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Examples of Formosat-2 data use: Nezer-Arcachon datasets Framework:

Examples of Formosat-2 data use: Nezer-Arcachon datasets Framework: Vegetation and environnement monitoring of agriculture and forest landscapes in Aquitaine under global change (climate, anthropogenic activities) Dominique Guyon, INRA Bordeaux, Unité EPHYSE. Formosat2/VENµS Users meeting

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Examples of Formosat-2 data use: Nezer-Arcachon datasets Framework:

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  1. Examples of Formosat-2 data use: Nezer-Arcachon datasets Framework: Vegetation and environnement monitoring of agriculture and forest landscapes in Aquitaine under global change (climate, anthropogenic activities) Dominique Guyon, INRA Bordeaux, Unité EPHYSE Formosat2/VENµS Users meeting CESBIO, Toulouse, January 12th 2010

  2. Venµs, Formosat-2 : high spatial resolution + high repetitivity -> separate immediate changes due to agricultural practices operating at field level from those due to natural environment (soil, climate). -> complementary approaches: - monitoring the seasonal/interannual changes of the remote sensing signal (e.g. NDVI, red-edge bands reflectance): dating phenological stages, dating and detecting agricultural activities (sowing, thinning out of leaves, harvest, felling…), detecting events of climate accidents (storm), stress or early senescence - mapping of vegetation based on seasonal changes during the whole year - retrieval of the annual course of biophysical variables at plot scale : LAI, Fcover, faPAR - assessing the information loss due to a scaling from local measurements to low resolution remote sensing time-series (e.g. VEGETATION or MODIS). - coupling to process-based models: biomass production, crop yield, productivity, C and water fluxes

  3. VENµS: Propositions de sites UR EPHYSE (terrestrial ecosystems) UMR EPOC (maritime ecosystems) FORMOSAT2: Database KALIDEoS-Littoral / CNES KALIDEOS-Littoral 3 1 2 1: NEZER (forest landscape) and BILOS (fluxes meas.) 2, 3: Watersheds of Bouron, Tagon Some INRA’s sites:

  4. FORMOSAT2: - time-series 2008-2009 NEZER + Bilos 14/03/2008 21/08/2008 22/12/2008  Storm on January 29 04/02/2009 29/05/2009 24/06/2009 16/06/2009 13/08/2009 07/09/2009 - after 2009? Other landscape site? Estimation of C and water fluxes • ►forest structure changes monitoring with VHR imagery • Programm ORFEO/Cnes, PhD 2010-2013? • Collaboration EGID-Univ. Bordeaux3 • Nezer • Climate events and sylvicultural changes (thinning, felling) • application to map the 24th January 2009 windfall damages • ►Phenology monitoring • tree layer and understory vegetation • Bilos ; 2008-2009 • Ground-based measurements of LAI and fAPAR, • Seasonal change of vegetation indices from Spot/VEGETATION • Formosat/VEGETATION: to be done

  5. Forest structure changes monitoring with VHR imagery Programm ORFEO/CNES ► mapping the 24th January 2009 windfall damages: First results C.ORNY12, N.CHEHATA1, S.BOUKIR2, D.GUYON1, 2009 1 EGID-Université Bordeaux3, 2 INRA Before the storm: 22/12/2008 After the storm: 04/02/2009 0

  6. Methodology – overall framefrom algorithms in Orfeo Tool Box (CNES) / mean shift algorithm Radiometric features extraction : - Textural - Temporal change - Vegetation indices. before and after storm Segmentation -> areas with same changes automatical binary classification unsupervised classification

  7. intact damaged 1 km Results: binary map of damages and validation • Confusion matrix : Ground level • Satisfactory results: • Unsupervised classification • concentrated damages (MMU) • Errors : • No detection of damages in young stands • Difficult for plot edge (shadows and class limits) • false détection due to shadows moving • To be estimated for diffuse damages satellite level • MMU = 5 pixels = 300m² • ->5 to 45 trees according to density

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