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INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal UMR ISPA Institute of Agricultural Sciences

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GUYON Dominique

Equipe MOST

Ingénieur de Recherche

INRA Centre de Bordeaux Aquitaine

71 avenue E. Bourlaux

CS 20032 33882 Villenave d'Ornon cedex

05 57 12 24 29

dominique.guyon@inrae.fr

 

Parcours

Docteur-Ingénieur, Astronomie et techniques spatiales, Université Paul Sabatier, Toulouse, 1985

Ingénieur agronome, Ecole nationale supérieure d’Agronomie et Industries alimentaires, Nancy, 1975.

Recherches 

Mes recherches visent le suivi de la dynamique de la végétation forestière sur un continuum d’échelles spatiales allant de la parcelle à la région, en s’appuyant sur des séries temporelles de données de télédétection dans le domaine des longueurs d’onde du rayonnement solaire réfléchi (visible, proche et moyen infrarouge) et de résolutions spatiale et temporelle variées (de quelques mètres à 1km ; de 1 jour à 1 an). La production d’indicateurs spatio-temporels de la phénologie foliaire, de la santé, de la ressource et de la productivité des systèmes forestiers sous l’effet des itinéraires sylvicoles, des aléas biotiques et des contraintes de l’environnement physique (climat, sol, accidents climatiques comme les tempêtes ou les sécheresses) et ce dans le contexte du changement climatique actuel est visée.

Il s'agit à la fois de mettre au point et valider des méthodes innovantes d'interprétation et d’utilisation de données de télédétection, issues de capteurs satellitaires déjà mis sur orbite ou futurs, et de produire de nouvelles connaissances sur la réponse des écosystèmes forestiers face aux contraintes environnementales. La calibration et la validation de ces méthodes s'appuient notamment sur la mesure au sol des variations saisonnières de la surface foliaire verte (LAI) et de la fraction de rayonnement photosynthétiquement actif intercepté (FiPAR) des différentes strates de végétation forestière (arbres, sous-bois) avec des techniques de proxidétection.

dominique_guyon

Variations spatiales de la date de sortie des feuilles au printemps (en jours juliens) des forêts feuillues pyrénéennes estimée avec les données du capteur satellitaire VEGETATION.
Estimation limitée aux pixels occupés à plus de 40% par des forêts feuillues.Les isocontours et les tons de gris indiquent l'altitude. (Guyon et al., Remote Sensing of Environment, 2011).

 

Compétences

télédétection visible, proche et moyen infrarouge; mesure de rayonnement; modélisation du transfert radiatif, traitement d'image, modélisation et inférence statistique, analyse spatiale, SIG (Système d'information géographique).

 

Publications 

1- Revue à comité de lecture

Kamimura, K., Gardiner, B., Dupont, S., Guyon, D., Meredieu, C. (2016). Mechanistic and statistical approaches to predicting wind damage to individual maritime pine (Pinus pinaster Ait.) trees in forests. Canadian Journal of Forest Research, 46, 88-100. DOI : 10.1139/cjfr-2015-0237.

Motte, E., Zribi, M., Fanise, P., Egido, A., Darrozes, J., Al-Yaari, A., Baghdadi, N., Baup, F., Dayau, S., Fieuzal, R., Frison, P.-L., Guyon, D., Wigneron, J.-P. (2016). GLORI: A GNSS-R dual polarization airborne instrument for land surface monitoring. Sensors, 16 (5), 21 p. DOI : 10.3390/s16050732.

Belouard T., Py N., Maillet G., Guyon D., Meredieu C., Pausader M., Champion N., 2015. Pinastéréo – Estimation de la hauteur dominante et de la biomasse forestière dans le massif des Landes de Gascogne à partir d'images stéréoscopiques Pléiades. Revue Française de Photogrammétrie et de Télédétection (RFPT), N°209 (janvier 2015), 133-139.

Regniers O., Bombrun L., Guyon D., Samalens J.C., Germain C., 2015. Wavelet-based Texture Features for the Classification of Age Classes in a Maritime Pine Forest. IEEE Geoscience and Remote Sensing Letters (GRSL), vol 12, N°3, march 2015, 621-625

Wingate, L., Ogée, J., Cremonese, E., Filippa, G., Mizunuma, T., Migliavacca, M., Moisy, C., Wilkinson, M., Moureaux, C., Wohlfahrt, G., Hammerle, A., Hörtnagl, L., Gimeno, C., Porcar-Castell, A., Galvagno, M., Nakaji, T., Morison, J., Kolle, O., Knohl, A., Kutsch, W., Kolari, P., Nikinmaa, E., Ibrom, A., Gielen, B., Eugster, W., Balzarolo, M., Papale, D., Klumpp, K., Köstner, B., Grünwald, T., Joffre, R., Ourcival, J.-M., Hellstrom, M., Lindroth, A., Charles, G., Longdoz, B., Genty, B., Levula, J., Heinesch, B., Sprintsin, M., Yakir, D., Manise, T., Guyon, D., Ahrends, H., Plaza-Aguilar, A., Guan, J. H., Grace, J. (2015). Interpreting canopy development and physiology using the EUROPhen camera network at flux sites. Biogeosciences, 12, 5995-6015. DOI : 10.5194/bg-12-5995-2015.

Beguet B.; Guyon D., Boukir S.; Chehata N., 2014. Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 96: 164–178.

Beguet B., Chehata N., Boukir S., Guyon D., 2014. Quantification et cartographie de la structure forestière à partir de la texture des images Pléiades. Revue Française de Photogrammétrie et de Télédétection (RFPT), N°208, 83-88.

Chehata N., Orny C., Boukir B., Guyon D., Wigneron J.P., 2014. Object-based change detection in wind-storm damaged forest using high resolution multispectral images. International Journal of Remote Sensing, 35(13):4758-4777.

Lagouarde, J.-P. ; Dayau, S. ; Moreau, P. ; Guyon, D., 2014. Directional anisotropy of brightness surface temperatures over vineyards: experimental results over the Medoc region (SW France). IEEE Geoscience and Remote Sensing Letters, 11 (2) : 574-578.

Lawrence, H; Wigneron, Jp; Richaume, P; Novello, N; Grant, J; Mialon, A; Al Bitar, Merlin, O, Guyon, D; Leroux, D; Bircher, S; Kerr, Y, 2014. Comparison between SMOS Vegetation Optical Depth products and MODIS vegetation indices over crop zones of the USA. Remote Sensing of Environment, 140, 396-406.

Gonzalez M., Augusto L., Gallet-Budynek A., Xue J., Yauschew-Raguenes N., Guyon D., Trichet P., Delerue F., Niollet S., Andreasson F., Achat D., Bakker M., 2013. Contribution of understory species to total ecosystem aboveground and belowground biomass in temperate Pinus pinaster Ait. forests. Forest Ecology and Management, 289: 38-47, doi: .10.1016/j.foreco.2012.10.026.

Govind, A., Guyon, D., Roujean, J.-L., Yauschew Raguenes, N., Kumari, J., Pisek, J., Wigneron, J.-P. (2013). Effects of canopy architectural parameterizations on the modeling of radiative transfer mechanism. Ecological Modelling , 251 , 114-126. DOI:10.1016/j.ecolmodel.2012.11.014.

Soudani K., Hmimina G., Delpierre N., Pontailler J.-Y., Aubinet M., Bonal D., Caquet B., Burban B., Flechard C., Guyon D., Granier A., Gross P., Heinesh B., Longdoz B., Loustau D., Moureaux C., Ourcival J.-M., Rambal S., Saint-André L., DufrỀne E., 2012. Ground-based network of NDVI measurements for tracking temporal dynamics of canopy structure and vegetation phenology in different biomes. Remote Sens. Env., 123 : 234-245, doi: 10.1016/j.rse.2012.03.012.

Guyon D., Guillot M., Vitasse Y., Cardot H., Hagolle O., Delzon S., Wigneron J.-P., 2011. Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series. Remote Sens. Environ., 15 (2): 615-627, doi: 10.1016/j.rse.2010.10.006.

 

2- Chapitres d'ouvrage

Guyon D. and Bréda N., 2016. Applications of Multispectral Optical Satellite Imaging in Forestry, Chapter 7 in Land Surface Remote Sensing in Agriculture and Forest, Ed. N. Baghdadi & M. Zribi, ISBN: 9781785481031, September 2016, Elsevier, 249-319. http://dx.doi.org/10.1016/B978-1-78548-103-1.50007-8

Guyon D. and Bréda N., 2016. Imagerie optique multispectrale satellitaire pour des applications forestières, Chapitre 7 in Observation des surfaces continentales par télédétection I, Agriculture et forêt, Ed. N. Baghdadi & M. Zribi, ISBN: 978-1-78405-158-7, Décembre 2016, ISTE Editions, 247-311.

Bois B., Joly D., Pieri Ph., Gaudillière J.P., Guyon D. Et Van Leeuwen C., 2014. Chapitre 7. Zonage climatique de l’aire de production des vins de Bordeaux basé sur la température. Incidences sur la phénologie de la vigne - in Changement climatique et terroirs viticoles, (Coord. QUÉNOL Hervé), Tec&Doc, Lavoisier. ISBN : 9782743015756.

 

3- Communications avec actes dans congrès international ou national

Motte E., Guyon D., Zribi M., Fanise P., Dayau S., Wigneron J.P., 2017. Results from the glorie gnss-r airborne campaign: forest areas. IGARSS 2017, IEEE International Geoscience and Remote Sensing Symposium. July 23–28, 2017, Fort Worth, Texas, USA. Communication orale.

Motte E., Zribi M., Fanise P., Baghdadi N., Baup F., Ben Hmida S, Dayau S.,Fieuzal R., Guyon D., Wigneron J.P., 2017. Results from the GLORIE GNSS-R airborne campaign: agricultural areas. IGARSS 2017, IEEE International Geoscience and Remote Sensing Symposium. July 23–28, 2017, Fort Worth, Texas, USA. Communication orale.

Motte E., Zribi M., Fanise P., Baup F., Baghdadi N., Frison P.-L., Guyon D., Lestarquit L., J.-P. Wigneron, 2016. First results from the GLORIE polarimetric GNSS-R airborne campaign dedicated to land parameters estimation, International Geoscience and Remote Sensing Symposium, IGARSS 2016, Pékin, 10-15 Juillet, 2016. DOI: 10.1109/IGARSS.2016.7730467

Guyon D., Laventure S., Belouard T., Samalens J.C., Wigneron J.P., 2015. Retrieving the stand age from a retrospective detection of multinannual forest changes using Landsat data. Application on the heavily managed maritime pine forest in southwestern France from a 30-year Landsat time-series (1984-2014). IGARSS 2015, Milan, Italie, 26-31 Juillet 2015, IEEE International Geoscience and Remote Sensing Symposium Proceedings, 1968-1971. DOI: 10.1109/IGARSS.2015.7326182.

Bouvier M., Durrieu S., Fournier F., Saint‐Geours N., Vincent G., Guyon D., Grau E., Herault B., 2015. Influence of sampling design parameters on biomass predictions derived from airborne lidar data. Proceedings of SilviLaser 2015, 28-30 September 2015, La Grande Motte, France, 137-139.

Beguet B., Chehata N., Boukir S., Guyon D., 2014. Classification of forest structure using very high resolution PLEIADES image texture. IGARSS 2014, Québec, Canada, 13-18 Juillet 2014, IEEE International Geoscience and Remote Sensing Symposium, Communication orale. DOI: 10.1109/IGARSS.2014.6946936, 2324-2327.

Guyon D., Dayau S., Kruszewski A., Beguet B., Samalens J.C., Wigneron J.P., Ducousso A., Louvet J.M., Delzon S., Bonne F., Baret F., 2014. Near-surface remote sensing observations for monitoring deciduous broadleaf forest species phenology. IGARSS 2014, Québec, Canada, 13-18 Juillet 2014, IEEE International Geoscience and Remote Sensing Symposium, Communication orale. DOI: 10.1109/IGARSS.2014.6946950, 2379-2382.

Regniers O., Bombrun L., Guyon D. , Samalens J.C., Tinel C., Grenier G., Germain Ch., 2014. Wavelet based texture modeling for the classification of very high resolution maritime pine forest images. IGARSS 2014, Québec, Canada, 13-18 Juillet 2014, IEEE International Geoscience and Remote Sensing Symposium. Poster. DOI: 10.1109/IGARSS.2014.6946861, 2027-2030.

Beguet B., Boukir S., Guyon D., Chehata N., 2013. Modelling-based feature selection for classification of forest structure using very high resolution multispectral imagery. SMC'2013, IEEE International Conference on Systems, Man, and Cybernetics, 13-16 October 2013, Manchester, UK, pages 4294-4299, DOI: 10.1109/SMC.2013.732.

Beguet B., Chehata N., Boukir S., Guyon D., 2012. Retrieving forest structure variables from Very High Resolution satellite images using an automatic method. XXII Congress of the ISPRS (International Society for Photogrammetry and Remote Sensing), 25 August – 1st September 2012, Melbourne, Australia ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I-7, 2012, 1-6

Bories N. Samalens J.C., Guyon D., Breda N, Wigneron J.P., 2012. Monitoring pine defoliation due to the processionary moth at regional scale from modis time series. IGARSS 2012, Münich, Allemagne,, 22-27 July 2012, IEEE International Geoscience and Remote Sensing Symposium, Communication orale. Pages 3383-3386. DOI: 10.1109/IGARSS.2012.6350695.

Regniers O., Govind A., Guyon D., Wigneron J.P., Baret F., 2012. A multiscale and multisensor approach of LAI retrieval in a maritime pine ecosystem. IGARSS 2012, Münich, Allemagne,, 22-27 July 2012, IEEE International Geoscience and Remote Sensing Symposium, Communication orale. Pages 1695-1698. DOI: 10.1109/IGARSS.2012.6351199.

Samalens J.C., Guyon D., Bories N., Breda N., Piou D., & Wigneron J.P., 2012. Satellite-based forest health monitoring using coarse resolution data: focus on the 2003 and 2011 droughts in France.  IGARSS 2012, Münich, Allemagne,, 22-27 July 2012, IEEE International Geoscience and Remote Sensing Symposium, Communication orale. Pages 3367-3370. DOI: 10.1109/IGARSS.2012.6350699.

See also