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Hyperspectral Remote Sensing of Ocean Waters SPECTRAL Lab Department of Geography University of Vict

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Title: Hyperspectral Remote Sensing of Ocean Waters SPECTRAL Lab Department of Geography University of Vict


1
Hyperspectral Remote Sensing of Ocean
WatersSPECTRAL Lab Department of
GeographyUniversity of Victoria
Dr. Maycira Costa

2
RESEARCH TEAM
Eduardo Loos - Oceanographer Ph.D.
student Geography
Maycira Costa Bio. Oceanographer Nattan the
cutest of the group
Laurie Gallagher - Geographer M.Sc. Student SEOS
Chris Piller Env. Eng. M.Sc Student Geography
Thiago Silva - Biologist Nick Komick Ph.D.
Student Undergraduate Geography Geography
3
  • GENERAL GOALS.
  • Fluxes of bio-geo optical matter and others from
    land to the
  • ocean.
  • (biogeochemical processes, quantify human
    impacts)
  • Light field in the water column productivity,
    climate change.
  • NEPTUNE - Ocean Climate Dynamics and Effects
    on Marine Biota , Water Column Processes
  • Optimize biogeo-optical models for costal
    waters.
  • HERO (Hyperspectral Environment and Resources
    Observer)
  • Canadian Space Agency

4
SPECTRAL LAB CAPABILITIES
1. LAB
  • High Performance Liquid Chromatography (HPLC)
  • Pigment characterization
  • Dissolved organic material
  • Water analysis
  • -Inorganic suspended load
  • -Phytoplankton species
  • -pH
  • -Dissolved oxygen
  • -Conductivity
  • Dark room with water tank
  • Controlled lab experiments

5
2. FIELD Hyperspectral Instruments - HyperPro -
Satlantic
350-800nm, 135 channels, 3.3nm spectral sampling
6
Example of data acquired In-water - Irradiance
Downwelling Irradiance (Eu) uW/cm2/nm
7
Example of data acquired In-water - Radiance
Upwelling Radiance (Lu) uW/cm2/nm/sr
CTD, fluorescence
8
Example of data acquired In-water CTD,
flurescence
9
- HyperSAS - Satlantic
350-800nm, 135 channels, 3.3nm spectral sampling
Ed
Ls
Above-water
Lw
10
Example of data acquired Above-water
ES
LSKY
LWATER
Lw
11
How we operate in the field (small and large
vessels)
HyperSAS
Es
HyperPro
Water filtration
12
How we operate in the field
13
Temporary lab set up..
14
3. OPTICAL MODELLING Modelling Reflectance,
Absorption, and Backscattering to solve for the
water optical constituents
15
Optical modelling . Remote Sensing Reflectance
(Rrs (0)) HyperPro in-water Rrs(0) (Lu(0-,
0m) (1 ?(?,?)) / ?2) / Es HyperSAS
above water Rrs(0)above (LWATER (? LSKY))
/ Es
Rrs (0)
nm
16
  • Optical modelling .
  • HYDROLIGHT radiative transfer numerical model
    (Mobley, 2003)
  • Semi-analytical models

Absorption (m-1)
Rrs (0)
measured
nm
Backscattering (m-1)
modelled
Total
nm
17
Rrs (0)
nm
?1/ ?2 and bio-optical models
R20.73
R20.87
18
4. AIRBORNE AND SATELLITE IMAGERY inverse the
models. Hyperion Image
19
CASI Image
20
CASI Image Fraser plume
12 km
21
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22
Spatial variation of Chla
23
Spatial variation of TSS
24
Casi Roberts Bank habitats
Mosaic
Spectral classification
25
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26
SPECTRAL Lab Department of GeographyUniversity
of Victoria
Dr. Maycira Costamaycira_at_office.geog.uvic.ca
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