Remote Sensing at RSMAS

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Remote Sensing at RSMAS a new NESDIS connection

• Peter J. Minnett
• Meteorology and Physical Oceanography
• Rosenstiel School of Marine and Atmospheric
  Science
• University of Miami

CIMAS Review February 20, 2003
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Background

• Dr. Eric Bayler, Chief of Ocean Research and
  Applications at NESDIS intends to establish a new
  core funding line through CIMAS to support Ocean
  Remote Sensing at RSMAS.
• Activities to support NESDIS objectives.
• To complement new Cooperative Institute for Ocean
  Remote Sensing to be set up at Oregon State
  University.
• Anticipated initial funding 250,000 yr-1

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Outline

• Critical mass at RSMAS in several aspects of
  ocean remote sensing.
• Examples of appropriate research topics
• Innovative optical-acoustic remote sensing in
  shallow water.
• MODIS SST and chlorophyll-a developments.
• SST validation.
• SST application hurricane prediction.
• High resolution winds and waves from X-Band radar
  on Explorer of the Seas.

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RSMAS UM AOML

• At RSMAS, at least 25 Faculty members involved in
  satellite remote sensing.
• In the Department of Physics
• Dr. H. Gordon
• Dr. K. Voss
• At NOAA AOML
• Dr. K. Katsaros
• A large group on AOML staff members.

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Science Teams

• RSMAS Faculty serve on
• at least 6 NASA Science Teams.
• 2 ESA Envisat Science Advisory Groups.
• The GODAE High Resolution SST Pilot Project
  Science Team
• ..

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Remote sensing strengths

• People expertise, international recognition.
• CSTARS world-class facility.
• Inventory of instruments, including ASIS.
• Ships Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits Internet-2, DOMSAT.
• Links with AOML.

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Remote sensing strengths

• People expertise, international recognition.
• CSTARS world-class facility.
• Inventory of instruments, including ASIS.
• Ships Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits Internet-2, DOMSAT.
• Links with AOML.

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Remote sensing strengths

• People expertise, international recognition.
• CSTARS world-class facility.
• Inventory of instruments, including ASIS.
• Ships Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits Internet-2, DOMSAT.
• Links with AOML.

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Remote sensing strengths

• People expertise, international recognition.
• CSTARS world-class facility.
• Inventory of instruments, including ASIS.
• Ships Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits Internet-2, DOMSAT.
• Links with AOML.

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Remote sensing strengths

• People expertise, international recognition.
• CSTARS world-class facility.
• Inventory of instruments, including ASIS.
• Ships Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits Internet-2, DOMSAT.
• Links with AOML.

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Remote sensing strengths

• People expertise, international recognition.
• CSTARS world-class facility.
• Inventory of instruments, including ASIS.
• Ships Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits Internet-2, DOMSAT.
• Links with AOML.

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Remote sensing strengths

• People expertise, international recognition.
• CSTARS world-class facility.
• Inventory of instruments, including ASIS.
• Ships Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits Internet-2, DOMSAT.
• Links with AOML.

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NESDIS - CIMAS

• Candidate priority areas
• Visible hyperspectral imagery in coastal areas
• Atmospheric corrections for ocean color and SST
• Validation of SST, for the climate record
• Improved coastal forecasting using satellite data
• Applications of ocean color data to fisheries
• Assimilation of satellite data in ocean models
• High resolution wind speeds from SAR and radar
  scatterometry
• Air-sea interaction in the tropical oceans,
  including absorption of insolation in the water
  column

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Examples of relevant RSMAS research

• Hyperspectral measurements in the coastal ocean
• SST from MODIS
• Chlorophyll from MODIS
• Accurate validation of SSTs
• Improved coastal forecasting using satellite data
• High resolution winds and waves from X-Band Radar

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Water column correction
Original measured spectrum at surface, water
depth of 2 m.
Modeled bottom reflectance spectrum.
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Acoustic Classification

• Can acoustics augment hyperspectral
  classification in optically shallow water?
• Can acoustics substitute for hyperspectral
  classification in optically deep water?

Gleason et al.
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Field Studies
WAAS GPS
TSRB
Transducer Video
Echo Sounder Data Acquisition (QTCView System V)
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Examples of relevant RSMAS research

• Hyperspectral measurements in the coastal ocean
• SST from MODIS
• Chlorophyll from MODIS
• Accurate validation of SSTs
• Improved coastal forecasting using satellite data
• High resolution winds and waves from X-Band Radar

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MODIS images on RSMAS web pages SST
4µm SST Night. December 5, 2002
http//www.rsmas.miami.edu/groups/rrsl/modis/
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Terra/Aqua Global DAY SST - Sept 29, 2002
Terra-day
Aqua-day
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Composite Aqua, Terra SST Aqua, Terra combined
orbits nearly eliminate swath gaps Night, Sept
29, 2002
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Nearly Complete Single Day CoverageComposite
Night (MODIS-T, MODIS-A) Day, Night - (AMSR,
TMI) Sept 29, 2002, 0.25o spatial resolution
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Examples of relevant RSMAS research

• Hyperspectral measurements in the coastal ocean
• SST from MODIS
• Chlorophyll from MODIS
• Accurate validation of SSTs
• Improved coastal forecasting using satellite data
• High resolution winds and waves from X-Band Radar

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MODIS images on RSMAS web pages Chl-a
December 1, 2002
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Global Chlorophyll from MODIS
September 2001
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Examples of relevant RSMAS research

• Hyperspectral measurements in the coastal ocean
• SST from MODIS
• Chlorophyll from MODIS
• Accurate validation of SSTs
• Improved coastal forecasting using satellite data
• High resolution winds and waves from X-Band Radar

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In Situ Validation Data

• Explorer cruise tracks that provide bias
  reference
• Drifting buoys, used to compute SST equation
  retrieval coefficients
• M-AERI cruise tracks, final validation suite

Drifting Buoys
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Examples of relevant RSMAS research

• Hyperspectral measurements in the coastal ocean
• SST from MODIS
• Chlorophyll from MODIS
• Accurate validation of SSTs
• Improved coastal forecasting using satellite data
• High resolution winds and waves from X-Band Radar

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Hurricane Isidores Cold WakeCombined IR,
Microwave SST provides daily 0.25 deg resolution
SST field and the ability to better forecast
hurricane intensification
Sept 26, 2002 MODIS AQUA, Terra, AMSR, TMI
Composite
Reynolds Objectively Interpolated SST week prior
to hurricane passage
Isidore
Cold Wake
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Ocean Upper Heat ContentReduction of heat
content reduces energy available to support
hurricane intensification.Use of low resolution,
prior week interpolated data field does not
adequately capture reduction of heat content,
combined IR/MW SST provides more accurate
assessment leading to improved hurricane
forecast, using SHIPS. This research is in
collaboration with the National Hurricane Center.

Reynolds SST based heat content
Combined IR, µw SST based heat content
From Nick Shay, RSMAS- MPO Sean White, AOML
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Examples of relevant RSMAS research

• Hyperspectral measurements in the coastal ocean
• SST from MODIS
• Chlorophyll from MODIS
• Accurate validation of SSTs
• Improved coastal forecasting using satellite data
• High resolution winds and waves from X-Band Radar

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Summary

• We look forward to a new, strong and beneficial
  link to NESDIS through CIMAS to support research
  in Satellite Oceanography, to enhance current
  projects and support new ones.

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• Peter Minnett 305 361 4104
• pminnett_at_rsmas.miami.edu