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1 Catchment Characterisation and Modelling On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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3 Areas of Improvement (2003) 1.Enlarge Area of Interest 2.Add small streams, 3.Improve quality in the plains, 4.Finalize feature coding. “On-going development work and long-term perspectives ”

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Page 1: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Catchment Characterisation and Modelling

“On-going development work and long-term perspectives”

J. VogtE. RimaviciuteA. de JagerP. HaastrupJ. Wurtz

Page 2: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Overview

• Areas of Improvement• New datasets• Timeline• Feature identification• Final Comments

“On-going development work and long-term perspectives”

Page 3: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Areas of Improvement (2003)

1. Enlarge Area of Interest2. Add small streams, 3. Improve quality in the plains,4. Finalize feature coding.

“On-going development work and long-term perspectives ”

Page 4: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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New Datasets

• Image 2000– Automatic Lake and wide rivers detection– 25m pixels

• Shuttle Radar Topographic Mission– 0.00083333333 decimal degrees up to 60 degrees

Page 5: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Image 2000 Result

Page 6: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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SRTM

Page 7: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Enlarged Area of Interest

Page 8: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Time line•Fill voids in SRTM – December •Extract new Image2000 Surface water December 2004•Integrate new coastline and lakes January 2005•Run first tests (Po, Elbe, Oder) January •Establish new thresholds - February •Process per major Sea outlet Block – March•Generate New Database – March•Test quality – April•Generate coding – May June•New Version Summer 2005

Page 9: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Feature Identification

- Pfafstetter codingFrom the Ocean - down to the lowest level.

Page 10: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Example Elbe on German Czech Border

North Sea Pfafstetter Code = 5Elbe one of the 4 biggest seaoutlets in the North Sea

Code = {2,4,6,8} -> choose 4Final code of the segment- lowest level catchment

59275.4. 5.9.2.7

Second Large Seaoutlet on a Sea not too far from the Ocean in the longest stretch of an intermediate branch

Feature Identification

Page 11: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Elbe Border

Page 12: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Alfanumerical View

Page 13: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Final Comments

1. SRTM will be followed by 30 meter resolution models2. Image2000 Like datasets will be available for the whole planet3. Automatic water quality control methods will grow exponentially4. Weather-forecast, drought and flooding hazards applications will become an

internet commodity5. Data quality and availability is not a problem6. Processing power and storage is not a problem7. Metadata will be generated automatically8. Automatic coding is not a problem, only a choice and a decision9. We have problems in keeping up with the pace to benefit from useful

options.

Page 14: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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Swedish Lake Area

Page 15: 1 Catchment Characterisation and Modelling “ On-going development work and long-term perspectives” J. Vogt E. Rimaviciute A. de Jager P. Haastrup J. Wurtz

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wise.jrc.it/data-dist/