N. O. Adeoye, Multi-temporal image classification and change analysis of land use, South-Western Nigeria. 9ième Conférence Internationale AARSE, pp.29-31, 2012.

D. K. Agarwal, J. A. Silander, A. E. Gelfand, R. E. Dewar, and J. G. Michelson-jr, Tropical deforestation in Madagascar: analysis using hierarchical, spatially explicit, Bayesian regression models, Ecological Modelling, vol.185, issue.1, pp.105-131, 2005.
DOI : 10.1016/j.ecolmodel.2004.11.023

H. Alphan, Classifying land cover conversions in coastal wetlands in the Mediterranean : pairwise comparisons of Landsat images. Land Degradation & Development, p.15, 2011.

N. E. Andrianary, Etude de la dynamique spatio-temporelle des ressources forestières du parc national Ranomafana et de ses zones périphériques, 2012.

M. D. Anwar, Classification d'image satellitaire par l'algorithme Séparateur à Vaste Marge (SVM) Mémoire de DEA (Diplôme d'Etudes Approfondies) en Géophysique, Faculté des Sciences, vol.75, p.pp, 2010.

Y. Auda, O. Hagolle, J. P. Gastellu-etchegorry, S. Rakotoniaina, R. Roux et al., Contribution of multitemporal very high resolution images to Ambrosia artemisiifolio L. remote sensing, Abstracts in Allergo-Journal, vol.17, issue.5, p.380, 2008.

L. S. Bernstein, S. M. Adler-golden, and R. L. Sundberg, Validation of the QUick atmospheric correction (QUAC) algorithm for VNIR-SWIR multi- and hyperspectral imagery, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, pp.668-678, 2005.
DOI : 10.1117/12.603359

B. Boser, I. Guyon, and V. Vapnik, A training algorithm for optimal margin classifiers, Proceedings of the fifth annual workshop on Computational learning theory , COLT '92, pp.144-153, 1992.
DOI : 10.1145/130385.130401

R. Caloz and C. Collet, Traitements numériques d'images de télédétection. Presses de l, Précis de télédétection, p.386, 2001.

. Cogesfor, Projet Cogesfor (Conservation et Gestion des Ecosystèmes Forestiers Malagasy). FFEM, Rapport, 2009.

P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, Review ArticleDigital change detection methods in ecosystem monitoring: a review, International Journal of Remote Sensing, vol.83, issue.9, pp.1565-1596, 2004.
DOI : 10.1080/0143116031000101675

B. Desclee, P. Defourny, and P. Bogaert, Identifying Forest Dynamics for Change Detection Using Multitemporal SPOT Imagery. IEEE International Workshop on the Analysis of Multi-temporal Remote Sensing Images, pp.1-6, 2007.

J. R. Eastman, Idrisi Andes, 2006.

J. R. Eastman, Idrisi Selva, 2012.

D. Fengping, L. Xiaowen, and Z. Chongguang, A New Method in Change Detection of Remote Sensing Image. CISP'09, IEEE 2nd International Congress on Image and Signal Processing, pp.1-4, 2009.

S. E. Franklin, D. R. Connery, and J. A. Williams, Classification of alpine vegetation using Landsat Thematic Mapper, SPOT HRV and DEM data, Canadian Journal of Remote Sensing, vol.20, pp.49-56, 1994.

K. E. Stillwell-j, . Langrand-o, and . P. Lowry-ii-p, Modelling land-use change. Theories and methods. Chapter Modelling Land-Use Change Madagascar and the Ocean Indian Island Hotspots revisited. Earth's biologically richest and most endangered terrestrial ecoregions, ITT (Visual Information Solutions) CEMEX SA. De CV, pp.1-21, 2004.

D. Lu, P. Mausel, E. Brondizio, and E. Moran, Change detection techniques, International Journal of Remote Sensing, vol.66, issue.12, pp.2365-2407, 2004.
DOI : 10.1659/0276-4741(2001)021[0175:LCCATA]2.0.CO;2

J. F. Mas, Monitoring land-cover changes: A comparison of change detection techniques, International Journal of Remote Sensing, vol.20, issue.1, pp.139-152, 1999.
DOI : 10.1080/014311699213659

N. Myers, Threatened biotas: "Hot spots" in tropical forests, The Environmentalist, vol.35, issue.1, pp.1-20, 1988.
DOI : 10.1007/BF02240252

C. Petit, T. Scudder, and E. Lambin, Quantifying processes of land-cover change by remote sensing: Resettlement and rapid land-cover changes in south-eastern Zambia, International Journal of Remote Sensing, vol.23, issue.17, pp.3435-3456, 2001.
DOI : 10.1016/0304-3800(89)90057-4

. Pnae, La diversité biologique à Madagascar. Centre d'échange d'informations de Madagascar. Convention sur la Diversité Biologique, 2003.

S. F. Rafanomezantsoa, Analyse de la pertinence du système de suivi d'impact des transferts de gestion (SITG) mis en place à Didy et sur le plateau Mahafaly, p.pp, 2012.

T. Raharimahefa, Geoconservation and geodiversity for sustainable development in Madagascar, Madagascar Conservation & Development (MCD), pp.126-134, 2012.
DOI : 10.4314/mcd.v7i3.5

D. B. Raik and D. Decker, A Multisector Framework for Assessing Community-Based Forest Management: Lessons from Madagascar, Ecology and Society, vol.12, issue.1, p.14, 2007.
DOI : 10.5751/ES-02022-120114

F. A. Rakotomalala, Evaluation de l'apport d'images à Très Haute Résolution Spatiale pour la modélisation de l'occupation du sol, 2012.

D. Mémoire-de, Diplôme d'Etudes Approfondies) en Géophysique, Faculté des Sciences

S. Rakotoniaina, Amélioration de la précision de la classification en utilisant une image multispectrale multitemporelle in Ensemble de travaux de recherche de HDR en Géophysique, Faculté des Sciences, vol.9, p.pp, 2009.

L. D. Robertson and D. J. King, Comparison of pixel- and object-based classification in land cover change mapping, International Journal of Remote Sensing, vol.49, issue.6, pp.1505-1529, 2011.
DOI : 10.1016/S0034-4257(98)00068-6

D. Salajanu and C. E. Olson, The significance of spatial resolution: identifying forest cover from satellite data, Journal of Forestry, vol.99, pp.32-38, 2001.

J. T. Tou and R. C. Gonzalez, Pattern recognition principles, 1974.

V. P. Vapnik, M. T. Wolter-p, . E. Host-g, and . R. Crow-t, Statistical Learning Theory Wiley-Interscience Improved forest classification in the northern Lake States using multitemporal Landsat imagery, pp.1129-1143, 1995.

H. Zhang, B. Zhang, and C. Zhao, Modelling the future variations of Land Use and land cover in the middle reaches of Heihe River, northwestern China, 2010 IEEE International Geoscience and Remote Sensing Symposium, pp.883-886, 2010.
DOI : 10.1109/IGARSS.2010.5650983

W. Zhou, A. Troy, and M. Grove, A Comparison of Object-Based with Pixel-Based Land Cover Change Detection in the Baltimore Metropolitan Area using Multitemporal High Resolution Remote Sensing Data, IGARSS 2008, 2008 IEEE International Geoscience and Remote Sensing Symposium, pp.683-686, 2008.
DOI : 10.1109/IGARSS.2008.4779814