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Towards continental-scale operational ocean & coastal
monitoring using Earth Observation data in Australia
… from a CSIRO perspective
Schroeder T., King E., Steven A., Brando V. and Dekker A.
27-28 May 2015 Blue Planet Symposium, Cairns, Australia
CSIRO OCEANS & ATMOSPHERE FLAGSHIP
Image Credit: NASA
Suomi NPP VIIRS
Austral Summer 21 Dec - 20 Mar 2012
 2009 Australian Strategic Plan for Earth Observation
from Space (EOS) report
 2013 Australia’s Satellite Utilisation Policy
Development National EOS Infrastructure Plan (not released)
 2013 Space Coordination Office
 2014 National Marine Science Plan Infrastructure
White Paper
Policy context
Australia’s marine jurisdiction
Australia’s marine jurisdiction
Prepared by the Oceans Policy Science Advisory Group
2013
Declining water quality
Coastal developments
Climate change
Fishing
Biodiversity threats
Bleaching
Sea Surface Temperature
Cyclones
Crown of Thorns Starfish
Earth Observation (EO) has come a long way
Ever increasing data volumes
Image Credit: NASA
Julius Neubronner German pharmacist - patent 1908
Spy pigeon
0.1
2
10
19
0
50
100
150
200
250
RevisitFrequency(days)
SpectralBands
g
S2 MSI
Hyspiri
HICO
SPOT
Landsat
MERISOLCI
MODIS
VIIRS
GOCI
Spatial resolution [m]
Spectral bands
Revisit frequency [days]
Resolution trade-off (spectral, spatial, temporal)
See also presentations by
Cedric Robillot Wed 27th 15:40
Emlyn Jones Thu 28th 09:30
Mark Baird Thu 28th 10:00
http://www.bom.gov.au/marinewaterquality
“eReefs will provide unprecedented access to an
Integrated system of data, simulation and forecasting
models and visual products that can embedded in
decision making and improve our understanding of
Risks, pressures and responses of the whole
Great Barrier Reef system.”
The eReefs project
(Courtesy: Dr Mark Baird & Team)
eReefs - Modeling ocean colour (reflectance)
Data assimilation
Bio-geochemical model
Modeled ocean colour
Satellite
 Common analytical framework for large volumes
of regular gridded scientific data (PetaBytes)
 Uses National Computational Infrastructure
 First data set to be transformed into the AGDC is the entire Australasian
Landsat archive (1979-present) – L2 surface reflectance
 Flexible architecture - integration of new sensors Sentinel-2,3 MODIS,
MERIS … sensor blending or merging with other data sources e.g. model
outputs etc.
 Some AGDC use cases for coastal monitoring: Bathymetry and habitat
mapping e.g. sea grasses, mangroves etc., effect of land-use change on
runoff
The Australian Geoscience Data Cube (AGDC)
Collaboration between GA, CSIRO and the NCI
See also presentations by:
Tim Moltmann Wed 27th 11:30
David Griffin Wed 27th 17:55
Helen Beggs Thu 28th 15:45
http://oceancurrent.imos.org.au
Sea Surface Temperature (BoM)
AVHRR
Ocean Colour (CSIRO)
MODIS
Sea Surface Height (UTAS)
Jason-2, Cryosat-2, SARAL, HY-2A
IMOS 1 km Product NASA 4 km Product
Comparison IMOS and NASA L3 products
MODIS standard OC3 chlorophyll-a
also
http://aesop.csiro.au
https://imos.aodn.org.au/imos123/home
Ground observations
IMOS bio-optical data base
Support algorithm validation,
development and model
calibration
Provision to NASA (SeaBASS),
ESA (Mermaid)
SeaPRISM (7 wavelengths)
Water-leaving radiance
Aerosol optical thickness
Aerosol absorption
Aerosol size distribution
Refractive index
Single scattering albedo
Phasefunction
Water vapor
Spectral flux
Radiative forcing
Weather Station
Temperature
Pressure
Humidity
Dew point
Wind speed etc
Satlantic
Spectral irradiance
Webcams
Sky and Sea
(A)
(A)
(B)
(B)
(B)
(C)
(C)
(D)
(D)
Above-water measurements
WetStar fluorometer
CDOM absorption
Chlorophyll-a
Uranine
Phycoeryhrin
WQM
Temperature
Salinity
Depth
Dissolved oxygen
Turbidity
Back scattering
Chlorophyll fluorescence
ACs (80 wavelengths)
Total absorption
Total attenuation
ACs switching unit
(filtered/unfiltered)
BB9 (9 wavelengths)
Back-scattering
DAPCS
Network enabled
real-time data
logger
Automatic winch controller
keeps cage at a constant depth
In-water optical measurements
Fortnightly servicing and water sampling
Continental-scale EOS needs …
 Growing investment in national coordination, analysis and
dissemination of information from satellites
 Long-term sustained funding in in-situ observing systems (Cal/Val),
computing infra-structure (national archiving and processing) and a
network of receiving stations
 International engagement (GEO, CEOS, …) directly with space agencies
to secure ongoing access to data streams, Space Coordination Office
 Ultimately funding through the NEOS-Infrastructure Plan
 All this allows us to address some of the national challenges (e.g.
Marine Nation 2025) and support National Environmental Accounting
(State of the Environment)
Opportunities
 Provide products beyond a simple chlorophyll-a map – PFTs, primary
productivity, carbon fluxes, particle size, fronts, surrogates, pixel based
error estimates etc. – engage with user community on needs.
 New satellite sensors that provide higher spectral, spatial and temporal
resolution data (see detailed sensor list IOCCG web page)
 Polar-orbiting – scheduled:
Sentinel-3 (OLCI) ESA/EUMETSAT (Europe) 2015
GCOM-C (SGLI) JAXA (Japan) 2016
EnMAP (HSI) DLR (Germany) 2017 …
 Geo-stationary – in orbit:
Himawari-8/9 (AHI) JAXA (Japan), …
Himawari-8
See also presentation by:
Keiji Imaoka Thu 28th 14:30
 Successfully launched on 7 Oct 2014
 Geostationary orbit 140.7°E
 JMA plans formal operation mid-2015 as replacement for MTSAT-2
 Himawari-8/9 will observe the East Asia and Western Pacific regions
for period of 14 years (H8 2015-2022, H9 2022-2029)
 AHI not an Ocean Colour sensor
Courtesy: Yasushi Izumikawa
Big data
Approx. 40 GB per day light set
Approx. 188 GB per day full sethttp://www.jma-net.go.jp/mscweb/en/himawari89/index.html
Himawari-8
See also presentation by:
Keiji Imaoka Thu 28th 14:30
 Successfully launched on 7 Oct 2014
 Geostationary orbit 140.7°E
 JMA plans formal operation mid-2015 as replacement for MTSAT-2
 Himawari-8/9 will observe the East Asia and Western Pacific regions for
period of 14 years (H8 2015-2022, H9 2022-2029)
 AHI not an Ocean Colour sensor
 Proposed continental-scale non-met applications:
Turbid water mapping (flood plumes), floating algae (Trichodesmium)
linking into BGCM – improve forecasting
 Product development in collaboration with Japanese colleagues
 Data through BoM at National Computing Infra-structure (NCI)
Advantage of GEO vs LEO observations
Enhanced temporal and spatial coverage – full disk swath
(Source: IOCCG Report 12, Image ACRI-ST)
Constellation of 2 LEO sensors One GEO sensor
Example: Percentage of days in December that a pixel can be observed
15.06.2011 20.06.2011Tidal resuspension
Whitsunday Islands, GBR
MERIS
Thank you – questions?
Thomas Schroeder
CSIRO Oceans & Atmosphere Flagship
Brisbane
Australia
Thomas.Schroeder@csiro.au
Image Credit: JAXA

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  • 1. Towards continental-scale operational ocean & coastal monitoring using Earth Observation data in Australia … from a CSIRO perspective Schroeder T., King E., Steven A., Brando V. and Dekker A. 27-28 May 2015 Blue Planet Symposium, Cairns, Australia CSIRO OCEANS & ATMOSPHERE FLAGSHIP Image Credit: NASA Suomi NPP VIIRS Austral Summer 21 Dec - 20 Mar 2012
  • 2.  2009 Australian Strategic Plan for Earth Observation from Space (EOS) report  2013 Australia’s Satellite Utilisation Policy Development National EOS Infrastructure Plan (not released)  2013 Space Coordination Office  2014 National Marine Science Plan Infrastructure White Paper Policy context
  • 4. Australia’s marine jurisdiction Prepared by the Oceans Policy Science Advisory Group 2013
  • 5. Declining water quality Coastal developments Climate change Fishing Biodiversity threats Bleaching Sea Surface Temperature Cyclones Crown of Thorns Starfish
  • 6. Earth Observation (EO) has come a long way Ever increasing data volumes Image Credit: NASA Julius Neubronner German pharmacist - patent 1908 Spy pigeon
  • 8. See also presentations by Cedric Robillot Wed 27th 15:40 Emlyn Jones Thu 28th 09:30 Mark Baird Thu 28th 10:00 http://www.bom.gov.au/marinewaterquality “eReefs will provide unprecedented access to an Integrated system of data, simulation and forecasting models and visual products that can embedded in decision making and improve our understanding of Risks, pressures and responses of the whole Great Barrier Reef system.” The eReefs project
  • 9. (Courtesy: Dr Mark Baird & Team) eReefs - Modeling ocean colour (reflectance) Data assimilation Bio-geochemical model Modeled ocean colour Satellite
  • 10.  Common analytical framework for large volumes of regular gridded scientific data (PetaBytes)  Uses National Computational Infrastructure  First data set to be transformed into the AGDC is the entire Australasian Landsat archive (1979-present) – L2 surface reflectance  Flexible architecture - integration of new sensors Sentinel-2,3 MODIS, MERIS … sensor blending or merging with other data sources e.g. model outputs etc.  Some AGDC use cases for coastal monitoring: Bathymetry and habitat mapping e.g. sea grasses, mangroves etc., effect of land-use change on runoff The Australian Geoscience Data Cube (AGDC) Collaboration between GA, CSIRO and the NCI
  • 11. See also presentations by: Tim Moltmann Wed 27th 11:30 David Griffin Wed 27th 17:55 Helen Beggs Thu 28th 15:45 http://oceancurrent.imos.org.au Sea Surface Temperature (BoM) AVHRR Ocean Colour (CSIRO) MODIS Sea Surface Height (UTAS) Jason-2, Cryosat-2, SARAL, HY-2A
  • 12. IMOS 1 km Product NASA 4 km Product Comparison IMOS and NASA L3 products MODIS standard OC3 chlorophyll-a
  • 13. also http://aesop.csiro.au https://imos.aodn.org.au/imos123/home Ground observations IMOS bio-optical data base Support algorithm validation, development and model calibration Provision to NASA (SeaBASS), ESA (Mermaid)
  • 14. SeaPRISM (7 wavelengths) Water-leaving radiance Aerosol optical thickness Aerosol absorption Aerosol size distribution Refractive index Single scattering albedo Phasefunction Water vapor Spectral flux Radiative forcing Weather Station Temperature Pressure Humidity Dew point Wind speed etc Satlantic Spectral irradiance Webcams Sky and Sea (A) (A) (B) (B) (B) (C) (C) (D) (D) Above-water measurements
  • 15. WetStar fluorometer CDOM absorption Chlorophyll-a Uranine Phycoeryhrin WQM Temperature Salinity Depth Dissolved oxygen Turbidity Back scattering Chlorophyll fluorescence ACs (80 wavelengths) Total absorption Total attenuation ACs switching unit (filtered/unfiltered) BB9 (9 wavelengths) Back-scattering DAPCS Network enabled real-time data logger Automatic winch controller keeps cage at a constant depth In-water optical measurements Fortnightly servicing and water sampling
  • 16. Continental-scale EOS needs …  Growing investment in national coordination, analysis and dissemination of information from satellites  Long-term sustained funding in in-situ observing systems (Cal/Val), computing infra-structure (national archiving and processing) and a network of receiving stations  International engagement (GEO, CEOS, …) directly with space agencies to secure ongoing access to data streams, Space Coordination Office  Ultimately funding through the NEOS-Infrastructure Plan  All this allows us to address some of the national challenges (e.g. Marine Nation 2025) and support National Environmental Accounting (State of the Environment)
  • 17. Opportunities  Provide products beyond a simple chlorophyll-a map – PFTs, primary productivity, carbon fluxes, particle size, fronts, surrogates, pixel based error estimates etc. – engage with user community on needs.  New satellite sensors that provide higher spectral, spatial and temporal resolution data (see detailed sensor list IOCCG web page)  Polar-orbiting – scheduled: Sentinel-3 (OLCI) ESA/EUMETSAT (Europe) 2015 GCOM-C (SGLI) JAXA (Japan) 2016 EnMAP (HSI) DLR (Germany) 2017 …  Geo-stationary – in orbit: Himawari-8/9 (AHI) JAXA (Japan), …
  • 18. Himawari-8 See also presentation by: Keiji Imaoka Thu 28th 14:30  Successfully launched on 7 Oct 2014  Geostationary orbit 140.7°E  JMA plans formal operation mid-2015 as replacement for MTSAT-2  Himawari-8/9 will observe the East Asia and Western Pacific regions for period of 14 years (H8 2015-2022, H9 2022-2029)  AHI not an Ocean Colour sensor
  • 19. Courtesy: Yasushi Izumikawa Big data Approx. 40 GB per day light set Approx. 188 GB per day full sethttp://www.jma-net.go.jp/mscweb/en/himawari89/index.html
  • 20. Himawari-8 See also presentation by: Keiji Imaoka Thu 28th 14:30  Successfully launched on 7 Oct 2014  Geostationary orbit 140.7°E  JMA plans formal operation mid-2015 as replacement for MTSAT-2  Himawari-8/9 will observe the East Asia and Western Pacific regions for period of 14 years (H8 2015-2022, H9 2022-2029)  AHI not an Ocean Colour sensor  Proposed continental-scale non-met applications: Turbid water mapping (flood plumes), floating algae (Trichodesmium) linking into BGCM – improve forecasting  Product development in collaboration with Japanese colleagues  Data through BoM at National Computing Infra-structure (NCI)
  • 21. Advantage of GEO vs LEO observations Enhanced temporal and spatial coverage – full disk swath (Source: IOCCG Report 12, Image ACRI-ST) Constellation of 2 LEO sensors One GEO sensor Example: Percentage of days in December that a pixel can be observed
  • 23. Thank you – questions? Thomas Schroeder CSIRO Oceans & Atmosphere Flagship Brisbane Australia Thomas.Schroeder@csiro.au Image Credit: JAXA