Satellite based inland and coastal water quality monitoring Heege.… · 09.01.2009 · Impact of...
Transcript of Satellite based inland and coastal water quality monitoring Heege.… · 09.01.2009 · Impact of...
© EOMAP 2013
Satellite based inland and coastal water quality monitoring
Harmonized transnational, long-term and near-real time space based solutions.
Thomas Heege CEO EOMAP Germany
Earth
Observ
atio
n &
Mappin
g
© EOMAP 2013
Applications
Oil- and gas industry
Dredging
Offshore construction impact monitoring
Water ways
Pipeline routing
Biodiversity baseline
Monitoring services
Water quality monitoring
Turbidity monitoring
Water depth mapping
Sea floor monitoring
Inland and coastal water monitoring
© EOMAP 2013
Outline
1. Use cases
2. Technology background
3. Geo-spatial infrastructure
4. Benefits
Space based monitoring of water quality and bathymetry
© EOMAP 2013
1. Introduction
Solving issues of economical and social impact
Impact of industry, agriculture, and people on water quality
Topics: Water way and offshore construction, dams,
EO tools: Environmental baseline, change and impact monitoring
Satellite based inland and coastal water quality monitoring
Relevant questions where EO solutions contribute to clients issues
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Dredge plume monitoring
e.g. for Woodside Energy, Australia: http://earth.eo.esa.int/workshops/gasoil2010/Hausknecht.pdf
www.eomap.com/OWIKI-MonitoringDredgingPlumesandWaterQuality-180811-0823-14-2.pdf
Cost savings for Woodside Energy: 1 000 000 AUD
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Example Mekong: transnational river system Requirement on harmonized long-term monitoring of
International river commissions governmental authorities, insurers
Damns: Quantification of the impact
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Example Mekong: transnational river system Requirement on harmonized long-term monitoring of
International river commissions governmental authorities, insurers
Damns: Quantification of the impact
Situation before closure
2009-January-09 Location of Xiaowan Dam
Location of Manwan Dam
Situation before closure
2009-January-09
Situation before closure
2009-Jan-09
Situation before closure
2009-Feb-10
Situation after closure
2009-Nov-11
Situation after closure
2009-Nov-25
Situation after closure
2009-Dec-27
Landsat 7 ETM+ (30m resolution)
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2009-01-09 2009-02-10 2009-11-09 2009-11-25
Xiaowan dam
Damns: Quantification of the impact
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Various user friendly formats for data visualization
River Elbe, Rapideye, 2. June 2011, 11:39 UTC
Suspended
matter
Land
Cloud
- 1
- 6
- 24
- 58
- 125
- 358
- 712
[mg/l]
River systems: water way construction River Elbe, river ems: > 100 Mio €/Y dredging costs
BAW, BFG Germany
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Suspended
matter
Land
Cloud
- 1
- 6
- 24
- 58
- 125
- 358
- 712
[mg/l]
River systems: water way construction River Elbe, river ems: > 100 Mio €/Y dredging costs
BAW, BFG Germany
River Ems, Rapideye
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European Freshwater Monitoring: GMES FRESHMON EOMAP is the leading coordinator
18.April 2011
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European Freshwater Monitoring: GMES FRESHMON
Validation Lake Constance Total Suspended matter
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European Freshwater Monitoring: GMES FRESHMON
Validation Lake Constance Total Suspended matter
© EOMAP 2013
Slide 14
Multi-sensor water quality monitoring MODIS 500 250m, Landsat, Rapideye, THEOS, ..
2007 2008 2009 2010 2011 2012
10
100
Turbidity monitoring - Can Tho
Tu
rbid
ity [
NT
U]
In-situ data (GFZ)
Satellite derived data
MODIS monthly mean
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Slide 15
Multi-sensor water quality monitoring MODIS 500 250m, Landsat, Rapideye, THEOS, ..
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Client and user comments from authorities
“Understanding the transport processes of suspended
sediments in waterways is essential to reduce river
engineering expenses such as dredging. As the federal
authority BAW is responsible for the German waterways,
…
“The EOMAP satellite turbidity products enable a
harmonized and objective measure on various
temporal and spatial scales of the federal river
system … beyond the in situ measurement systems
capabilities …
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Global and regional
land-water database
Water column
inversion coupled retrieval
Radiative transfer
database
water constituents:
Suspended matter S
Phytoplankton (CHL-a) P
Yellow Substances Y
Atmosphere vertical profiles of
optical properties Sunglitter
correction
Optical models specific opt. properties
of water, sea floor, land
Sensor sensor parameters
Atmospheric
correction coupled with retrieval of
water constituents
Adjacency
correction
subsurface
reflectance
R
satellite
radiance image
L
Water depth z
Sea floor albedo
Land-water-cloud
detection
Core Technology: EOMAP MIP System
Input
Pro
cessin
g
Output
Water Quality and Water Depth Product generation workflow
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EOMAP Processing System EWS EOMAP Workflow System EWS
Orchestration of fully operational processing chains
on top of ground segments
Off-the-shell production
Near-real-time production
Solutions to orchestrate national / trans-national monitoring solutions
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Low resolution 0,25 – 1 km
MERIS, MODIS, Sentinel 3, … … up to 3 times daily
Medium resolution 15 – 30m
Landsat 7/8, Sentinel 2, THEOS, … … 2-4 / month
High resolution 2 – 5m
WorldView-2 , Rapideye, … … Tasking & Archive
Applicable sensors and resolutions Sensors applicable for EOMAP Bathymetry and EOMAP Water Quality
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PRODUCTS:
Turbidity [NTU] or [FTU]
Total Suspended Matter [mg/l]
Total Organic Absorption [1/m]
Chlorophyll [µg/l]
Dissolved organic components absorption [1/m]
QUALITY CONTROL:
Pixel wise quality indicators
Quality summary in meta data
DELIVERY FORMAT:
GeoTIFF 32/8, ASCII, NETDCF…
Cartography, optional .kmz (Google), .shp (GIS)
INSPIRE / OGC conform meta data
Charateristics of water quality products
EOMAP Water Quality products
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EOMAP service infrastructure
Satellite sensors
Ground stations
EOMAP VA processors
EOMAP Web Shop
EOMAP Marketing Partner and Client Groups Asia Pacific
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EOMAP Bathymetry Products and Services
© EOMAP 2013 Qatar, World-View 2
EOMAP Seabed Classification
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APPS4GMES: Access via mobile applications
Solutions for many end users:
Tourists, divers, aqua culture farmers, fishery, coast guard, offshore companies, ..
Standard app’s with cost effective adaptation to serve many user groups
Near real time water quality services on mobile phones
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Benefits Space based monitoring of water quality and bathymetry
Near real time, long-term for decades back
Multi-scale and area wide: transnational, intercontinental
Harmonized, transferable, comparable and valid measure
Independent and objective, repeatable measure
Long-term reliability: Independent on single sensor systems
Cost-effective
Safety, accessibility, no risks at data take
Integratable with in situ data and models to enable 4d-monitoring
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Outlook Space based monitoring of water quality and bathymetry
• High resolution and multi-temporal water quality - worldwide
• Multi-temporal bathymetry – worldwide
© EOMAP 2013
Outlook: Product aggregation Space based monitoring of water quality and bathymetry
• High resolution and multi-temporal water quality - worldwide
• Multi-temporal bathymetry – worldwide
© EOMAP 2013
THANK YOU
© EOMAP
© EOMAP 2013
Product examples 05 October 2010, MODIS Aqua 500m, West Australia
© EOMAP 2013
Phytoplankton and Chlorophyll a 05 October 2010, MODIS Aqua 500m, West Australia
Land
Cloud
Chlorophyll
[µg/l]
- 0.1
- 1
- 10
- 100
- 103
- 104
© EOMAP 2013
Turbidity and Suspended Matter 05 October 2010, MODIS Aqua 500m, West Australia
Land
Cloud
- 0.1
- 0.3
- 1.
- 3.
- 10.
- 30.
- 100.
Turbidity
[NTU]
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Aerosol optical depth 05 October 2010, MODIS Aqua 500m, West Australia
Land
Cloud
Aerosol
AOD 440nm - 0.01
- 0.1
- 0.2
- 0.3
- 0.4
- 0.5
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Requirements
Atmospheric conditions
WV-2 Rottnest Island, Australia
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Requirements
Atmospheric conditions
WV-2 Rottnest Island, Australia
> Subsurface reflectance RGB, channel 4,3,2
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Requirements
Atmospheric conditions
WV-2 Rottnest Island, Australia
© EOMAP 2013
Turbidity Monitoring
Long-Term change in the Mekong Delta
Current situation
2013-Jan-20
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Multi-sensor water quality monitoring MODIS 500 250m, Landsat, Rapideye, THEOS, ..
© EOMAP 2013
Comparison to NASA processor - PHY
Land
Cloud
- 0.1
- 0.3
- 1.
- 3.
- 10.
- 30.
- 100.
Chlorophyll
[µg/l]
NASA MIP
2011/08/19
NASA concentrations are higher in shallow waters but lower in deep
waters compared to MIP
MIPs filter algorithms seem more flexible to MODIS sensor failures
Near-coastal areas are sometimes processed by MIP but not by NASA
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Spatial and temporal analysis - FLH
2011/07/11 2011/08/12
FLH seems suitable to indicate HAB occurrence.
Limiting factors of this method:
Weak spectral signal at the required MODIS wavelength
Other environmental signals influence FLH increases
Max. spatial resolution of 1000 m
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Jan Feb Mrz Apr Mai Jun Jul Aug Sep Okt Nov Dez0,0
0,5
1,0
1,5
2,0
2,5
3,0
3,5
2011 Lake Constance
Central station FU
MERIS satellite
MODIS Terra and Aqua satellite
TS
M [m
g/l]
Month
Temporal resolution of multiple satellite sensors MODIS Aqua, Terra, MERIS
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Validation Lake Walchensee Bavaria
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European Freshwater Monitoring: GMES FRESHMON Validation Lake Zurich Chlorophyll-a
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09:55 UTC 11:30 UTC 11:40 UTC 13:20 UTC
River Elbe / Germany
Suspended matter monitoring
Satellite sensors:
MODIS Terra, Aqua
MERIS, RapidEye
Suspended
matter
Land
Cloud
- 1
- 6
- 24
- 58
- 125
- 358
- 712
[mg/l]
09:55 UTC 11:30 UTC 11:40 UTC 13:20 UTC
27. Juni 2010
RapidEye 5m Reference coordinate system:
Projection: UTM Zone 32 N
Multi-sensor water quality monitoring Contracts by water authorities Germany
© EOMAP 2013
Satellite based inland and coastal water quality monitoring Harmonized transnational, long-term and near-real time space based solutions. Thomas Heege EOMAP / Germany
Earth
Observ
atio
n &
Mappin
g