INFORM project overview

User Uptake Workshop

16-17 November 2017

European Environment Agency, Copenhagen, Denmark

Ils Reusen – VITO and all INFORM partners

INFORM project overview


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Improved monitoring and forecasting of ecological status of

European INland waters by combining Future earth

ObseRvation data and Models


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• To develop and demonstrate new and improved user-driven products for inland water quality monitoring and forecasting by combining water quality models and EO data which fully exploits the improved spectral, spatial and temporal capabilities of new and upcoming EO missions like Sentinel-2, Sentinel-3 and hyperspectral EO missions like EnMAP and PRISMA.

• To provide recommendations for future EO missions taking into account requirements for inland water quality monitoring.

Main objectives


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Satellite missions • Sentinel-2A (launched 23 June

2015, images available) • Sentinel-2B (launched 7 March

2017)

• Sentinel-3 (launched 16 February 2016, images available)

• EnMAP (2017-2018?) • PRISMA (2017-2018?)

© ESA P. Carrill

© ESA PJ. Huart

© EnMAP

© ASI


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Sentinel-2

• Sentinel-2A & B launched: June 2015 and March 2017

• Global revisit time: 5 days with 2 satellites • MSI (Multi Spectral Instrument)

• 13 spectral bands: 443 nm – 2190 nm (including 3 bands for atmospheric corrections)

• Spectral resolution: 15 nm – 180 nm • Spatial resolution: 10 m, 20 m and 60 m • Swath: 290 km

© ESA P. Carrill


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Sentinel-3

• Sentinel-3A launched Feb 2016 • 2 day global coverage • OLCI (Ocean and Land Colour Instrument)

• Swath width: 1270 km, with 5 tilted cameras • Spatial sampling: 300 m (full resolution mode) • Spectral range: 21 bands [0.4-1.02] μm

© ESA PJ. Huart


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Normalized OLCI SRFs, bands 1 to 21, plotted versus wavelength [nm] from C. Pelloquin, J. Nieke, SENTINEL-3 OLCI

AND SLSTR SIMULATED SPECTRAL RESPONSE FUNCTIONS (S3-TN-ESA-PL-316) OLCI spectral bands = MERIS heritage+additional bands: Oa1 (400 nm): aerosol correction, improved water constituents retrieval Oa9 (673,75 nm): improved fluorescence retrieval and smile correction Oa14 (764,375 nm): atmospheric correction Oa15 (767,5 nm): cloud top pressure, fluorescence over land Oa20 (940 nm): water vapour absorption, atmospheric/aerosol correction Oa21 (1020 nm): atmospheric/aerosol correction


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Landsat-8 • Landsat 8 launched on 11 February 2013 • Operational Land Imager (OLI) and the Thermal

Infrared Sensor (TIRS) • Spatial resolution of 30 meters (visible, NIR, SWIR);

100 meters (thermal); and 15 meters (panchromatic) • 16 days revisit time

Courtesy of NASA


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MERIS • MERIS: not operational; predecessor of Sentinel-3 • Spatial Resolution:

– Ocean: 1040m x 1200 m – Land & coast: 260m x 300m

• Swath Width:1150 km, global coverage every 3 days • Waveband: VIS-NIR: 15 bands selectable across

range: 390 nm to 1040 nm (bandwidth programmable between 2.5 and 30 nm)


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http://www.apex-esa.org

APEX airborne hyperspectral imaging sensor for Simulation Calibration Validation of satellite sensors/products


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S2, S3, EnMAP, PRISMA with improved

spectral, spatial and temporal capabilities

End-user needs (WFD, Dredging industry)

Recommendations for future EO missions

for Inland Water Quality monitoring

OUTLOOK: Inland Water Quality

services


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INFORM consortium

Participant organisation name

Participant short name

Country

VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V.

VITO - Coordinator BELGIUM

CONSIGLIO NAZIONALE DELLE RICERCHE

CNR ITALY

EOMAP GmbH & Co.KG

EOMAP GERMANY

THE UNIVERSITY OF STIRLING

U STIRLING UK

INSTITUT ROYAL DES SCIENCES NATURELLES DE BELGIQUE

RBINS BELGIUM

STICHTING DELTARES

Deltares THE NETHERLANDS

PLYMOUTH MARINE LABORATORY

PML UK

MAGYAR TUDOMANYOS AKADEMIA OKOLOGIAI KUTATOKOZPONT

MTA OK HUNGARY

KLAIPEDOS UNIVERSITETAS

KLAIPEDOS UNIVERSITETAS

LITHUANIA


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INFORM + sites

Kis-B

Curo lagoo

Mant

Lago Venic

Lake Cons

Lake (Lac

Giron

Sche

Esthw Wate

Loch

Loch

IJsse

+ Lak Black


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WPs


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• Explore end-user requirements in terms of

water quality products • Stimulate project results uptake by end-

users and industry

End-user interaction


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• Inventory existing data, identify gaps and acquire new data for development and validation

Data gathering


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• Implementation – Development campaigns (in situ, spaceborne)

≫Lake Balaton (+ airborne), Kis Balaton (+ airborne), Mantua lakes (+ airborne HYPPOS funded by EUFAR), UK lakes (+ airborne funded by NERC), Lake Geneva+Lake Biel (+ airborne HILBILLY funded by EUFAR)

Data gathering


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– Testing campaings (in situ and spaceborne) ≫Curonian Lagoon (+ airborne COOLAPEX partly

funded by EUFAR), Lake Balaton, Kis Balaton, Lake Marken, Venice Lagoon, Lake Garda, Po river, Loch Leven, Loch Lomond, Danube Delta & Back Sea

Data gathering


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• Development campaign report • Testing campaign report

Reports at website


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Algorithm development and validation


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• iCOR in SNAP

https://blog.vito.be/remotesensing/icor_available (training session tomorrow)

• ACOLITE https://odnature.naturalsciences.be/remsem/software-and-data/acolite (training session tomorrow)

Atmospheric correction

https://blog.vito.be/remotesensing/icor_available

https://odnature.naturalsciences.be/remsem/software-and-data/acolite

https://odnature.naturalsciences.be/remsem/software-and-data/acolite


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Product flyers at http://www.copernicus-inform.eu/content/downloads

http://www.copernicus-inform.eu/content/downloads


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• Algorithm Theoretical Basis Document (ATBD) • Algorithm Validation report

Reports at website


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Develop & test methodology to integrate EO (& IS) data with water quality modelling.

6.1 Setup model to study interactions between hydrodynamics, optics and biology • 1DV model of light attenuation (Kd) for harmonization of complex models and EO • ‘Box’ Model of Lake Balaton: Kd and biogeochemistry • Full 3D hydrodynamic & biogeochemistry model Lake Marken

6.2 EO as WQ model input • Develop methodology to quantify (mis)fit EO & model results 6.3 Integration EO and IS and WQ modelling • Lake Balaton & Lake Marken: apply EO based methodology for model recalibration

EO-model integration


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• Dynamic BGC model (Delft3D)

• Combines SPM and phytoplankton

• Waves drive resuspension and settling of algae and TSM

• Biotic-abiotic Interaction via turbidity

Lake Marken


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• 4 basins approach – Diagnostic Kd model:

Evaluate variants – Dynamic BGC

Lake Balaton

Keszthely Szigliget

Szemes Siófok


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EO-model comparison


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Demonstration • Apply algorithms to new sensors,

demonstrate to end-users, collect user feedback


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• Details in product presentations and interactive session


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http://informportal.vgt.vito.be/geonetwork

INFORM Geoportal

http://informportal.vgt.vito.be/geonetwork


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INFORM Geoportal-Catalogue Search by bounding box, facetted

search (keyword)


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INFORM Geoportal-Viewer


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INFORM Geoportal-Time Animation


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INFORM Geoportal-Time Series Viewer


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INFORM Geoportal-Download


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Dissemination


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INFORM website http://www.copernicus-inform.eu Download flyers, newsletters, public deliverables


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• Contribution to ... publication ‘Earth Observations in support of the 2030 agenda for Sustainable Development’


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– Complete list available at INFORM website ≫ Groetsch P.M.M, Gege P., Simis S.G.H, Eleveld M.A., Peters S.W.M. (2017) Validation

of a spectral correction procedure for sun and sky reflections in above-water reflectance measurements. Optics Express 25(16):A742-A61. doi: 10.1364/oe.25.00a742.

≫ Moses W., Montes M., Sterckx S., De Keukelaere L., Knaeps E. (2017). Book Chapter 3: Atmospheric Correction for Inland waters. In: Bio-optical Modelling and Remote Sensing of Inland Waters (Editors: Ogashawara, I. , Mishra, D.R. and Gitelson A.).

≫ Giardino C., Bresciani M., Brando V., Braga F., Cazzaniga I., De Keukelaere L., Knaeps E. (2017). Book Chapter 5: Bio-Optical Modeling of Total Suspended Solids. In: Bio-Optical Modeling and Remote Sensing of Inland Waters (Editors: Ogashawara, I. , Mishra, D.R. and Gitelson A.).

≫ Villa P., Pinardi M., Tóth V.R., Hunter P.D., Bolpagni R., Bresciani M. (2016). Remote sensing of macrophyte morphological traits: implications for the management of shallow lakes. Journal of Limnology (Special Issue Biomonitoring).

≫ Bresciani M., Giardino C., Lauceri R., Mata E., Cazzaniga I., Pinardi M., Lami A., Austoni M., Viaggiu E., Congestri R., Morabito G. (2016). Earth observation for monitoring and mapping of cyanobacteria blooms. Case studies on five Italian lakes. Journal of Limnology (Special Issue Bio-monitoring: Lessons from the past, challenges for the future). http://dx.doi.org/10.4081/jlimnol.2016.1565

≫

14 INFORM related papers

http://dx.doi.org/10.4081/jlimnol.2016.1565

http://dx.doi.org/10.1016/j.rse.2015.05.023



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≫ Hestir E. L., Brando V. E., Bresciani M., Giardino C., Matta E., Villa P., Dekker A. G. (2015). Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission. Remote Sensing of Environment, 71: 218–233. doi.org/10.1016/j.rse.2015.05.023

≫ Knaeps E,, Ruddick K.G., Doxaran D., Dogliotti A.I., Nechad B., Raymaekers D. , Sterckx S. (2015). A SWIR based algorithm to retrieve total suspended matter in extremely turbid waters. Remote Sensing of Environment, 168: 66–79. doi:10.1016/j.rse.2015.06.022

≫ Manzo C., Bresciani M., Giardino C., Braga F., Bassani C., (2015). Sensitivity analysis of a bio-optical model for Italian lakes focused on Landsat-8, Sentinel-2 and Sentinel-3. European Journal of Remote Sensing, 48: 17-32. doi:10.5721/EuJRS20154802

≫ Palmer S.C.J., Kutser T. and Hunter P.D. (2015). Remote sensing of inland waters: challenges, progress and future directions. Remote Sensing of Environment, Special Issue: Remote Sensing of Inland Waters, 157: 1–8. doi:10.1016/j.rse.2014.09.021

≫ Pinardi M., Fenocchi A., Giardino C., Sibilla S., Bartoli M., Bresciani M. (2015). Assessing Potential Algal Blooms in a Shallow Fluvial Lake by Combining Hydrodynamic Modelling and Remote-Sensed Images. Water, 7 (5): 1921-1942. doi:10.3390/w7051921



http://dx.doi.org/10.5721/EuJRS20154802

http://www.mdpi.com/2073-4441/7/5/1921


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≫ Sterckx S., Knaeps E., Adriaensen S., Reusen I., De Keukelaere L., Hunter P., Giardino C., & Odermatt D. (2015). Opera: An atmospheric correction for land and water. Published in the proceedings of the Sentinel-3 for Science Workshop held in Venice-Lido, Italy, 2-5 June 2015, ESA Special Publication SP-734.

≫ Vaičiūtė D., Bresciani M., Bartoli M., Giardino C., Bučas M. (2015). Spatial and temporal distribution of coloured dissolved organic matter in a hypertrophic freshwater lagoon. Journal of Limnology, 74(3): 572-583. doi:10.4081/jlimnol.2015.1176

≫ Van der Zande D. & Blaas M. & Nechad B. (2015). Sensitivity Analysis of Semi-Analytical Models of Diffuse Attenuation of Downwelling Irradiance in Lake Balaton. Published in the proceedings of the Sentinel-3 for Science Workshop held in Venice-Lido, Italy, 2-5 June 2015, ESA Special Publication SP-734

≫ Villa P., Bresciani M., Bolpagni R., Pinardi M., Giardino C. (2015). A rule-based approach for mapping macrophyte communities using multi-temporal aquatic vegetation indices. Remote sensing of environment, 171: 218–233. doi:10.1016/j.rse.2015.10.020


http://www.jlimnol.it/index.php/jlimnol/article/view/jlimnol.2015.1176



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≫ ZENODO repository: https://zenodo.org/collection/user-fp7inform

ZENODO – INFORM community


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• Presentation tomorrow

Contribution to User Requirements for Next Generation Copernicus Satellites

INFORM project overview

Documents

Transcript of INFORM project overview