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 1 2 3 Some INRA’s sites: 1: NEZER (forest landscape) and BILOS (fluxes meas.) 2, 3: Watersheds of Bouron, Tagon

4. ► 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 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

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

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

7. 7 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 intact damaged 1 km Confusion matrix : Results: binary map of damages and validation Ground level satellite level MMU = 5 pixels = 300m² ->5 to 45 trees according to density