PPT-The dark-target aerosol remote sensing from MODIS, circa 2011

Robert Levy SSAI and NASAGSFC Shana Mattoo SSAI and NASAGSFC Lorraine Remer GSFC Bill Ridgway SSAI and NASAGSFC Junqiang Sun Sigma and NASAGSFC Steve Platnick GSFC . VIIRS Aerosol Cal/Val Team. VIIRS Aerosol Science and Operational Users Workshop November 21-22, 2013. 1. Outline. VIIRS Aerosol Products. Environmental Data Record (EDR). Intermediate Product (IP). Presented by Lorraine A. Remer. NASA/Goddard Space Flight Center. Basis of remote sensing. Remote sensing of clouds and aerosols. Observations of aerosol modification of cloud microphysics. 3.1 Explanation. 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. MODIS Aerosols Observations . over Cities: . Long Term Trends and Air . Quality . Gupta Pawan. 1,2. , Robert Levy. 2. , et al., (MODIS Dark Target Aerosol Team). 1. GESTAR Universities Space Research Associations. Jeff Dozier – UCSB. NASA Snow Remote Sensing Workshop. Boulder, August 2013. Different concepts in different parts of spectrum. Visible, near-infrared, and infrared. Independent scattering. Weak polarization. Bot/. Geog. 4111/5111. Ken Driese. Dept. of Botany . Group Activity: . Solving Remote Sensing Problems. How could you assess the effect of drought on plant biomass in California?. How could you map sage grouse habitat in Wyoming?. ECNU, China. 3. . June 2011. Part. 3. Kathleen . Strabala. Cooperative Institute for Meteorological Satellite Studies. Space Science and Engineering Center. University of Wisconsin-Madison. MODIS Aerosol Product. Lecturer. Ruba. . Yousif. . Hussain. Third Year. 1. Concepts and Foundations of Remote Sensing. Remote Sensing. Remote Sensing is the collection of data without directly measuring the object. It relies on the reflectance of natural or emitted electromagnetic radiation.. Corresponding author (phil.teillet@ccrs.nrcan.gc.ca). 1. INTRODUCTION Over the next few years, the nature of remote and in situsensing and their relationship with the Internet will change drastically 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. 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. Colour. Composite. Dr. . Kaustuv. Mukherjee. Assistant Professor. Department of Geography. Chandidas. . Mahavidyalaya. Remote sensing is an art and science of obtaining information about an object or feature without physically coming in contact with that object or feature..