PPT-Use of MODIS False Color to Monitor

Snowfall Snow melt and Thermal Belts Gina Loss Service Hydrologist Dave Bernhardt Science amp Operations Officer Great Falls Montana Why MODIS to monitor snow and river ice Montana is rural with a low population density. C. ollection 6 Ice . M. odel . A. ssessments with POLDER and CALIPSO. Ping Yang, . Souichiro. . Hioki. , . Jiachen. Ding . Department of Atmospheric . Sciences. Texas A&M University. In collaboration with . Eurico D’Sa. Dong-Shan Ko*, Mitsuko Korobkin, Nan Walker. Dept. of Oceanography and Coastal Sciences. Louisiana State University. *Naval Research Laboratory, Stennis Space Center. Thanks: NASA Ocean Color Data Processing Team . Collection 6 Improvements. Louis Giglio. 1. , . Wilfrid. Schroeder. 1. , Ivan Csiszar. 2. , Chris Justice. 1. 1. University of Maryland. 2. NOAA NESDIS. Collection 6 Algorithm . Refinements. Processing extended to oceans and other large water bodies. Land . Surface Temperature and . Emissivity (LST&E) Products.  . Glynn Hulley, . Simon . Hook. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA. (c) . 2014 . California Institute of Technology. Government sponsorship acknowledged. Data. R. Bradley Pierce. Ed . Eloranta. , Dave Turner, . Shobha. . Kondragunta. , . Pubu. . Ciren. , . Istvan. Laszlo, Ralph . Kuehn, Rick Wagener. NOAA GOES-R Air Quality Proving Ground . 3. rd.  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. . F. red Huemmrich, UMBC/GSFC . John Gamon, University of Alberta. We want to develop methods to use optical signals to estimate ecosystem carbon exchange. Examine the relationships between ecosystem production (GEP) and spectral reflectance. MODIS Science Team Meeting. 19 May 2011 – College Park, MD. Bryan Franz. and the. NASA Ocean Biology . Processing Group. Outline. How we define a Climate Data Record. How we achieve CDR quality. Results of latest reprocessing effort. Peter Minnett & BOB Evans. Rosenstiel School, University of Miami.. pminnett@rsmas.miami.edu. MODIS Science Team Meeting, April 2014.. Summary. MODIS SSTs are stable and of good accuracy. N. ew . M. odel . A. ssessments with POLDER and CALIPSO. Ping Yang, . Souichiro. . Hioki. , . Jiachen. Ding . Department of Atmospheric . Sciences. Texas A&M University. In collaboration with . Steven . Collection 6 ‘e-Deep Blue’ aerosol products. Andrew M. Sayer, N. Christina Hsu (PI). , Corey Bettenhausen, Nick Carletta, Jaehwa Lee, Colin Seftor, Jeremy Warner. Past team members: Ritesh Gautam, Jingfeng Huang, Myeong-Jae Jeong, Becky Limbacher, Clare Salustro. ARSET - AQ. A. pplied. . R. emote. . SE. nsing. . T. raining . –. . A. ir . Q. uality. A project of NASA Applied Sciences. Originally presented as part of:. NASA ARSET- AQ On-line Short Course.  . Robert . Wright. Hawaiʻi. Institute of Geophysics and Planetology, Honolulu, . HI.  . http://modis.higp.hawaii.edu. MODIS has detected volcanic thermal anomalies at over . 100 volcanoes since 2000. Collection 6 e-Deep Blue/Dark Target comparison and ‘merged’ aerosol products. 1. Images from NASA Earth Observatory, . http://earthobservatory.nasa.gov/Features/Aerosols/. Deep Blue group: . N. Christina Hsu (PI), .