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Remote Sensing and Monitoring Ice Conditions in the Great Lakes ... Special chart, derived from NAIS ice analysis, designed specifically for Coast Guard operations ... – PowerPoint PPT presentation

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Title: A presentation by


1
Remote Sensing and Monitoring Ice Conditions in
the Great Lakes
A presentation by Craig J. Evanego - U.S.
National Ice Center
2
Overview The Use of Remotely Sensed Data for
Great Lakes Ice Analysis
  • I. Purpose Importance of monitoring ice
    conditions in the Great Lakes
  • II. Present Existing data sources
  • III. Future Capabilities/advantages of a new
    data source

3
North American Ice Service (NAIS)
4
NAIS Mission
  • Combine strengths of each Ice Center
  • Offer an integrated ice information service for
    North America
  • High quality and consistency
  • Single point-of-access for users
  • Optimize resources of both countries reduce
    duplication of effort
  • Data access, system development, research, etc
  • Built around a common public suite of products
  • Each center maintains ability to provide service
    for individual clients independently

5
NAIS Ice Analysis of the Great Lakes
6
Typical Ice Conditions in the Great Lakes
7
Importance of Monitoring Ice Conditions in the
Great Lakes
  • Aid the Safety of Winter Navigation and Coast
    Guard Operations

2) Monitoring Climate Variability and Change
8
Monitoring Great Lakes Ice Conditions to Aid
Safety of Navigation
9
Monitoring Great Lakes Ice Conditions to Aid
Safety of Navigation
  • Special chart, derived from NAIS ice analysis,
    designed specifically for Coast Guard operations
  • Shows thickest forms of ice present across the
    Great Lakes

10
Monitoring Great Lakes Ice Cover to Monitor
Climate Variability Change
from Assel (2003)
from Assel et al (2003)
  • Great Lakes ice cover is a sensitive indicator of
    regional climate and climate change (Assel and
    Rodionov, 1998)

11
NAIS Ice Analysis of the Great Lakes
Primary Remote Sensing Data Sources
  • Synthetic Aperture Radar (SAR)
  • - RADARSAT
  • - ENVISAT

2. Moderate Resolution Imaging Spectroradiometer
(MODIS)
3. DMSP Operational Linescan System (OLS)
4. Advanced Very High Resolution Radiometer
(AVHRR)
5. Geostationary Operational Environmental
Satellites (GOES)
12
Great Lakes SAR imagery
  • Primary data source for the NAIS Great Lakes ice
    analysis
  • Currently using data from Radarsat-1 and Envisat
  • Advantages
  • SAR imagery is all-weather
  • Excellent spatial resolution (ScanSAR Wide Mode
    100 m)
  • Using ScanSAR Wide mode, can get complete
    coverage of Lakes 2-3 times per week.

13
Great Lakes SAR imagery - Annotated
14
Explanation of the WMO Egg Code
15
Explanation of Coding for Lake Ice
Ice Type Code Thickness New Ice 1
0-10 cm Thin Lake Ice 4 10-15 cm Medium
Lake Ice 5 15-30 cm Thick Lake Ice 7
30-70 cm Very Thick Lake Ice 1 gt70 cm
16
Great Lakes SAR imagery - Annotated
17
Great Lakes SAR imagery - Annotated
18
Great Lakes MODIS imagery
  • Along with SAR, an important data source for the
    NAIS Great Lakes ice analysis.
  • Advantages
  • Good spatial resolution (up to 250 m)
  • Available in true color
  • Data available over entire Lakes region each day
  • Available, in GeoTiff format, from sites on WWW

19
Great Lakes MODIS imagery
March 12, 2006
20
Great Lakes MODIS imagery NOAA Coastwatch
21
Great Lakes MODIS imagery
  • True color
  • Visible imagery
  • High spatial resolution at 250 m.
  • GeoTiff format ideal for use in NIC analysis.

22
Great Lakes MODIS imagery
Visible MODIS image from December 2, 2005 (Note
new ice forming along western shore of southern
Green Bay.)
23
Great Lakes MODIS imagery - Annotated
24
Great Lakes DMSP OLS imagery
  • Another commonly used data source, used in
    conjunction with SAR and MODIS data, for the NAIS
    Great Lakes ice analysis.
  • Advantages
  • Good spatial resolution (up to 550 m)
  • Data available over entire Lakes region each day

25
Great Lakes DMSP OLS imagery - Annotated
26
NAIS Analysis Software
  • Based on ESRIs ArcGIS software
  • Allows for editing of lines and egg code
    attributes, as well as chart generation

27
Ice Analysis in the Future
  • RADARSAT-2
  • Expected launch in December of 2006.
  • RADARSAT-2 will have the capability to send and
    receive both H and V in four states HH, HV, VH,
    and VV
  • 1st commercial spaceborne SAR to offer
    quadrature-polarimetry ("quad-pol") capability
  • Polarimetric data could be used to locate
    regions of severe ice deformation, which is a
    primary concern for winter navigation in the
    Great Lakes

28
Multiple Polarization RADARSAT-2 vs. its
Predecessors
  • Polarimetric data available on RADARSAT-2 will
    enable analysts to better interpret regions of
    ice deformation.

29
Use of Polarimetric Data to Identify Region of
Severe Ice Deformation
30
Multiple Polarization Cross-Polarization
HH- polarized
HV- polarized
(from Van der Sanden and Ross, 2001)
31
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