Academic literature on the topic 'Images de la forêt'
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Journal articles on the topic "Images de la forêt"
Matsaguim Nguimdo, Cédric Aurélien, and Emmanuel D. Tiomo. "FORET D'ARBRES ALEATOIRES ET CLASSIFICATION D'IMAGES SATELLITES : RELATION ENTRE LA PRECISION DU MODELE D'ENTRAINEMENT ET LA PRECISION GLOBALE DE LA CLASSIFICATION." Revue Française de Photogrammétrie et de Télédétection, no. 222 (November 26, 2020): 3–14. http://dx.doi.org/10.52638/rfpt.2020.477.
Full textBarima, Yao Sadaiou Sabas, Nicolas Barbier, Issouf Bamba, Dossahoua Traoré, Jean Lejoly, and Jan Bogaert. "Dynamique paysagère en milieu de transition forêt-savane ivoirienne." BOIS & FORETS DES TROPIQUES 299, no. 299 (March 1, 2009): 15. http://dx.doi.org/10.19182/bft2009.299.a20419.
Full textTegno Nguekam, Eric Wilson, Salomon C. Nguemhe Fils, Joachim Etouna, and Simon Njeudeng Tenku. "ANALYSE DE LA DEFORESTATION DANS LA PERIPHERIE OUEST DE LA RESERVE DE BIOSPHERE DU DJA AU CAMEROUN, A PARTIR D'UNE SERIE MULTI-ANNUELLE D'IMAGES LANDSAT." Revue Française de Photogrammétrie et de Télédétection, no. 222 (November 26, 2020): 31–41. http://dx.doi.org/10.52638/rfpt.2020.434.
Full textNdamiyehe Ncutirakiza, Jean-Baptiste, Philippe Lejeune, Sylvie Gourrlet-Fleury, Adeline Fayolle, Léopold Ndjele Mianda-Bungi, and Gauthier Ligot. "Quantifier les dimensions des houppiers à l’aide d’images aériennes à haute résolution pour estimer l’accroissement diamétrique des arbres dans les forêts d’Afrique centrale." BOIS & FORETS DES TROPIQUES 343 (March 27, 2020): 67–81. http://dx.doi.org/10.19182/bft2020.343.a31848.
Full textMarchand, Mario. "La représentation sociale de l’espace traditionnel des autochtones par rapport à celle du territoire des allochtones : l’exemple de la forêt mauricienne, 1534-1934." Cahiers de géographie du Québec 56, no. 159 (May 1, 2013): 567–82. http://dx.doi.org/10.7202/1015307ar.
Full textNjutapvoui, Nourdi, RUDANT Jean Paul, and ONGUENE RAPHAEL. "EVALUATION DU POTENTIEL DES SERIES D’IMAGES MULTI-TEMPORELLES OPTIQUE ET RADAR DES SATELLITES SENTINEL 1 & 2 POUR LE SUIVI D’UNE ZONE CÔTIÈRE EN CONTEXTE TROPICAL : CAS DE L’ESTUAIRE DU CAMEROUN POUR LA PÉRIODE 2015-2020." Revue Française de Photogrammétrie et de Télédétection 223 (August 25, 2021): 88–103. http://dx.doi.org/10.52638/rfpt.2021.586.
Full textMama, Adi, Issouf Bamba, Brice Sinsin, Jan Bogaert, and Charles De Cannière. "Déforestation, savanisation et développement agricole des paysages de savanes-forêts dans la zone soudano-guinéenne du Bénin." BOIS & FORETS DES TROPIQUES 322, no. 322 (October 17, 2014): 66. http://dx.doi.org/10.19182/bft2014.322.a31237.
Full textSela, Ron. "Philippe Forêt and Andreas Kaplony (eds.), The Journey of Maps and Images on the Silk Road (948)." Journal of Inner Asian Art and Archaeology 4 (January 2009): 183. http://dx.doi.org/10.1484/j.jiaa.3.32.
Full textN'Guessan Bi, Vami Hermann, Mahaman Bachir Saley, Narcisse Talla, Janvier Fotsing, Kouadio Affian, and Emmanuel Tonye. "Apport de la télédétection à l'analyse de la dynamique de l'occupation du sol à partir d'une utilisation couplée d'un modèle de Markov et d'un automate cellulaire. Cas du département de Sinfra (centre-ouest de la Côte d'Ivoi." Revue Française de Photogrammétrie et de Télédétection, no. 204 (April 8, 2014): 23–42. http://dx.doi.org/10.52638/rfpt.2013.19.
Full textKerrache, Ghaouti, Abderrahmane Labani, Khélouf Benabdeli, and Chaouki Chafai. "Dynamique de la végétation forestière et impact des travaux du réaménagement forestier dans les monts de Daïa-Saïda (ouest Algérien)." Lebanese Science Journal 20, no. 2 (August 27, 2019): 230–47. http://dx.doi.org/10.22453/lsj-020.2.230-247.
Full textDissertations / Theses on the topic "Images de la forêt"
Simard, Marc. "Analyse de texture multiéchelle par transformée par ondelettes des images RSO, application aux images ERS-1 de la forêt tropicale." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0026/NQ31510.pdf.
Full textKarasiak, Nicolas. "Cartographie des essences forestières à partir de séries temporelles d’images satellitaires à hautes résolutions : stabilité des prédictions, autocorrélation spatiale et cohérence avec la phénologie observée in situ." Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0115.
Full textForests have a key role on earth, whether to store carbon and so reducing the global warming or to provide a place for many species. However, the composition of the forest (the location of the tree species or their diversity) has an influence on the ecological services provided. In this context, it seems critical to map tree species that make it up the forest. Remote sensing, especially from satellite images, appears to be the most appropriate way to map large areas. Thanks to the satellite constellations such as Sentinel-2 or Landsat-8 and their free acquisition for the user, the use of time series of satellite images with high spatial, spectral and temporal resolution using automatic learning algorithms is now easy to access. While many works have studied the potential of satellite images to identify tree species, few use time series (several images per year) with high spatial resolution and taking into account the spatial autocorrelation of references, i.e. the spectral similarity of spatially close samples. However, by not taking this phenomenon into account, evaluation biases may occur and thus overestimate the quality of the learning models. It is also a question of better identifying the methodological barriers in order to understand why it can be easy or complicated for an algorithm to identify one species from another. The general objective of the thesis is to study the potential and the obstacles concerning the idenficiation of forest tree species from satellite images time series with high spatial, spectral and temporal resolution. The first objective is to study the temporal stability of predictions from a nine-year archive of the Formosat-2 satellite. More specifically, the work focuses on the implementation of a validation method that is as faithful as possible to the observed quality of the maps. The second objective focuses on the link between in situ phenological events (leaf growth at the beginning of the season, or leaf loss and coloration at the end of the season) and what can be observed by remote sensing. In addition to the ability to detect these events, it will be studied whether what allows the algorithms to identify tree species from each other is related to species-specific behaviors
Palla, Florence. "Caractérisation et distribution spatiale des groupements végétaux de la mosaïque forêt-savane du Parc National de la Lopé (Gabon) : apport des traits caractéristiques de la végétation (traits d'histoire de vie) et des images radar PALSAR." Paris 6, 2011. http://www.theses.fr/2011PA066377.
Full textPetro, Balaguer Ana Belén. "Analytical methods fort he study of color in digital images." Doctoral thesis, Universitat de les Illes Balears, 2006. http://hdl.handle.net/10803/9409.
Full textAleman, Julie. "Structure de la végétation en Afrique centrale : rôles des forçages anthropiques et naturels." Phd thesis, Université Montpellier II - Sciences et Techniques du Languedoc, 2013. http://tel.archives-ouvertes.fr/tel-00998484.
Full textLeboeuf, Antoine. "Méthode de calcul de la biomasse aérienne des arbres de peuplements d'épinette noire (Picea mariana) en forêt subarctique à l'aide de la fraction d'ombre sur les images Quickbird et Ikonos." Mémoire, Université de Sherbrooke, 2005. http://savoirs.usherbrooke.ca/handle/11143/2411.
Full textPelletier, Charlotte. "Cartographie de l'occupation des sols à partir de séries temporelles d'images satellitaires à hautes résolutions : identification et traitement des données mal étiquetées." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30241/document.
Full textLand surface monitoring is a key challenge for diverse applications such as environment, forestry, hydrology and geology. Such monitoring is particularly helpful for the management of territories and the prediction of climate trends. For this purpose, mapping approaches that employ satellite-based Earth Observations at different spatial and temporal scales are used to obtain the land surface characteristics. More precisely, supervised classification algorithms that exploit satellite data present many advantages compared to other mapping methods. In addition, the recent launches of new satellite constellations - Landsat-8 and Sentinel-2 - enable the acquisition of satellite image time series at high spatial and spectral resolutions, that are of great interest to describe vegetation land cover. These satellite data open new perspectives, but also interrogate the choice of classification algorithms and the choice of input data. In addition, learning classification algorithms over large areas require a substantial number of instances per land cover class describing landscape variability. Accordingly, training data can be extracted from existing maps or specific existing databases, such as crop parcel farmer's declaration or government databases. When using these databases, the main drawbacks are the lack of accuracy and update problems due to a long production time. Unfortunately, the use of these imperfect training data lead to the presence of mislabeled training instance that may impact the classification performance, and so the quality of the produced land cover map. Taking into account the above challenges, this Ph.D. work aims at improving the classification of new satellite image time series at high resolutions. The work has been divided into two main parts. The first Ph.D. goal consists in studying different classification systems by evaluating two classification algorithms with several input datasets. In addition, the stability and the robustness of the classification methods are discussed. The second goal deals with the errors contained in the training data. Firstly, methods for the detection of mislabeled data are proposed and analyzed. Secondly, a filtering method is proposed to take into account the mislabeled data in the classification framework. The objective is to reduce the influence of mislabeled data on the classification performance, and thus to improve the produced land cover map
Shang, Xiaoxia. "Etude de la canopée forestière : De la mesure lidar aéroportée à l'observation spatiale." Thesis, Versailles-St Quentin en Yvelines, 2014. http://www.theses.fr/2014VERS0059/document.
Full textThe research presented in this thesis aims at evaluating the usage of active remote sensor lidar, from space platforms to monitor forest systems at a global scale. Forest is one of the main climate regulators through biogeochemical cycles, in which the most important processes are water cycle and carbon cycle. However, it is still poorly documented at a global scale because it is not always easy to get the information. Airborne and spaceborne observations, through remote sensing, are therefore the most suitable approaches to characterize the interactions between forest and atmosphere, at a regional or global scale. In order to improve the lidar remote sensing, it was necessary to build a representative database of different forest types, from managed forest to primary tropical forest. These data are obtained from several experiments using a new airborne demonstrator, the ULICE (Ultraviolet LIdar for Canopy Experiment). These data allows us to evaluate different uncertainty sources associated with the measurements for the extraction of corresponding forest parameters (i.e. tree height, aboveground biomass, leaf area index, etc.). This evaluation is based on the development of a numerical simulator which takes into account the surface characteristics, the atmosphere, the lidar instrumentation, and the satellite orbitography. We show that the active remote sensing sensor lidar is a powerful measuring method to characterize the forest from airborne observations; it remains very promising for spaceborne systems in low orbit, between 300 and 500 km, as the International Space Station
Colin, Koeniguer Elise. "Apport de la Polarimétrie à l'interférometrie radar pour l'estimation de hauteurs de cibles et de paramètres de forêt." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2005. http://tel.archives-ouvertes.fr/tel-00011111.
Full textZammit, Olivier. "Détection de zones brûlées après un feu de forêt à partir d'une seule image satellitaire SPOT 5 par techniques SVM." Phd thesis, Université de Nice Sophia-Antipolis, 2008. http://tel.archives-ouvertes.fr/tel-00345683.
Full textLe modèle est fondé sur les Séparateurs à Vaste Marge (SVM), une technique de classification supervisée qui a démontré une meilleure précision et une meilleure capacité de généralisation que les algorithmes de classification plus traditionnels. Concernant notre problème de détection, les différentes zones brûlées possèdent des caractéristiques spectrales assez similaires, au contraire des zones non brûlées (végétation, routes, eau, zones urbaines, nuage, ombre...) dont les caractéristiques spectrales varient énormément. Nous proposons donc d'utiliser les One-Class SVM, une technique qui dérive des SVM mais qui n'utilise que des exemples de pixels brûlés pour les phases d'apprentissage et de classification.
Afin de prendre en compte l'information spatiale de l'image, l'algorithme OC-SVM est utilisé comme une technique de croissance de régions, ce qui permet de diminuer les fausses alarmes et d'améliorer les contours des zones brûlées.
De plus, la base d'exemple de pixels brûlés nécessaire à l'apprentissage des techniques SVM est déterminée automatiquement à partir de l'histogramme de l'image.
Finalement, la méthode de classification proposée est testée sur plusieurs images satellitaires afin de valider son efficacité selon le type de végétation et la surface des zones brûlées. Les zones brûlées obtenues sont comparées aux vérités de terrain fournies par le CNES, Infoterra France, le SERTIT, les Services Départementaux d'Incendies et de Secours ou l'Office National des Forêts.
Books on the topic "Images de la forêt"
Matejek, Sébastien. Méthode de mise à jour des cartes forestières en forêt privée à l'aide des images LANDSAT TM. Québec: Gouvernement du Québec, Ministère des ressources naturelles, Direction de la recherche forestière, 1997.
Find full textManduca, Kim. FWHP: Images of Fort William Historical Park. [Thunder Bay, Ont: Kim Manduca], 2009.
Find full textCampen, Richard N. Images of Sanibel, Captiva, Fort Myers: A new visual delight. Fort Myers, FL: West Summit Press, 1995.
Find full textBoudru, Marc. Forêt et sylviculture. Gemblaux: Presses agronomiques de Gembloux, A.S.B.L, 1986.
Find full textBook chapters on the topic "Images de la forêt"
Michaelsen, Anja Sunhyun. "‘Locked out in nature’." In Cultural Inquiry, 207–25. Berlin: ICI Berlin Press, 2020. http://dx.doi.org/10.37050/ci-17_10.
Full text"Le programme fort." In La philosophie des sciences en images, 63. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1904-1.c046.
Full text"Constructionnisme vs. programme fort." In La philosophie des sciences en images, 69. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1904-1-052.
Full text"Constructionnisme vs. programme fort." In La philosophie des sciences en images, 69. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1904-1.c052.
Full textSellato, Bernard. "Forêt." In Guide des Humanités environnementales, 363–72. Presses universitaires du Septentrion, 2016. http://dx.doi.org/10.4000/books.septentrion.19348.
Full textGélinas, Nancy. "Forêt." In Le Québec d’une carte à l’autre, 32–33. Presses de l'Université Laval, 2018. http://dx.doi.org/10.2307/j.ctv1g24781.18.
Full textDamas, Geneviève. "Forêt." In Des traversées et des mots, 92–94. Mardaga, 2019. http://dx.doi.org/10.3917/mard.colle.2019.01.0092.
Full textLe Scanff, Yvon. "Forêt verte et forêt noire : une polarité romantique." In La forêt romantique, 159–71. Presses Universitaires de Bordeaux, 2013. http://dx.doi.org/10.4000/books.pub.18438.
Full textLionel. "La forêt tropicale." In Rencontres, thérapie et création, 15–16. Presses universitaires du Septentrion, 2014. http://dx.doi.org/10.4000/books.septentrion.29328.
Full textBoucher, Jacques L., and Guy Chiasson. "Habiter la forêt:." In La gouvernance locale des forêts publiques québécoises, 169–86. Presses de l'Université du Québec, 2013. http://dx.doi.org/10.2307/j.ctv18ph543.11.
Full textConference papers on the topic "Images de la forêt"
Fochesato, Andrea. "L‘économie de la construction en bois à Bibracte. Métrologie et standardisation, de l‘architecture à la forêt." In Interdisciplinarité et nouvelles approches dans les recherches sur l'âge du Fer. Interdisciplinarity and New Approaches in the Research of the Iron Age. Brno: Masarykova univerzita, 2017. http://dx.doi.org/10.5817/cz.muni.p210-8822-2017-7.
Full textCabrera Cruza, Alfonso, Massimo Leserri, Gabriele Rossi, and Ricardo Zabaleta. "Un rilievo speditivo di emergenza. Forte San José a Cartagena de Indias (Colombia)." In FORTMED2020 - Defensive Architecture of the Mediterranean. Valencia: Universitat Politàcnica de València, 2020. http://dx.doi.org/10.4995/fortmed2020.2020.11388.
Full textLópez Mújica, Montserrat. "Visiones literarias del río Ródano: imágenes de un mito." In XXV Coloquio AFUE. Palabras e imaginarios del agua. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/xxvcoloquioafue.2016.2903.
Full textGarcía Fernández, Manuel Ángel. "Les représentations de l’eau dans les lais merveilleux bretons." In XXV Coloquio AFUE. Palabras e imaginarios del agua. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/xxvcoloquioafue.2016.2978.
Full textFang, Shidong, Dong Chen, Zhen Liu, Chunsheng Hu, and Hanyu Ma. "Analysis on the damage efficiency caused by image terminal guided rocket to fort targets." In 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2018. http://dx.doi.org/10.1109/itoec.2018.8740597.
Full textBenzina, Ouafae. "Du lexique de l'eau dans Mont-Oriol et Pierre et Jean de Guy de Maupassant." In XXV Coloquio AFUE. Palabras e imaginarios del agua. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/xxvcoloquioafue.2016.3081.
Full textGómez Vives,, Alejandro. "Le Corbusier en Briey. Habitar la unité del bosque. *** Le Corbusier in Briey. Inhabiting the unité of the forest." In 8º Congreso Internacional de Arquitectura Blanca - CIAB 8. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ciab8.2018.7434.
Full textTan, Chih-Hung, Chung-Hsin Juan, John Criag, and Jonathan D. Jordan. "Identification of Effective Wavebands of Aerial Hyperspectral Imagery for Wetland Vegetation Mapping in Fort. Drum Marsh, Florida." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4779857.
Full textRiccio, Daniele, Gerardo Di Martino, Antonio Iodice, Giuseppe Ruello, and Ivana Zinno. "Fractal dimension images from SAR images." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025020.
Full textVandewalle, Patrick, Sabine E. Susstrunk, and Martin Vetterli. "Superresolution images reconstructed from aliased images." In Visual Communications and Image Processing 2003, edited by Touradj Ebrahimi and Thomas Sikora. SPIE, 2003. http://dx.doi.org/10.1117/12.506874.
Full textReports on the topic "Images de la forêt"
Toutin, Th, and S. Amaral. Extraction du couvert végétal en forêt Brésilienne avec des images stéréoscopiques de RADARSAT (résumé étendu). Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/219798.
Full textSmith, Adam, Megan W. Tooker, Meghan Roller, and Rory Nicholson. Fort Monroe Historic Image Report. Fort Belvoir, VA: Defense Technical Information Center, August 2010. http://dx.doi.org/10.21236/ada584064.
Full textMarshak, Ronni. Getty Images. Boston, MA: Patricia Seybold Group, December 2005. http://dx.doi.org/10.1571/cs12-8-05cc.
Full textLowe, C., R. Kung, and L. C. Struik. Composite lithology-magnetic anomaly image, Fort Fraser, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/211854.
Full textPhelps, Steve. Images of F. Washington, DC: The MAA Mathematical Sciences Digital Library, May 2009. http://dx.doi.org/10.4169/loci003304.
Full textBergkessel, Megan, Amy Cameron, Sarah Coulthurst, Manu De Rycker, Helge Dorfmueller, Erin Hardee, Lewis Houghton, et al. Images of Microbiology. University of Dundee, May 2021. http://dx.doi.org/10.20933/100001214.
Full textWendelberger, James G., Kimberly Ann Kaufeld, Elizabeth J. Kelly, Juan Duque, and John M. Berg. Automated Image Analysis for Screening LCM Images – Examples from 09DE2 Images. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1422981.
Full textCIFOR. Justice dans la forêt: Moyens de subsistance ruraux et mise en application de la loi forestière. Center for International Forestry Research (CIFOR), 2006. http://dx.doi.org/10.17528/cifor/001934.
Full textKelekci, Osman. Transformations with Palindromic Images. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, June 2020. http://dx.doi.org/10.7546/crabs.2020.06.01.
Full textZweig, George. Adaptive Compression of Images. Fort Belvoir, VA: Defense Technical Information Center, December 1996. http://dx.doi.org/10.21236/ada336701.
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