Coastline monitoring. Virginie Lafon Cyril Mallet. S. Capo, A. Dehouck, E. Maneux, A. Michot, C. Proisy, R. Walker
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1 Coastline monitoring Virginie Lafon Cyril Mallet Doris_Net May 29, 2012 Pessac, France S. Capo, A. Dehouck, E. Maneux, A. Michot, C. Proisy, R. Walker 29/05/2012
2 Spatial applications for coastal services Coastline cartography End-user: Aquitaine Coast Observatory What is the Aquitaine Coast Observatory? Since 1996: public, scientific and operational organisation for ICZM along the Aquitaine coast Mainly concerned by coastal hazards (erosion, marine submersion, landfall, ) and biodiversity Needs for: Expertises and technical services concerning coastline mobility Informations validated and normed to follow-up coastal indicators Disseminate and communicate data, informations and news : 29/05/2012 Doris_Net 2
3 An exemplary partnership Sponsors Scientific and technical partners GHYMAC Data productors Stackeholders Kosta Garbia CBSA, 29/05/2012 PRIEBA, Stè Linnéenne de Bx Doris_Net 3
4 Needs for spatial application Exemple of coastline evolution Simultaneous information along the 270km of coastline Various coastal morphologies (sand, dune, cliff, salt-marshes ) High resolution images (main coastline erosion rate +/-1 to 3 m/year, reaching >10m/year) Main difficulties Resolution (pixels / evolution) Georeferencing Geomorphological facies cartography (sand, mud, vegetation) Organisation Various complementary data collect: field (GPS, snapshots, etc.), spatial images (SPOT5, Formosat2, Woldview ), aerial images (plan or not), LiDAR Scientific partnership and development studies with Geotransfert (Bordeaux 1 University) Permanent question: adapt data collection and analysis to the needs (cost, final application, ) 29/05/2012 Doris_Net 4
5 Exemples of data analysis Field measures GIS: coastlines (from satellites, aerial, GPS), Coastal structures (groins, sewall, dikes ) + Expertises! 29/05/2012 Doris_Net 5
6 Application, example of coastline evolution (Gironde) > Coastal erosion study for the «Regional Strategic Plan of the Aquitain Coast» piloted by the GIP Littoral Aquitain «Coastlines 2020 and 2040» 29/05/2012 Doris_Net 6
7 About the coastlines Forcing Geomorphology Substrate type Bedrock, sand beach, tidal flats, salt marsh and mangrove Evolution Population Forecast Management strategy 29/05/2012 Doris_Net 7
8 About the monitoring From the : Survey indicators Sandy beaches and dunes Shallow water sandbank Dune foot Rocky coasts Cliff foot Maritime wetlands Salt marsh contour Mangrove wetlands Articificial coasts Dykes, seawalls Waterline (lakes, internal seas) Monitoring approaches Terrestrial acquisition DGPS Theodolithe Scanner 3D Photo / video surveys Aiborne RS Pictures (RGB + NIR) Hyperspectral imagery Lidar Satellite RS MS / Hyperspec Imagery SAR Imagery 29/05/2012
9 Dune foot monitoring Radiometric calibration / Image mosaic Unsupervised /Supervised classification Sobel filtering Raster facies / polylines Validation (DGPS) Mean coastline positionning error : 10 m (2 m resolution space image) X JNGCGC, NEREUS publication, /05/2012 Doris_Net 9
10 Dune foot forecast and management strategy Hazard mapping - Weak - Medium - Strong NEREUS publication, /05/2012 Doris_Net 10
11 Demonstrators of operational services Window on GMES publication Automatic detection Change detection anlysis Conservation status analysis Dune erosion / restoration 29/05/2012 Doris_Net 11
12 Shallow water bathymetry Empirical calibration Sentinel-2 meeting SP - 16/04/2010 Semi analytical model Réflectance image (r XS1 ) depth (z) in 3 steps 29/05/2012 Doris_Net 12
13 Sandbank monitoring Breaching 29/05/2012 Doris_Net 13
14 Integrated analysis m 14 m - 04/ / / m 29/05/2012 Doris_Net 14
15 Oyster farming / oyster banks THR Satellite data Texture analysis + Segmentation 29/05/2012 Doris_Net 15
16 Polder monitoring High resolution satellite imagery K2 18/03/2009 K2 05/03/2010 K2 15/03/2010 Island breaching monitoring Polder evolution survey and evolution scenarii SP5 18/07/2010 SP5 10/02/2011 SP5 23/09/ /05/2012 Doris_Net 16
17 Polder flooding forecast Polder evolution survey Island breaching and flooding monitoring Mecanism study Evolution scenarii proposition 3-year project (2012 -> 2015) 29/05/2012 Doris_Net 17
18 Mangrove monitoring SAVI-based automatic detection 29/05/2012 Doris_Net 18
19 Conclusions Satellite imagery allows locating the coastline over large muddy sandy, rocky littoral (with / without vegetation cover) Satellite imagery allows describing time / space evolution of the coastline Satellite observation constitute a powerful and low cost solution for coastline surveying at a national scale Also, medium- to long-term satellite-based observations participate to evolution processes analysis and they provide numerical simulation validation cases Automatic operational services are being demonstrated e.g. in Aquitaine 29/05/2012 Doris_Net 19
20 Scale +1 m 0 hydro - 1 m - 2 m - 3 m Thank you for your attention 29/05/2012
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