Mapping estuarine turbidity using high and medium resolution time series imagery
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1 Mapping estuarine turbidity using high and medium resolution time series imagery Virginie Lafon Arthur Robinet Tatiana Donnay David Doxaran Bertrand Lubac Eric Maneux Aldo Sottolichio Olivier Hagolle Alexandra Coynel 5/22/2014 SENTINEL-2 for Science Workshop 1
2 GEO-Transfert Mission: to ensure that scientific and technological developments will be further developed and exploited into new products, processes, applications, materials or services Remote sensing applications for decision making - new developments towards operational products Introduction of satellite data in coastal surveillance services Lay estuary and l Aiguillon Bay: Site caracterisation and management mode definition Strong winds 58% 6% High river discharge 8% 190 MODIS views 14% % Low energy forcing 5/22/2014 SENTINEL-2 for Science Workshop 2
3 Main issues in very turbid estuarine environments Scientific issues Understanding MTZ dynamics (2D / 3D): high SPMs, low O2. Hydro-sedimentary processes understanding and modeling Conservation issues Natural heritage protection Water quality (WFD) Industrial and socio-economic issues Fisheries & aquaculture Navigation & harbour activity Management issues Waste water discharge Nuclear power station cooling 5/22/2014 SENTINEL-2 for Science Workshop 3
4 MTZ monitoring User needs Qualitative information (turbidity gradients) Quantitative measurement (SPM concentration, particle size determination) Operational measurement implementation High frequency Spatial coverage at the scale of the watershed Forecasting tools Scientific questions Which sensor & which product to derive SPM? Product combination / fusion? Retrieval accuracy? FOCUS : Gironde estuary, Garonne and Dordogne watersheds Operational processing 5/22/2014 SENTINEL-2 for Science Workshop 4
5 Existing image products Gironde: the widest estuary in western Europe MTZ caracteristics in the Gironde: several tens of km long; magnitude of mouvement: about 100 km 160 km 120 km Downstream section (2 to 12 km width): medium resolution imagery, MODIS HR wavebands Level 1A Level 2 SR (surface reflectance) - Sentinel 3 Upstream section (<100 m to 2 km): high resolution imagery Landsat imagery SPOT4 (Take5 experiment) Rrs Products (TOSCA Landsat, Theia Pole - Sentinel 2 5/22/2014 SENTINEL-2 for Science Workshop 5
6 RS product choice - Method Space data sensitive to turbidity variability Data download (MODIS, SP, LANDSAT, Marel records) Image data processing Level 1A Rrs (Wang et al., 2009) Reflectance to MES MODIS: SPM=12,996*exp((Rrs_859 ou SR_859/Rrs_645 ou SR_645)/0,189) (Doxaran et al., 2009 ) Pauillac Bordeaux Libourne Portets HR: New algorithms R rs = (L w -ρ*l sky )/E d MES=f(G; R; NIR/G; NIR/R) Field data processing NTU to MES SPM (mg/l) SPM (mg/l) Matchup constitutions and data comparison 5/22/2014 SENTINEL-2 for Science Workshop 6 6
7 MR product choice: L1A vs L2 L1A - Rrs Red SPM maps NIR Reflectance sensitivity to turbidity changes Marel : measurements averaged over images over 1 year - 9 pixels in a box L1A Rrs L2 - SR Red NIR L2 - SR 5/22/2014 SENTINEL-2 for Science Workshop
8 HR product available L4, 5, 7 & SPOT4 : a total of 12 matchup with the Marel station of Bordeaux Pauillac Libourne Bordeaux Portets 5/22/2014 SENTINEL-2 for Science Workshop 8
9 HR product choice Waveband sensisitivity to turbidity range SPM (mg/l) SPM (mg/l) Algorithms inversion for SPM assessment in Bordeaux SPM (mg/l) Field sensor saturation 5/22/2014 SENTINEL-2 for Science Workshop 9
10 Space SPM accuracy MR HR High resolution gives better estimates Adequate atmospheric corrections Validation method approach robustness? Increase matchups nb Landsat 8 S2 5/22/2014 SENTINEL-2 for Science Workshop
11 Sentinel-2 simulation 5/22/2014 SENTINEL-2 for Science Workshop 11
12 Processing chain & available data for MTZ monitoring RIVERCOLOR Download MODIS images for the specified MODIS tile Apply the preliminary created land mask Cloud and shadow detection and masking NIR and red reflectance ratio inversion into SPM At minimum: monthly HR imagery Daily MODIS : 33% exploitable images 40% of exploitable images in summertime vs 27% in winter 5/22/2014 SENTINEL-2 for Science Workshop 12
13 SPM time series production Flood Low water SPM SPM 5/22/2014 SENTINEL-2 for Science Workshop
14 Ongoing actions Field campaigns (AOPs, IOPs vs SPM, POC, chlorophyll, particle size) New OC products S2 SPM algorithm definition MAGEST station representativity MODIS / S3 validation MODIS SPM map analysis Statistics SiAM validation Model / space data complementarity analysis 5/22/2014 SENTINEL-2 for Science Workshop 14
15 Perspectives Particle size determination from space OC products in the estuarine plume Assimilation SWOT Fine clouds / shadow detection improvement over water surfaces (ex. morphology treatment) S2 algo validation S2 / S3 data fusion: operational SPM quantification from rivers to plumes Watershed scale HIGHROC (K. Ruddick) High frequency SPM quantification HYMOSED: application of RIVERCOLOR Seine estuary 5/22/2014 SENTINEL-2 for Science Workshop 15
16 Thank you for your attention Virginie Lafon Arthur Robinet Tatiana Donnay David Doxaran Bertrand Lubac Eric Maneux Aldo Sottolichio Olivier Hagolle Alexandra Coynel 5/22/2014 SENTINEL-2 for Science Workshop
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