J. Andrieu, Dynamique des paysages dans les régions septentrionales des Rivières-du-Sud (Doctoral dissertation, vol.7, 2008.

E. Annet, Le mont Cameroun. La Terre et la vie, 1931.

J. Avakoudjo, A. Mama, I. Toko, V. Kindomihou, and B. Sinsin, Dynamique de l'occupation du sol dans le Parc National du W et sa périphérie au nord-ouest du Bénin, International Journal of Biological and Chemical Sciences, vol.8, issue.6, pp.2608-2625, 2014.

S. K. Balasundram, H. Memarian, and R. Khosla, Estimating oil palm yields using vegetation indices derived from Quickbird, Life Science Journal, vol.10, issue.4, pp.851-860, 2013.

G. H. Ball, . Hall, and J. David, ISODATA, a novel method of data analysis and pattern classification: DTIC Document, 1965.

I. Bamba, Anthropisation et dynamique spatio-tamporelle de paysages forestiers en République démocratique du Congo, 2010.

A. Bannari, D. Morin, and F. Bonn, A review of vegetation indices, Remote Sensing Reviews, 1995.

F. Baret and G. Guyot, Potentiels et limites des indices de végétation pour les évaluations LAI et APAR. Télédétection de l'environnement, vol.35, pp.161-173, 1991.

S. Barral, , 2014.

L. J. Jansen and A. D. Gregorio, Parametric land cover and land-use classifications as tools for environmental change detection, Agriculture, Ecosystems & Environment, vol.91, pp.89-100, 2002.

S. Jauffret, Application au suivi de la désertification dans le Sud tunisien (Doctoral dissertation, 2001.

M. Jebur and . Neamah, Per-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery, Geocarto International, vol.29, pp.792-806, 2014.

K. Jusoff and M. Et-pathan, Cartographie de palmiers à huile individuels à l'aide de la détection hyperspectrale aéroportée: un aperçu, Recherche appliquée en physique, vol.1, issue.1, p.15, 2009.

K. D. Kanniah, K. P. Tan, and A. P. Cracknel, UK-DMC 2 satellite data for deriving biophysical parameters of oil palm trees in Malaysia, 2012 IEEE International Geoscience and Remote Sensing Symposium, pp.6569-6572, 2012.

T. Kasetkasem, M. K. Arora, . Varshney, and . Pk, Cartographie super-résolution de la couverture terrestre utilisant une approche de Markov à base de champs aléatoires, vol.96, pp.302-314, 2005.

J. Y. Koay, T. Y. Yan, K. S. Lim, and H. T. Ewe, A microwave scattering model for the remote sensing of oil palm plantations, Piers Online, vol.5, issue.3, pp.273-276, 2009.

L. P. Koh, J. Miettinen, S. C. Liew, and J. Ghazoul, Remotely sensed evidence of tropical peatland conversion to oil palm, Proceedings of the National Academy of Sciences, vol.108, issue.12, pp.5127-5132, 2011.

L. P. Koh and D. S. Wilcove, Is oil palm agriculture really destroying tropical biodiversity? Conservation letters, vol.1, pp.60-64, 2008.

P. C. Komba-mayossa, D. Coppens, G. Eeckenbrugge, F. Borne, S. Gadal et al., Developing a method to map coconut agrosystems from high-resolution satellite images, Proceedings of the 27th International Cartographic Conference, pp.23-28, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01270740

P. C. Komba-mayossa, S. Gadal, and J. M. Roda, Remote sensing of industrial palm groves in Cameroon
URL : https://hal.archives-ouvertes.fr/hal-01533112

K. D. Kpedenou, T. Boukpessi, and T. T. Tchamie, Quantification des changements de l'occupation du sol dans la préfecture de Yoto, 2015.

J. P. Muller and M. Gavaud, Les sols. Atlas de la République unie du Cameroun, Jeune Afrique, pp.25-27, 1979.
URL : https://hal.archives-ouvertes.fr/ineris-00973368

J. P. Muller and M. Gavaud, Les sols. Atlas de la République unie du Cameroun, Jeune Afrique, pp.25-27, 1979.
URL : https://hal.archives-ouvertes.fr/ineris-00973368

F. Ndjimbi, Étude sur l'impact des plantations agro-industrielles de palmiers à huile et d'hévéas sur les populations du Gabon, World Rainforest Movement, 2013.

T. E. Ndjogui, R. N. Nkongho, S. Rafflegeau, L. Feintrenie, and P. Levang, Center for International Forestry Research (CIFOR), vol.109, 2014.

T. E. Ndjogui, R. N. Nkongho, S. Rafflegeau, L. Feintrenie, and P. Levang,

J. F. Ngamba, Evaluation par télédétection des effets de la, 2010.

E. Ngom, A. C. Makoudjou-tchendjou, and P. Levang, , 2014.

P. Rapport-provisoire and C. Ird,

. K. Nooni, Oil palm mapping using Support Vector Machine with LANDSAT ETM+ data, 2012.

J. C. Olivry, Fleuves et rivières du Cameroun, 1986.

. Paca, Etude de faisabilité d'un programme de développement des, 2009.

Y. Rapport, , p.197

V. Pereboom, Mode d'utilisation du milieu fragmenté par une espèce forestière aux habitudes discrètes: la martre des pins Martes martes (Doctoral dissertation, 2006.

A. M. Pittman, K. Carlson, L. M. Curran, and A. Ponette-gonzalez, NASA satellite data used to study the impact of oil palm expansion across Indonesian Borneo, The Earth Observer, vol.25, issue.5, pp.12-15, 2013.

T. Pouchin, . Debriej, and A. Bourcier, L'observation de la végétation de l'Afrique de l'Ouest par télédétection spatiale: l'apport de l'indice de végétation normalisé, Science et changements planétaires/Sécheresse, vol.13, issue.3, pp.187-94, 2002.

L. Provencher, C. Collet, and J. M. Dubois, Méthodes de photointerprétation et d'interprétation d'image, vol.4, 2007.

. Razali and . Sheriza, Capability of integrated MODIS imagery and ALOS for oil palm, rubber and forest areas mapping in tropical forest regions, Sensors, vol.14, pp.8259-8282, 2014.

J. A. Richards and X. Jia, Remote sensing digital image analysis Springer, 1999.

R. Richter, Correction of atmospheric and topographic effects for high spatial resolution satellite imagery. International journal of remote sensing, vol.18, pp.1099-1111, 1997.

I. A. Ricq and N. Danielle, Bolloré au Cameroun, un bilan en images, 2009.

I. A. Ricq and J. F. Gerber, Dix réponses à dix mensonges à propos de la Socapalm, Montevideo: World Rainforest Movement, 2010.

I. A. Ricq and J. F. Gerber, Dix réponses à dix mensonges à propos de la Socapalm, Montevideo: World Rainforest Movement, 2010.

W. J. Ripple, G. A. Bradshaw, and T. A. Spies, Measuring forest landscape patterns in the Cascade Range of Oregon, USA. Biological Conservation, vol.57, issue.1, pp.73-88, 1991.

J. M. Roda, Ressorts financiers et géopolitiques de l'huile de palme, Selected Book Chapters, pp.109-122, 2018.

C. Santos, J. P. Messina, ;. Santos, C. , and J. P. Messina, Multi-sensor data fusion for modeling African palm in the Ecuadorian Amazon, Photogrammetric Engineering & Remote Sensing, vol.6, pp.711-723, 2008.

R. Schlaepfer, Analyse de la dynamique du paysage. Fiche d'enseignement 4.2, Laboratoire de Gestion des Ecosystèmes, 2002.

. Liste-des-graphiques-graphique, et projections), 1976.

, Poids démographique régional en pourcentage

, Etat de l'occupation du sol et évolution des superficies (en %) des classes entre 1973 et 1988

, sol et évolution des superficies (en %) des classes entre, 2001.

, Evolution des états de surfaces (en km²) de l'occupation du sol et dynamique du paysage élaeicole de, 1973.

, Graphique 6, Contribution des classes de l'occupation du sol au changement de la forêt de, 1988.

, Bilan des changements opérés par classe au sein du paysage élaeicole de Kienké au cours des périodes, 1988.

, Graphique 8. Évolution du nombre de taches au sein de la classe forêt, 1973.

. .. ,

, Expression de la précision globale d'une classification

, Formule du taux de changement global

, Formule du taux d'évolution annuel

, Conversion des comptes numériques

. End_group-=-ephemeris-group-=-solar_vector-solar_epoch_year-=, , 2001.

. Earth_sun_distance-=-1, , pp.635667-635696

, 995156e-16) BAND61_SAT_Y_DEN_COEF =, vol.9, pp.246872-246886

, 035759e-13, 2.160068e-11, -1.958461e-16, 7.420957e-17) BAND61_SUN_Z_NUM_COEF = ( 6.554952e-05, vol.3, pp.694406-694423

. Band07_sat_x_den_coef-=, , vol.6, pp.309344-309360

, 036586e-17) BAND07_SAT_Y_DEN_COEF =, vol.9, pp.626865-626881, 194123.

, 579799e-18) BAND07_SUN_Z_NUM_COEF = ( 6.554948e-05, vol.2, pp.509519-509526

, </Spectral_Information> <Spectral_Information bandId="7" physicalBand="B8"> <RESOLUTION>10</RESOLUTION> <Wavelength> <MIN unit="nm">760</MIN> <MAX unit="nm">908</MAX> <CENTRAL unit=

. &lt;/wavelength&gt;,

, </Spectral_Information> <Spectral_Information bandId="8" physicalBand="B8A"> <RESOLUTION>20</RESOLUTION> <Wavelength> <MIN unit="nm">848</MIN> <MAX unit="nm">881</MAX> <CENTRAL unit=

. &lt;/wavelength&gt;,

, </Spectral_Information> <Spectral_Information bandId="9" physicalBand="B9"> <RESOLUTION>60</RESOLUTION> <Wavelength> <MIN unit="nm">932</MIN> <MAX unit="nm">958</MAX> <CENTRAL unit="nm">945</CENTRAL>

. &lt;/wavelength&gt;,

, </Spectral_Information> <Spectral_Information bandId="10" physicalBand="B10"> <RESOLUTION>60</RESOLUTION> <Wavelength> <MIN unit="nm">1337</MIN> <MAX unit="nm">1412</MAX> <CENTRAL unit="nm">1373.5</CENTRAL>

. &lt;/wavelength&gt;, , vol.7, pp.632-637

, </Spectral_Information> <Spectral_Information bandId="11" physicalBand="B11"> <RESOLUTION>20</RESOLUTION> <Wavelength> <MIN unit="nm">1539</MIN> <MAX unit="nm">1682</MAX> <CENTRAL unit="nm">1613.7</CENTRAL>

. &lt;/wavelength&gt;, , vol.8, pp.851-856

. &lt;/spectral_information&gt;-&lt;spectral_information and . Bandid=, 12" physicalBand="B12"> <RESOLUTION>20</RESOLUTION> <Wavelength> <MIN unit="nm">2078</MIN> <MAX unit="nm">2320</MAX> <CENTRAL unit=

. &lt;/wavelength&gt;,

&. Bandid=, >4.06496538</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="1">3.80151711</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="2">4.19139679</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="3">4.51941377</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="4">5.20518375</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="5">4.87634705</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="6">4.53920355</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="7">6.20296932</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="8">5.14433894</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="9">8.54368921</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId="10">55.13993015</PHYSICAL_GAINS> <PHYSICAL_GAINS bandId=

. &lt;/product_image_characteristics&gt;-&lt;/n1, General_Info> <n1:Geometric_Info> <Product_Footprint> <Product_Footprint> <Global_Footprint> <EXT_POS_LIST>2.625668804616714, vol.9, p.0605994694973

&. &lt;/product_footprint&gt;-&lt;coordinate_reference_system&gt; and . Horizontal_cs_type&gt;,

. &lt;/coordinate_reference_system&gt;-&lt;/n1, Geometric_Info> <n1:Auxiliary_Data_Info> <GIPP_List> <GIPP_FILENAME type="GIP_ATMIMA" version="0002">S2A_OPER_GIP_ATMIMA_MPC__20150605T094744_V20150622T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_ATMSAD" version="0005">S2A_OPER_GIP_ATMSAD_MPC__20160729T000005_V20150703T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_INVLOC" version="0004">S2A_OPER_GIP_INVLOC_MPC__20150731T092205_V20150703T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_BLINDP" version="0003">S2A_OPER_GIP_BLINDP_MPC__20150605T094736_V20150622T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_CLOINV" version="0004">S2A_OPER_GIP_CLOINV_MPC__20151021T225159_V20150701T225159_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_CONVER" version="999">S2A_OPER_GIP_CONVER_MPC__20150710T131444_V20150627T000000_210

. 00101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_DATATI" version="0007">S2A_OPER_GIP_DATATI_MPC__20151117T131048_V20150703T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_DECOMP" version="0000">S2A_OPER_GIP_DECOMP_MPC__20121031T075922_V19830101T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_EARMOD" version="0001">S2__OPER_GIP_EARMOD_MPC__20150605T094736_V20150622T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_ECMWFP" version="0002">S2A_OPER_GIP_ECMWFP_MPC__20121031T075922_V19830101T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_G2PARA" version="0001">S2A_OPER_GIP_G2PARA_MPC__20150605T094736_V20150622T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_INTDET" version="0003">S2A_OPER_GIP_INTDET_MPC__20150731T092205_V20150703T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_JP2KPA" version="0005">S2A_OPER_GIP_JP2KPA_MPC__20160222T110000_V20150622T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_OLQCPA" version="0000">S2A_OPER_GIP_OLQCPA_MPC__20170301T000010_V20150622T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_PRDLOC" version="0008">S2A_OPER_GIP_PRDLOC_MPC__20151125T152205_V20150703T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_PROBAS" version="0204">S2A_OPER_GIP_PROBAS_MPC__20170119T000204_V20170120T020000_20

/. Gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_R2ABCA" version="0113">S2A_OPER_GIP_R2ABCA_MPC__20170307T154755_V20170306T180005_99

. 999999t999999_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b01&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b02&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b03&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b04&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b05&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b06&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b07&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b08&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b8a&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b09&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b10&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b11&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b12&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b01&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b02&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b03&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b04&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b05&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b06&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b07&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b08&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b01&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b02&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b03&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b04&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b05&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b06&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b07&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b08&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b8a&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b09&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b10&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b11&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b12&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b01&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b02&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b03&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b04&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b05&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b06&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b07&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b08&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b8a&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b09&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b10&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b11&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 999999t999999_b12&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b01&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b02&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b03&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b04&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b05&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b06&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b07&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b08&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b8a&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b09&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b10&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b11&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b12&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_R2PARA" version="0003">S2A_OPER_GIP_R2PARA_MPC__20151023T224307_V20150622T224307_21

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b01&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b02&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b03&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b04&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b05&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b06&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b07&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b08&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b8a&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b09&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b10&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b11&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b12&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=,

. 000101t000000_b00&lt;/gipp_filename&gt;-&lt;gipp_filename and . Type=, GIP_SPAMOD" version="0018">S2A_OPER_GIP_SPAMOD_MPC__20161011T073954_V20161017T000000_21

. 000101t000000_b00&lt;/gipp_filename&gt;,

, Input File: extraction palmier 88 ROI Name: (Jeffries-Matusita) Pair Separation Foret [Red] 186 points and Palmier

. Foret, (ii) Thème 2 : Forêt et autres occupations du sol Input File: Forêt et autres occ_masked ROI Name: (Jeffries-Matusita) Pair Separation foret

, Résultat de l'étude de séparabilité à partir de l'image Landsat, 2001.

, Seule la séparabilité entre la classe palmier et forêt est faible (JM<1.8), toutes les autres classes sont de bonnes séparabilité (JM> 1.8). (iii) Thème 1 : Palmier Input File: Forêt et autres occ_masked ROI Name

, Pair Separation Foret [Red] 186 points and Palmier

, peri-urban agriculture planning, Proceedings of Map Asia 2004 Conference, p.37

. Bourdeix-r, J. L. Konan, and Y. P. Cho, Cocotier. Guide des variétés traditionnelles et améliorées. Diversiflora, vol.104, p.pp, 2005.

C. S. , Combinaison de classifieurs: une approche pour l'amélioration de la classification d'images multisources multidates de télédétection, Télédétection, vol.4, pp.289-301, 2004.

D. S. Culvenor, , 2002.

D. E. Flouvat, F. Stoll-b, and . Selmaoui-folcher-n, , 2011.

, Sixth International Conference on Digital Information Management, pp.48-53

. Domaç-a, U. Zeydanli, E. Yesilnacar, and M. L. Suzen, Integration and usage of indices, feature components and topography in vegetation classification for regional, pp.204-208, 2004.

. E. Koffi-z, J. L. Konan, . E. Issali-a, . T. Lekadou-t, . Bourdeix-r et al., Evaluation de la diversité agromorphologique des descendances hybrides de cocotier (Cocos nucifera L.) Nain Jaune Malaisie x Grand Vanuatu en Côte d'Ivoire, International Journal of Biological and Chemical Sciences, vol.7, pp.507-522, 2013.

P. C. Komba, Modélisation de la niche éco-climatique du cocotier (Cocos nucifera L.). MSc thesis (year 1), p.50, 2013.

P. C. Komba, Développement d'une méthode de traitement d'images, 2014.

. S. Kumar-n and P. K. Aggarwal, Climate change and coconut plantations in India: Impacts and potential adaptation gains, Agricultural Systems, vol.117, pp.45-54, 2013.

J. P. Lacombe, Initiation au traitement d'images satellites: travaux dirigés, cahier 2, vol.88, p.pp, 2008.

C. Lelong, C. Lespome, N. Lamanda, . Laine-g, and . Malezieux-e,

. Mougel-b, C. Lelong, and J. M. Nicolas, Classification and information extraction, 2009.

. Pouchin-t, J. Debrie, and . Bourcier-a, L'observation de la végétation de l'Afrique de l'Ouest par télédétection spatiale: l'apport de l'indice de végétation normalisé, 2002.

, Science et changements planétaires/Sécheresse, vol.13, pp.187-94

. M. Robbez-masson-j, Reconnaissance et délimitation de motifs d'organisation spatiale: Application à la cartographie des pédopaysages, vol.161, p.pp, 1994.

. Teina-r, Caractérisation de la cocoteraie des Tuamotu à partir d'images satellitaires à Très Haute Résolution Spatiale, p.180, 2009.

G. Viennois and . Borne-f, Forest vs. savanna dynamics in the contact zones of French Guiana, 2014.

. Vintrou-e, Cartographie et caractérisation des systèmes agricoles au Mali par télédétection à Moyenne résolutions spatiale, Institut des Sciences et d'Industries du Vivant et de l'Environnement (AgroParisTech), p.204, 2012.

. Vincent-l and P. Soille, Watersheds in digital spaces: an efficient algorithm based on immersion simulations, vol.13, pp.583-598, 1991.

. G. Wacker-a and D. A. Langreb, Minimum distance classification in remote sensing, 1972.

, Article publié lors de la douzième édition du colloque international portant sur, LARS Technical Reports, vol.25

A. Domaç, U. Zeydanli, E. Yesilnacar, and M. L. Suzen, Integration and usage of indices, feature components and topography in vegetation classification for regional, pp.204-208, 2004.

J. G. Elong, , 2003.

L. P. Koh, J. Miettinen, S. C. Liew, and J. Ghazoul, , 2011.

J. P. Lacombe, Initiation au traitement d'images satellites: travaux dirigés, cahier2, 2008.

L. Li, J. Dong, S. Njeudeng-tenku, and X. Xiao, Mapping Oil Palm Plantations in, 2015.

, Cameroon Using PALSAR 50-m Orthorectified Mosaïc Images, Remote Sensing, vol.7, issue.2, pp.1206-1224

T. Pouchin, . Debriej, and A. Bourcier, , 2002.

A. Rival and P. Levang, La palme de controverse : Palmier à huile et enjeux de développement, édition Quae, 2013.

A. G. Wacker and D. A. Langreb, , 1972.

. Prune-christobelle-komba-mayossa, . Sébastien-gadal, R. Et, and . Jean-marc, Remote Sensing of Industrial Palm Groves in Cameroon, ASM Science Journal. Akademi Sains Malaysia. 2017, vol.10, issue.1

, ISPRS Journal of Photogrammetry and Remote Sensing. n°100, pp.118-127

. Chitroub, Annalyse des composantes indépendantes d'images multibandes: Faisabilité et perspectives'. Revue de télédétection, vol.7, pp.3-4, 2007.

.. J. Elong, Les plantations villageoises de palmier à huile de la Socapalm dans le bas-Moungo (Cameroun): un projet mal intégré aux préoccupations des paysans, 2003.

, Les Cahiers d'Outre-Mer. Revue de géographie de Bordeaux, vol.56, issue.224, pp.401-418

. Gadal, Reconnaissances multi-niveaux d'unités paysagères par segmentation automatique d'images satellites, Télédétection des informations géographiques, pp.42-54, 2003.

.. P. Komba-mayossa, Développement d'une méthode de traitement d'images satellites pour la cartographie d'agrosystèmes à base de cocotier', 2014.

. Lu, The potential and challenge of remote sensing-based biomass estimation'. International journal of remote sensing, vol.27, pp.1297-1328, 2006.

, Estimating aboveground biomass in forest and oil palm plantation in Sabah. Malaysian Borneo using ALOS PALSAR data, Forest Ecology and Management, vol.262, issue.9, pp.1786-1798, 2011.

. A. Muad and . G. Foody, Super-resolution mapping of lakes from imagery with a coarse spatial and fine temporal resolution, International Journal of Applied Earth Observation and Geoinformation, vol.15, pp.79-91, 2012.

. Priyaa and . Sanjeevi, Super resolution mapping of multispectral and hyperspectral images of peechi reservoir. south india'. image, 2010.

. A-&amp;-levang, Biomass estimations and carbon stock calculations in the oil palm plantations of African derived savannas using IKONOS data, International Journal of Remote Sensing, vol.25, pp.5447-5472, 2004.