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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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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
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
UR EPHYSE (terrestrial ecosystems)
UMR EPOC (maritime ecosystems)
FORMOSAT2: Database KALIDEoS-Littoral / CNES
1: NEZER (forest landscape) and BILOS (fluxes meas.)
2, 3: Watersheds of Bouron, Tagon
Some INRA’s sites:
NEZER + Bilos
Storm on January 29
- after 2009?
Other landscape site?
Estimation of C and water fluxes
► 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
Methodology – overall framefrom algorithms in Orfeo Tool Box (CNES) / mean shift algorithm
Radiometric features extraction :
- Temporal change
- Vegetation indices.
before and after storm
Segmentation -> areas with same changes
automatical binary classification
Results: binary map of damages and validation