NOAACREST Center and the New Satellite Data Acquisition Unit

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NOAA-CREST Center and the New Satellite Data
Acquisition Unit
National Oceanic and Atmospheric Administration
Cooperative Remote Sensing Science and Technology
Center
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Who are we?

• NOAA-CREST is a multi-disciplinary,
  multi-institutional Research and Education Center
  which came into existence in 2002, through a
  major grant provided by NOAAs Educational
  Partnership Program for Minority Supporting
  Institutions.
• CREST Center Director Prof Reza Khanbilvardi
• CREST Center Deputy Director Prof. Fred Moshary

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CREST Mission and Purpose

• To conduct research relevant to NOAA's missions
  of environmental assessment, prediction, and
  environmental stewardship
• To create a framework to recruit and train
  graduate minority students for professional
  opportunities within NOAA
• Develop collaborative research activities with
  NOAA scientists to help improve the capabilities
  of NOAA to describe and predict changes in the
  Earths environment

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What CREST brings to the table?

• Strong existing multidisciplinary scientific and
  engineering team
• Provide a career path for seamless transition for
  students into NOAA work force (recruitment and
  training), including minorities
• Creating synergy for joint scientific cooperation
  within NOAA (NESDIS, NWS, ARL, ETL and other NOAA
  Line Offices)

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Strategic Alliances

• Industry
• Raytheon summer internships, student
  fellowships, exchange of industry and university
  scientists, expansion of research agenda.
• Government
• New York State Dept. of State, Division of
  Coastal Resources
• SUNY Albany Atmospheric Research Center

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CREST PARTNERS
City University of New York City College
(Lead Institution) (CCNY)
Hampton University (HU)
University of Puerto Rico at Mayaguez (UPRM)
Bronx Community College
Bronx Community College (BCC)
Lehman College (LC)
Bowie State University (BSU)
Graduate Center (CGC)
Columbia University
Raytheon
University of Maryland Baltimore County (UMBC)
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Center Research Themes

• Air (Stratosphere and Troposphere)
• Land (Soil Moisture, Vegetation)
• Hydro-Climate (Precipitation Snowfall
  Rainfall, Validation)
• Coastal Technology Development (Data
  Compression, Bio-optical Properties of Coastal
  Waters)

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CCNY Rooftop Optical Remote Sensing
Multi-wavelength Lidar (355/532/1064
nm) Collaborator Michael Hardesty NOAA ETL
CIMEL Robotic Sunphotometer AERONET, GSFC
OpenPath FTIR
YES Inc. TS440 All Sky Camera
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Mobile Environmental Measurements
Mutiwavelength Truck Lidar

• Transmitter Coherent Infinity NdYAG
• 355,532,1064nm 300mJ 50Hz
• Receiver 20 F3.5 Dobsonian, Hamamatsu PMTs
• Data Acquisition 2 Channel Licel Transient
  Recorder, Gage 14 bit A/D

MEMLab Truck
Multifilter Rotating Shadowband Radiometer
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Urban Monitoring Infrastructure
GPS MET station
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New Satellite Data Acquisition Unit
Roof view of downtown
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Carbon monoxide composite from July12 to July 26,
2004 (MOPITT)
Strong pollution corridor seen from Alaska and
Yukon To North East
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Smoke Plumes Seen on July 21 MODIS Image
Smoke Plume
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Extinction (km-1) (532nm) Sa80 July 21
Smoke-Dust Plumes (not clouds by observation)
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Angstrom Coefficient to examine particulate mode
in plume
Data over different Far end boundary Conditions
and Sa ratios showing Robustness of Angstrom
coefficient In plume area.
Prof. Barry Gross et al.
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Hysplitfor vertical plumesat 1500 UTC
(11EDT)seen by our lidar.Track to north west
fires
Alaska Fires eject Plumes into High altitudes
Red Trajectory at 3000 meters does not carry the
smoke (consistent with the lidar)
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Hysplitfor 2000mpollution seen by our lidar.
Alaska Fires eject Plumes Even At lower altitudes
Blue Trajectory at 2000 meters also seems to be
Tracked to Alaska. (consistent with the lidar)
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Reflectance curves from the 2002 cruise in
Peconic Bay, Long Island
Spectral Algorithm Development for Sensing of
Coastal Waters
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Ratio algorithm performance Eastern Long Island
Blue / Green
NIR Spectral Ratio
In homogeneous waters where only Chlorophyll
varies Blue / Green works only in Case I NIR
Ratios work well in both Case I and Case II
Prof. Barry Gross et al.
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Absorption/Backscatter features
1- Chlorophyll absorption can be probed
effectively using 440-570 band ratios 2- In
presence of TSS and CDOM, Blue-Green ratios are
contaminated. 3- Red-NIR algorithms are much
less sensitive to TSS, CDOM. 4- The 670-710
channels effectively probe the ChL absorption
feature and the 730 channel effectively
calculates the backscatter since water abs
dominates
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Simulation
Blue-Green
Three Band NIR ratios
Very high spread in the Blue-Green Ratio due to
CDOM and TSS randomized variability. This aspect
is not relevant to the Red/NIR algorithms
Prof. Barry Gross et al.
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FUNDING OPPORTUNITIES UNDERGRADUATE AND
GRADUATE STUDENTS

• Research Fellowships
• Support for Undergraduate and Graduate Students
• Tuition and Stipend
• Student Exchange with Partner Institutions
• Summer Internships.
• At NOAA, NASA, NYC and NYS Agencies, Industry
• Stepping Stone to Permanent Jobs at NOAA, NASA,
  Raytheon, etc. in Remote Sensing Science and
  Engineering.
• ________________________
• High School Recruitment from Bronx High School of
  Science for National Ocean Science Bowl

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ACADEMIC YEAR FUNDING FOR STUDIES IN REMOTE
SENSING

• Basic knowledge and/or interest in Remote Sensing
  Research
• Tuition and Research Internships
• 5,000-10,000/year packages for undergraduates
• 12,000-30,000/year packages for graduate
  students (Masters and PhD)
• US Citizenship or Green Card Required

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OTHER OUTREACH ACTIVITIES

• SUCCESS STORIES
• Bronx High School of Science students win NOAA
  Ocean Science Bowl Regional Competition 2004 and
  advanced to National competition taking 4th place
  in nationals
• Development of second team for NOAA Ocean Science
  Bowl Competition at Samuel Gompers High School
  2005
• Fifteen high school science teachers in Bronx
  complete educational and training program related
  to earth/environmental science
• Nine high schools in the Bronx now offering
  college level advanced standing courses in
  biology, chemistry, environmental science and
  math.