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. 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. 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. to Evaluate . Juniperus . spp. .. Pollen Phenology to Support a Pollen Dispersal Model, PREAM, to Support Public Health Allergy Alerts. Rationale:. . Juniperus spp.. pollen is a significant aeroallergen that can be transported 200-600 km from the source. Local observations of . 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 . 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. Formula Condition Answer Comment '=b true true '=a true true doesnotdependonandistherefore false false vacuouslytrueiniffistrue '=a^b false false doesnotdependon true;btrue true dependson :' istrue fa 2 Peter 2:2-3. 2 And many will follow their sensuality, and because of them the way of truth will be blasphemed. 3 And in their greed they will exploit you with false words. Their condemnation from long ago is not idle, and their destruction is not asleep.. Jack . Xiong. (NASA GSFC). and. MODIS Characterization Support Team. MODIS Science Discipline Representatives. University of Maryland University . College, Adelphi, . MD 20783 (May 17, 2011). Aqua. Terra. 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 . 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), . 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. Dongdong Wang, . Shunlin. Liang. Xueyuan. Gao, Meredith Brown. University of Maryland, College Park. 1. Outline. Background. Status of MCD18 C6 and C61 products. Product assessment. Alternate retrieval algorithms. 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), .