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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 – PowerPoint PPT presentation

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Title: Remote Sensing at RSMAS


1
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
2
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

3
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.

4
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.

5
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
  • ..

6
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.

7
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.

8
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.

9
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.

10
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.

11
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.

12
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.

13
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

14
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

15
Water column correction
Original measured spectrum at surface, water
depth of 2 m.
Modeled bottom reflectance spectrum.
16
Acoustic Classification
  • Can acoustics augment hyperspectral
    classification in optically shallow water?
  • Can acoustics substitute for hyperspectral
    classification in optically deep water?

Gleason et al.
17
Field Studies
WAAS GPS
TSRB
Transducer Video
Echo Sounder Data Acquisition (QTCView System V)
18
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

19
MODIS images on RSMAS web pages SST
4µm SST Night. December 5, 2002
http//www.rsmas.miami.edu/groups/rrsl/modis/
20
Terra/Aqua Global DAY SST - Sept 29, 2002
Terra-day
Aqua-day
21
Composite Aqua, Terra SST Aqua, Terra combined
orbits nearly eliminate swath gaps Night, Sept
29, 2002
22
Nearly Complete Single Day CoverageComposite
Night (MODIS-T, MODIS-A) Day, Night - (AMSR,
TMI) Sept 29, 2002, 0.25o spatial resolution
23
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

24
MODIS images on RSMAS web pages Chl-a
December 1, 2002
25
Global Chlorophyll from MODIS
September 2001
26
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

27
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
28
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

29
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
30
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
31
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

32
(No Transcript)
33
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.

34
  • Peter Minnett 305 361 4104
  • pminnett_at_rsmas.miami.edu

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