Demandez le programme des journées SPOT4 (Take5) au CNES

Voici le programme des journées SPOT4 (Take5) des 18 et 19 novembreembre.Nous acceptons encore des inscriptions, mais ne tardez pas trop à écrire à sylvia.sylvander@cnes.fr ou danielle.barrere@cnes.fr Here is the agenda for the SPOT4 (Take5) days of November the 18th and 19th. We still accept new inscriptions, but do it quickly by sending an email to sylvia.sylvander@cnes.fr or danielle.barrere@cnes.fr. Alll the slides will be in English, but some talks will probably be in French.

Tuesday 18th November
TimeDurationNameOrganismTitle
8h45Welcome
9h3010′CNESIntroduction
9h4020′S. SylvanderCNESPreparation and progress of Take 5 experiment
10h0025’+5′O. HagolleCNES/CESBIOLevel 2A Validation and user feedback
10h3020′ + 5′M. KadiriCESBIODefinition, test and evaluation of a monthly composite product for Sentinel-2, based on SPOT4 (Take5)
10h5530′Coffee break
11h2520′ + 5′M. ClaverieNASA GSFCAn update on the Landsat / Sentinel-2 merged Surface Reflectance product project
11h5020′ + 5′M. Le PageCESBIOSAT-IRR, a web service to help with irrigation decision based on time series of satellite images of high spatial and temporal resolution
12h1520′ + 5′V. SimonneauxCESBIO/IRDWater budget monitoring of irrigated perimeters in semi-arid areas using high resolution NDVI image time series. Application for the assessment of groundwater extraction.
12h40Lunch break
14h0025’+5′O. ArinoESARésultats des études ESA
14h3020′ + 5′N. BaghdadiMaison TélédétectionTBD
14h5520′ + 5′J. IngladaCNES/CESBIOAutomatic land-cover map pr
oduction of agricultural areas using supervised classification of SPOT4(Take5) and Landsat8 image time series. Algorithm comparison over 12 sites for Sentinel-2 Agriculture Project.
15h2020′ + 5′S. ValeroCESBIOReal time production of a crop mask using high spatial and temporal resolution time series.
15h4520′ + 5′D. MorinCESBIOCartography of irrigated crops and estimation of biophysical variables with high temporal and spatial resolution images
16h1030′Coffee Break
16h4020′ + 5′W. LiINRA PACADeriving ECVs LAI and FAPAR from SPOT and LANDSAT sensors:Evaludation of the consistency and comparison with ground measurements
17h0520′ + 5′A. RoumiguiéEcole d’ingénieurs de PurpanValidation of a Forage Production Index derived from MODIS fCover time series – Methodology and main results
17h3020′ + 5′C. JacqueminetUniv. St EtienneDiscrimination of herbaceous habitats using multi-temporal Spot and Landsat images (Massif central (France))
Wednesday 19th November
TimeDurationNameOrganismTitle
8h30Welcome
9h0020′ + 5′JF. BolotCIRADCaractérisation de la phénologie des forêts du nord-Congo avec l’utilisation des données Spot-4 (Take-5)
9h2520′ + 5′A. VerhegghenJRCAssessing Forest Degradation in the tropics using Time Series of Fine Spatial Resolution Imagery
9h5020′ + 5′M. SzulkinCEFE CNRS MontpellierInferring blue tit (Cyanistes caeruleus) reproductive phenology using SPOT4 imagery
10h1530′S. Sylvander/O. ArinoCNES/ESASPOT5/Take5 operation in 2015
10h4530′Coffee break
11h1520′ + 5′JP. DedieuUniv. GrenobleSPAMN : Spot pour le suivi Alpin du manteau Neigeux. Résultats et bilan.
11h4020′ + 5′A. FacelloIRPI TurinSnow Water Equivalent and Slope Movements from Satellite Data: potential of space-borne observations with high spatial and temporal sampling. Case study: Tena Valley (Central Pyrenees, Spain).
12h0520′ + 5′S. CerisierGIP Loire EstuaireRemote sensing data with high repetitivity : a contribution to coastal and estuarine processes knowledge
12h3020′ + 5′V.LafonUniv. BordeauxSPOT4 (Take5) Experiment: simulation of Sentinel-2 time-series to monitor the maximum turbidity zone of tidal estuaries
12h5520′ + 5′Questions/Answers

Plus d'actualités

BIOMASS, the third launched satellite mission designed at CESBIO !

After SMOS in 2009, and VENµS in 2017, the CESBIO laboratory is very proud to see its third proposed mission, Biomass, reach orbit. As always, it has been a long journey from the idea, at the beginning of the century, to the selection in 2013 as the seventh Earth Explorer Mission by ESA, to the […]

Biophysical parameter retrieval from Sentinel-2 images using physics-driven deep learning for PROSAIL inversion

The results presented here are based on published work: Y. Zérah, S. Valero, and J. Inglada. « Physics-constrained deep learning for biophysical parameter retrieval from sentinel-2 images: Inversion of the prosail model« , in Remote Sensing of Environment, doi: 10.1016/j.rse.2024.114309. This work is part of the PhD of Yoël Zérah, supervised by Jordi Inglada and Silvia Valero. […]

Nouvel article : peu d’apport des images Sentinel-1 pour le suivi du dépérissement des chênes et châtaigniers

Dans le cadre du projet SuFoSat mené au CESBIO, une collaboration entre trois laboratoires (CESBIO, Dynafor et P2PE) a permis d’évaluer l’apport des images Sentinel-1 pour la détection précoce du dépérissement sur deux essences de feuillus : les chênes et les châtaigniers sur une vaste zone (12 tuiles Sentinel-2, voir Figure 1). Des classifications ont été […]

Rechercher