherically corrected 30m Landsat . 1 MODIS and VIIRS Instrument Status Jack Xiong and Jim Butler Code 618.0, NASA Goddard Space Flight Center, Greenbelt, MD 20771 MODIS and VIIRS Science Team Meeting, Silver Spring, MD (June 06-10, 2016) Robert C. Levy (NASA-GSFC). robert.c.levy@nasa.gov. Shana . Mattoo. , Leigh . Munchak. . and Richard . Kleidman. . (SSAI/GSFC). Lorraine Remer. . (UMBC/JCET), . Falguni. . Patadia. (MSU/GSFC), . GOES-R Algorithm Working Group Aerosol, Atmospheric Chemistry and Air Quality (AAA) Application Team. 1. Presentations. Suspended Matter/Aerosol Optical Depth Algorithm – . Istvan. Laszlo, STAR. Aerosol Detection Algorithm – .