PDF-Reprojecting MODIS Images

1Removes Bowtie Artifacts2Allows geographic overlays eg coastline city locations3Makes pretty pictures for publication on the web or in print4Allows collocation with other sensors or measurem. 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 . 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. Jacob Anderson. Mentor: Gregory . Leptoukh. Research Objectives. Based on previous research determine the variables that most affect MODIS bias. Find which MODIS aerosol algorithm works better over coastal regions. 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. 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. 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 . Eric Vermote. NASA GSFC Code 619. eric.f.vermote@nasa.gov.  .  . . . MODIS/VIIRS Science Team Meeting, June 6-June 10, Silver Spring, MD. A Land Climate Data Record. Multi instrument/Multi sensor Science Quality Data Records used to quantify trends and changes. 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), .