A. 1. Bibring, J. P. Langevin, Y. Mustard, J. F. Poulet, F. Arvidson et al., , pp.400-404, 2006.

A. 1. Poulet, F. Gomez, C. Bibring, J. Langevin, Y. Gondet et al., Martian Surface Mineralogy from OMEGA/MEx: Global Mineral Maps, Journal of Geophysical Research-Planet, vol.112, 2007.

A. 2. Gomez, C. Leborgne, H. Allemand, P. Delacourt, C. Ledru et al., N-FindR method versus Independent Component Analysis method for lithological identification in hyperspectral imagery, International Journal of Remote Sensing, vol.28, pp.5315-5338, 2007.
URL : https://hal.archives-ouvertes.fr/insu-00273351

A. 3. Loizeau, D. Mangold, N. Poulet, F. Bibring, J. P. Gendrin et al., Phyllosilicates in the Mawrth Vallis region of Mars, Journal of Geophysical Research-Planet, vol.112, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00376811

A. 4. Jouglet, D. Poulet, F. Milliken, R. E. Mustard, J. F. Bibring et al., Hydration state of the Martian surface as seen by Mars Express OMEGA, Journal of Geophysical, 2007.

P. Lagacherie and C. Gomez, Imaging spectrometry : a new perspective for the Digital Soil Mapping of mediterranean areas, 9th International Meeting on Soils with Mediterranean Type of Climate, pp.22-25, 2007.

C. Gomez and P. Lagacherie, Spatialisation de propriétés du sol par Spectroscopie Visible et Proche Infrarouge, Colloque Sciences du Sol, pp.25-26, 2007.

C. Gomez, P. Lagacherie, and G. Coulouma, Continuum removal versus PLSR method for digital mapping of Clay and Calcium carbonate contents, using laboratory and airborne hyperspectral measurements, European Geosciences Union General Assembly, 2008.

C. Gomez, R. A. Viscarra-rossel, and A. B. Mcbratney, Comparing predictions of soil organic carbon by field vis-NIR spectroscopy and hyperspectral remote sensing, European Geosciences Union General Assembly, 2008.

L. Cécillon, B. Barthès, C. Gomez, D. Ertlen, V. Genot et al., Assessment and monitoring of soil conditions using indexes based on near infrared reflectance (NIR) spectroscopy". EUROSOIL, pp.25-29, 2008.

P. Lagacherie, C. Gomez, *. S. Bacha, *. M. Ben-mechlia, F. Baret et al., Cartographie Numérique des propriétés des sols par imagerie hyperspectrale pour la modélisation environnementale en zone méditerranéenne: le projet DIGISOL-HYMED» Journées d'Etude des sols, 2009.

C. Gomez, P. Lagacherie, and C. Coulouma, Comparaison des méthodes « Continuum Removal » et « Partial Least-Squares Regression » pour la spatialisation du taux d'argile et de carbonate de calcium à partir de mesures de réflectance de laboratoire et aéroportées (400-2500nm), Journées d'Etude des sols, 2009.

P. Lagacherie, C. Gomez, and F. Baret, Cartographie des propriétés des sols par télédétection hyperspectrale en milieu méditerranéen, Rencontre Télédétection INRA, pp.17-18, 2009.

P. Lagacherie, L. Martret, H. Bendaya, *. L. Blanca, Y. Derouiche et al., Vers une cartographie Numérique des Sols en Tunisie, Centre internationaux de recherche agronomique, pp.28-31, 2010.

C. Gomez, *. W. Ouerghemmi, and S. Nacer, Blind Signal Separation approach for soil properties mapping in partially vegetated pixels, Workshop on Quantitative Applications of Soil Spectroscopy, pp.15-16, 2010.

*. W. Ouerghemmi, C. Gomez, and *. S. Nacer, Blind Signal Separation contribution for in soil properties mapping in partially vegetated pixels" 6 th Astronomical Data Analysis Conference, pp.3-6, 2010.

P. Lagacherie and C. Gomez, Utilisation de l'imagerie hyperspectrale pour la cartographie numérique des propriétés des sols en zone méditerranéenne, 2010.

*. W. Ouerghemmi, C. Gomez, and *. S. Nacer, Adaptation du concept de séparation aveugle de sources pour la cartographie de propriétés de sol sur des surfaces partiellement végétalisées, pp.23-25, 2010.

C. Gomez and P. Lagacherie, Utilisation de l'imagerie hyperspectrale pour la cartographie numérique des propriétés des sols en zone méditerranéenne, 2010.

, Novembre, 2010.

C. Gomez, P. Lagacherie, and G. Coulouma, « Utilisation de l'imagerie hyperspectrale pour la cartographie numérique des propriétés des sols en zone méditerranéenne, Colloque d'inauguration de la Société Française de Télédétection Hyperspectrale (SFTH), 7 & 8 avril 2011-Université, 2011.

P. Lagacherie, C. Gomez, *. S. Bacha, R. Ciampalini, and *. H. Hamrouni, A proof-of-concept of GlobalsoilMap.net in Tunisia: First advances and perspectives, Annual meeting of the GlobalSoilmap.net consortium, 2011.

C. Gomez, *. W. Ouerghemmi, *. S. Naceur, and P. Lagacherie, Applying Blind Source Separation on hyperspectral data for clay content estimation over partially vegetated surfaces". Pedometrics, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01936556

P. Lagacherie, C. Gomez, and G. Coulouma, Can hyperspectral images help us to gain insight into the real spatial structures of soil properties?: some learnings from a case study in southern France". Pedometrics, 2011.

P. Monestiez, E. Walker, C. Gomez, and P. Lagacherie, Multivariate geostatistical model to map soil properties at a region scale from airborne hyperspectral imagery and scattered soil field surveys: dealing with large dimensions, Spatial Data Methods for Environmental and Ecological Processes2nd Edition-Foggia and Gargano (FG), 2011.

C. Gomez, P. Lagacherie, and *. S. Bacha, Spatialisation de propriétés de sols par données aéroportées hyperspectrales sur le bassin versant du Lebna (300km², Cap Bon, Tunisie) ». Journées d'Etude des sols, 2012.

P. Lagacherie, C. Gomez, *. S. Bacha, R. Ciampalini, *. H. Hamrouni et al., Digital soil mapping from legacy data and hyperspectral imagery in CapBon (Tunisia) First results and perspectives, Global Soil Partnership Workshop, pp.20-23, 2012.

C. Gomez, P. Lagacherie, and *. S. Bacha, Using an Vis-NIR hyperspectral image to map topsoil properties over bare soil surfaces in the Cap Bon region, 2012.

, th Global Workshop on Digital Soil Mapping, pp.10-13, 2012.

R. Ciampalini, P. Lagacherie, P. Monestiez, E. Walker, and C. Gomez, Cokriging of soil properties with Vis-NIR hyperspectral covariates in the Cap Bon region (Tunisia)". 5 th Global Workshop on Digital Soil Mapping, pp.10-13, 2012.

C. Gomez, P. Lagacherie, and *. S. Bacha, Using a Vis-NIR hyperspectral image to map topsoil properties over bare soil surfaces in the Cap Bon region, 2012.

, European Geosciences Union General Assembly, pp.22-27, 2012.

C. Gomez, *. W. Ouerghemmi, P. Lagacherie, and *. N. Saber, Spatialisation du taux d'Argile sur surfaces semi-végétalisées, 2012.

C. Gomez, *. S. Bacha, R. Ciampalini, G. Coulouma, *. M. Hamrouni et al., « Cartographie de propriétés de sol par imagerie Hyperspectrale Vis-PIR, 2014.

M. Nouri, C. Gomez, N. Gorretta, and J. M. Roger, Prediction of soil clay content on an airborne hyperspectral image by transferring the calibration models constructed in the laboratory, IGARSS, 2015.

C. Gomez, A. Gholizadeh, L. Bor?vka, and P. Lagacherie, Using legacy soil data for standardizing predictions of topsoil clay content obtained from VNIR/SWIR hyperspectral airborne images, PEDOMETRICS 2015, pp.14-18, 2015.

C. Gomez, A. Gholizadeh, L. Bor?vka, and P. Lagacherie, Using legacy soil data for standardizing predictions of topsoil clay content obtained from VNIR/SWIR hyperspectral airborne images, pp.1-02, 2015.

*. W. Ouerghemmi, C. Gomez, *. S. Nacer, and P. Lagacherie, Using legacy soil data for standardizing predictions of topsoil clay content obtained from VNIR/SWIR hyperspectral airborne images, pp.1-02, 2015.

M. Nouri, C. Gomez, N. Gorretta, and J. M. Roger, « La prédiction du taux d'argile du sol sur une image hyperspectrale aéroportée par transfert des modèles d, p.3, 2015.

C. Gomez, K. Adeline, *. S. Bacha, B. Driessen, P. Lagacherie et al., Impact of the spectral resolution of VNIR/SWIR imaging sensors on clay content prediction, pp.11-13, 2016.

M. J. Lefevre-fonollosa, X. Briottet, J. P. Gastellu-etchegorry, C. Weber, J. B. Feret et al., Preparing the future: the HYPXIM Mission, 2016.

P. Lagacherie, C. Gomez, *. S. Bacha, *. M. Ben-mechlia, F. Baret et al., Digital Soil Mapping by hyperspectral Imagery for Environmental modelling in Mediterranean regions : the DIGISOL_HYMED project, pp.27-28, 2009.

V. Carrère, X. Briottet, S. Jacquemoud, R. Marion, A. Bourguignon et al., The French proposal for a high spatial resolution Hyperspectral mission, 2014.

, EGU General Assembly, 2014.

C. Gomez, A. Drost, and J. M. Roger, « Analyse des incertitudes associées aux prédictions de la teneur en argile obtenues par imagerie hyperspectrale Vis-PIR aéroportée (0.4-2.5 µm) ». 3ème colloque scientifique SFPT-GH, 15 et 16 mai, 2014.

C. Gomez, F. Jacob, *. I. Mekki, J. Molénat, *. R. Zitouna-chebbi et al., Characterization of landscape physical properties and biophysical processes for hydrological cycle over the Cap Bon region (Tunisia, 2015.

D. Feurer, C. Gomez, J. Bailly, G. Coulouma, P. Lagacherie et al., Advances in remote sensing of cultivated landscapes at LISAH. Les technologies de l'observation de la Terre pour l'agriculture et les risques naturels, Agropolis International, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01620081

C. Gomez, C. Delacourt, P. Allemand, and P. Ledru, Potentiels et Limitations de la télédétection pour la cartographie géologique en milieu semi aride, 2003.

B. and O. ,

C. Gomez, C. Delacourt, P. Allemand, and P. Ledru, Potentials and limitations of remote sensing dataset for the geological mapping in arid climate". Geological Survey of Namibia, 2004.

C. Gomez, C. Delacourt, P. Allemand, and P. Ledru, Utilisation combinée de données de télédétection multi source : Etude des potentiels en cartographie géologique et perspectives en Sciences de l'Eau, 2005.

. Montpellier, , 2005.

C. Gomez, C. Delacourt, P. Allemand, and P. Ledru, Utilisation combinée de données de télédétection multi source : Etude des potentiels en cartographie géologique, 2005.

C. Gomez, L. Borgne, H. Delacourt, C. Allemand, and P. , Extraction d'information lithologique par Analyse en Composantes Indépendantes, 2006.

. Laboratoire-de-géodynamique and . Planétologie, , 2006.

C. Gomez, Cartographie Numérique des sols par Imagerie hyperspectrale Visible-Proche Infrarouge (VIS-PIR). UMR ITAP, 2013.

P. Lagacherie and C. Gomez, Utilisation de la télédétection Vis-PIR (4002500nm) hyperspectrale pour cartographier des propriétés des sols, Séminaire de Télédétection INRA, pp.17-19, 2013.

C. Gomez, Cartographie Numérique des sols par Imagerie hyperspectrale Visible-Proche Infrarouge (0.4-2.5µm), en région Méditerranéenne, 2015.

J. P. Ackerson, J. A. Demattê, and C. L. Morgan, Predicting clay content on fieldmoist intact tropical soils using a dried, ground VisNIR library with external parameter orthogonalization, Geoderma, pp.196-204, 2015.

B. Ans, J. Hérault, and C. Jutten, Adaptive neural architectures: Detection of primitives, Proceedings of COGNITIVA'85, pp.593-597, 1985.

D. Arrouays, C. Jolivet, L. Boulonne, G. Bodineau, N. Saby et al., A new initiative in France: a multi-institutional soil quality monitoring network, vol.88, pp.93-105, 2002.

H. Bartholomeus, L. Kooistra, A. Stevens, M. Van-leeuwen, B. Van-wesemael et al., Soil organic carbon mapping of partially vegetated agricultural fields with imaging spectroscopy, International Journal of Applied Earth Observation and Geoinformation, vol.13, issue.1, pp.81-88, 2010.

O. Baume, J. O. Skã¸ien, G. B. Heuvelink, and E. J. Pebesma, A geostatistical approach to data harmonization-application to radioactivity exposure data, International Journal of Applied Earth Observation and Geoinformation, vol.13, issue.3, pp.409-419, 2011.

A. Bayer, M. Bachmann, A. Müller, and H. Kaufmann, A Comparison of FeatureBased MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem, Applied and Environmental Soil Science, 2012.

J. Bayliss, J. A. Gualtieri, and R. F. Cromp, Analysing hyperspectral data with independent component analysis, Applied Image and Pattern Recognition Workshop, vol.3240, pp.133-143, 1997.

H. Bellinaso, J. A. Dematte, and S. A. Romeiro, Soil Spectral Library and Its Use in Soil Classification, Revista Brasileira de Ciencia do Solo, vol.34, issue.3, pp.861-870, 2010.

E. Ben-dor and A. Banin, Near infrared analysis (NIRA) as a rapid method to simultaneously evaluate several soil properties, Soil Science Society of American Journal, vol.59, pp.364-372, 1995.

E. Ben-dor and A. Banin, Near infrared analysis (NIRA) as a simultaneously method to evaluate spectral featureless constituents in soils, Soil Science, vol.159, pp.259-269, 1995.

E. Ben-dor, K. Patkin, A. Banin, and A. Karnieli, Mapping of several soil properties using DAIS-7915 hyperspectral scanner data-a case study over clayey soils in Israel, International Journal of Remote Sensing, vol.23, issue.6, pp.1043-1062, 2002.

E. Ben-dor, N. Goldlshleger, Y. Benyamini, M. Agassi, and D. G. Blumberg, The Spectral Reflectance Properties of Soil Structural Crusts in the 1.2-to 2.5-µm Spectral Region, vol.113, pp.38-55, 2003.

E. Ben-dor, A. Kafri, and G. Varacalli, SHALOM: An Italian-Israeli Hyperspectral orbital Mission-Update. International Geoscience and Remote Sensing Symposium, 2014.

N. Brisson, P. Gate, D. Gouache, G. Charmet, F. X. Oury et al., Why are wheat yields stagnating in Europe? A comprehensive data analysis for France, Field Crops Research, vol.119, pp.201-212, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00964258

J. Bouma, Using soil survey data for quantitative land evaluation, Advances in Soil Science, pp.177-213, 1989.

E. Bouveresse and D. L. Massart, Improvement of the piecewise direct standardisation procedure for the transfer of NIR spectra for multivariate calibration. Chemometrics and intelligent laboratory systems, vol.32, pp.201-213, 1996.

X. Briottet, R. Marion, V. Carrere, S. Jacquemoud, A. Bourguignon et al., HYPXIM: HYPXIM: a second generation high spatial resolution hyperspectral satellite for dual applications, 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013.

D. J. Brown, Using a globalVNIR soil-spectral library for local soil characterization and landscape modeling in a 2nd-order Uganda watershed, Geoderma, vol.140, issue.4, pp.444-453, 2007.

E. Bussoletti, Space Observations for Agriculture and Food Support, Inter-Agency Meeting on Outer Space Activities: 2012. Thirty-second session, pp.7-9, 2012.

V. Carrere, A. Bourguignon, X. Briottet, M. Chami, S. Chevrel et al., The French Hyperspectral Earth Observation Science/Defense mission HYPXIM-A second generation high spectral and spatial resolution imaging spectrometer, IGARSS, pp.21-26, 2013.

R. N. Clark and T. L. Roush, Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications, Journal of Geophysical Research, vol.89, issue.B7, pp.6329-6340, 1984.

P. Common, Independent component analysis, a new concept ? Signal processing 36, pp.287-314, 1994.

I. Cousin, B. Nicoullaud, D. M. Tetegan, A. Richer-de-forges, D. Arrouays et al., Estimating the Available Water Content of highly heterogeneous soils including stony soils at the regional scale, GlobalSoilMap: Basis of the global soil information system, pp.221-225, 2014.

T. Cudahy, R. Hewson, J. Huntington, M. Quigley, and P. S. Barry, The Performance of the Satellite-Borne HYPERION Hyperspectral VNIR-SWIR Imaging System for Mineral Mapping at Mount Fitton, South Australian, Proceedings IEEE 2001 International Conference on Geoscience and Remote Sensing, 2001.

A. A. Denis, A. Stevens, B. V. Wesemael, T. Udelhoven, and B. Tychon, Soil organic carbon assessment by field and airborne spectrometry in bare croplands: accounting for soil surface roughness, Geoderma, pp.94-102, 2014.

E. Dobos, F. Carré, T. Hengl, H. I. Reuter, and G. Tóth, Digital Soil Mapping as a support to production of functional maps. EUR 22123 EN, p.68, 2006.

M. Drusch, D. Bello, U. Carlier, S. Colin, O. Fernandez et al., Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services, Remote Sensing of Environment, vol.120, pp.25-36, 2012.

E. , , 2011.

R. Escadafal, Soil spectral properties and their relationships with environmental parameters-Examples from arid regions, Imaging Spectrometry-A Tool for Environmental Observations, pp.71-87, 1994.

S. Fabre, A. Leasignoux, and X. Briottet, Estimation of Soil Moisture Content on Spectral Reflectance of Bare Soils in the 0.4-2.5 m Domain, Sensors, pp.1-18, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01096413

P. Falloon and P. Smith, Simulating SOC changes in long-term experiments with RothC and CENTURY: model evaluation for a regional scale application". Soil Use and management, vol.18, pp.101-111, 2002.

T. Fearn, Standardisation and calibration transfer for near infrared instruments: a review, Journal of Near Infrared Spectroscopy, vol.9, issue.4, pp.229-244, 2001.

E. Fernandez-ahumada, J. M. Roger, and B. Palagos, A new formulation to estimate the variance of model prediction. Application to near infrared spectroscopy calibration, Analytica Chimica Acta, vol.721, pp.28-34, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00731299

P. Geladi and K. J. Esbensen, The start and early history of chemometrics: selected interviews. Part 1, Journal of Chemometrics, vol.4, pp.337-354, 1990.

P. Giampaolo, A. Cisbani, V. De-cosmo, C. Galeazzi, D. Labate et al., , 2008.

, Hyperspectral Instruments for Earth Observation. International conference on Space Optics

C. Giardino, M. Bresciani, E. Matta, and V. Brando, Hyperspectral observations of optical properties in lakes in Perspectives of futures satellite sensors-a case study in Italy, Whispers, pp.24-27, 2014.

F. Gogé, R. Joffre, C. Jolivet, I. Ross, and L. Ranjard, Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database. Chemometrics and Intelligent Laboratory Systems 110, pp.168-176, 2012.

A. Gorrab, M. Zribi, N. Baghdadi, L. Chabaane, Z. Hydrology et al., Mapping of bare soil surface parameters from TerraSAR-X radar images over a semi-arid region, Remote Sensing for Agriculture, Ecosystems, and, 2015.

A. Maltese, Proceedings of SPIE, vol.9637, p.96371, 2015.

J. W. Hempel, A. B. Mcbratney, D. Arrouays, N. J. Mckenzie, and A. E. Hartemink, GlobalSoilMap: Basis of the global soil information system, Dominique Arrouays, pp.3-8, 2014.

T. Hengl, G. B. Heuvelink, B. Kempen, J. G. Leenaars, M. G. Walsh et al., Mapping soil properties of Africa at 250 m resolution: Random forests significantly improve current predictions, PLoS One, vol.10, pp.1-26, 2015.

F. Jacob, ALMIRA : adapter les mosaïques paysagères pour mieux gérer la production, les sols et l'eau agricoles. Les dossiers d'Agropolis International Changement climatique : impacts et adaptations, vol.20, p.11, 2015.

T. Jarmer, Spectroscopy and hyperspectral imagery for monitoring summer barley, International journal of remote sensing, vol.34, issue.17, pp.6067-6078, 2013.

J. Jenhaoui, D. Raclot, and J. M. Lamachère, Le parcellaire et l'occupation du sol entre 2004 et 2008 sur le bassin versant de Kamech (Cap Bon, Tunisie), 2008.

J. R. Jensen and D. C. Cowen, Urban/Suburban Infrastructure and Socio-Economic Attributes, Photogrammetric Engineering and Remote Sensing, vol.65, issue.5, pp.611-622, 1999.

C. Jutten and J. Herault, Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture, Signal Processing, vol.24, pp.1-10, 1991.

R. W. Kennard and L. A. Stone, Computer aided design of experiments, Technometrics, vol.11, issue.1, pp.137-148, 1969.

M. Knadel, F. Deng, A. Thomsen, and M. H. Greve, Development of a Danish national Vis-NIR soil spectral library for soil organic carbon determination. Digital Soil Assessments and Beyond, pp.403-408, 2012.

F. A. Kruse, J. Boardman, and J. Huntington, Comparison of Airborne Hyperspectral Data and EO-1 HYPERION for Mineral Mapping, IEEE Transactions on Geoscience and Remote Sensing, issue.6, p.41, 2003.

F. A. Kruse, C. C. Clasen, A. M. Kim, and S. C. Carlisle, Effects of spatial and spectral resolution on remote sensing for disaster response, Proceedings of the IEEE Geoscience and Remote Sensing Symposium, pp.22-27, 2012.

F. A. Kruse and S. Perry, Mineral mapping using simulated Worldview-3 short-waveinfrared imagery, Remote Sensing, vol.5, pp.2688-2703, 2013.

P. Lagacherie and A. B. Mcbratney, « Spatial Soil Information Systems and Spatial Soil Inference Systems: Perspectives for Digital Soil Mapping», Digital Soil Mapping: an Introductory perspective, pp.3-22, 2007.

P. Lagacherie, F. Baret, J. Feret, M. Netto, J. Robbez-masson et al., Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements, Remote Sensing of Environment, vol.112, issue.3, pp.825-835, 2008.

L. Bissonnais, Y. Daroussin, J. Jamagne, M. Lambert, J. et al., Pan-European soil crusting and erodibility assessment from the European Soil Geographical Database using pedotransfer rules, Advances in Environmental Monitoring and Modelling, vol.2, pp.1-15, 2005.

L. Bissonnais, Y. Blavet, D. De-noni, G. Laurent, J. Y. Asseline et al., Erodibility of Mediterranean vineyard soils: relevant soil aggregate stability methods and significant soil variables, European Journal of Soil Science, vol.58, pp.188-195, 2007.

D. D. Lee and H. S. Seung, Algorithms for non-negative matrix factorization, Advances in Neural Information Processing Systems, vol.13, pp.556-562, 2001.

L. Legendre and P. Legendre, Numerical Ecology, pp.39-45, 1998.
URL : https://hal.archives-ouvertes.fr/hal-00530195

J. Leonard and P. Andrieux, Infiltration characteristics of soils in Mediterranean vineyards in Southern France, Catena, vol.32, issue.98, pp.49-55, 1998.

N. Levin, G. J. Kidron, and E. Ben-dor, Surface properties of stabilizing coastal dunes: combining spectral and field analyses, Sedimentology, vol.54, pp.771-788, 2007.

D. B. Lobell and G. P. Asner, Moisture effects on soil reflectance, Soil Science Society of America Journal, vol.66, pp.722-727, 2002.

E. Lopinto and C. Ananasso, The Prisma Hyperspectral Mission, Towards Horizon 2020: Earth Observation and Social Perspectives, pp.3-6, 2013.

R. Lugassi, E. Ben-dor, and G. Eshel, A spectral-based method for reconstructing spatial distributions of soil surface temperature during simulated fire events. Remote Sensing of Environment, vol.114, pp.322-331, 2010.

A. B. Mcbratney, M. Santos, M. L. Minasny, and B. , On digital soil mapping, vol.117, pp.3-52, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01602688

M. Netto, J. S. Bedidi, A. Pouget, M. Cervelle, and B. , Visible spectrometric indices of hematite (Hm) and goethite (Gt) content in lateritic soils: the application of a Thematic Mapper (TM) image for soil-mapping in Brasilia, Brazil, International Journal of Remote Sensing, vol.18, pp.2835-2852, 1997.

M. Netto, J. S. Robbez-masson, J. M. Martins, and E. , Visible-NIR hyperspectral imagery for discriminating soil types in the La Peyne watershed (France), Digital Soil Mapping: an Introductory Perspective, 2006.

R. Mathieu, M. Pouget, B. Cervelle, and R. Escadafal, «Relationships between satellite based radiometric indices simulated using laboratory reflectance data and typic soil color of an arid environment», Remote Sensing of Environment, vol.66, pp.17-28, 1998.

C. Miesch, L. Poutier, V. Achard, X. Briottet, X. Lenot et al., Direct and inverse radiative transfer solutions for visible and near-infrared hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.437, issue.7, pp.1552-1562, 2005.

B. Minasny, A. B. Mcbratney, V. Bellon-maurel, J. Roger, A. Gobrecht et al., Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon, Geoderma, pp.118-124, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00648248

B. P. Mohanty, Soil Hydraulic Property Estimation Using Remote Sensing: A Review, Vadose Zone Journal, p.12, 2013.

R. Moussa, M. Voltz, and P. Andrieux, Effects of the spatial organization of agricultural management on the hydrological behaviour of a farmed catchment during flood events, Hydrological Processes, vol.16, pp.393-412, 2002.

S. Nawar, H. Buddenbaum, and J. Hill, Digital Mapping of Soil Properties Using Multivariate Statistical Analysis and ASTER Data in an Arid Region, Remote Sensing, vol.7, issue.2, pp.1181-1205, 2015.

W. Nijland, E. A. Addink, D. Jong, S. M. Van-der-meer, and F. D. , Optimizing spatial image support for quantitative mapping of natural vegetation, Remote Sensing of Environment, vol.113, pp.771-780, 2009.

Y. Ninomiya, Lithologic Mapping with Multispectral ASTER TIR and SWIR Data, Sensor, Systems, and Next generation Satellites VII, SPIE, vol.5234, pp.180-190, 2004.

M. Nocita, A. Stevens, G. Tóth, B. Van-wesemael, and L. Montanarella, Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach, Soil Biology Biochemisty, vol.68, pp.337-347, 2013.

A. Palacios-orueta, J. E. Pinzón, S. L. Ustin, and D. A. Roberts, Remote Sensing of Soils in the Santa Monica Mountains: II. Hierarchical Foreground and Background Analysis, Remote Sensing of Environment, vol.68, pp.138-151, 1999.

A. F. Rahman, J. A. Gamon, D. A. Sims, and M. Schmidts, Optimum pixel size for hyperspectral studies of ecosystem function in southern California chaparral and grassland. Remote Sensing of Environment, vol.84, pp.192-207, 2003.

D. A. Roberts, D. A. Quattrochi, G. C. Hulley, S. J. Hook, and R. O. Green, Synergies between VSWIR and TIR data for the urban environment: An evaluation of the potential for the Hyperspectral Infrared Imager (HyspIRI) Decadal Survey mission. Remote Sensing of Environment, vol.117, pp.83-101, 2012.

L. Rowan and J. Mars, Lithological Mapping in the Mountain Pass, California Area Using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Data, Remote Sensing of Environment, vol.3, pp.350-366, 2002.

L. Rowan, M. Abrams, and J. Mars, Mapping Hydrothermally Altered Rocks at Cuprite, Nevada, Using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), a New Satellite-Imaging System, Economic Geology and the Bulletin of the Society of Economic Geologists, vol.98, issue.5, pp.1019-1027, 2003.

P. Sanchez, S. Ahamed, F. Carré, A. Hartemink, J. Hempel et al., Digital soil map of the world, Science, vol.325, pp.680-681, 2009.

A. N. Schaaf, P. E. Dennison, G. K. Fryer, K. L. Roth, and D. A. Roberts, Mapping Plant Functional Types at Multiple Spatial Resolutions Using Imaging Spectrometer Data. GIScience and Remote Sensing, vol.48, pp.324-344, 2011.

W. Schwanghart and T. Jarmer, Linking spatial patterns of soil organic carbon to topography-a case study from south-eastern Spain, Geomorphology, vol.126, issue.1, pp.252-263, 2011.

T. Selige, J. Bohner, and U. Schmidhalter, High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures, Geoderma, vol.136, issue.1-2, pp.235-244, 2006.

J. S. Shenk and M. O. Westerhaus, New standardization and calibration procedures for NIRS analytical systems, Crop Science, issue.6, pp.1694-1696, 1991.

K. D. Shepherd and M. G. Walsh, Development of reflectance spectral libraries for characterization of soil properties, Soil Science Society of America Journal, vol.66, issue.3, pp.988-998, 2002.

Y. Shin, B. P. Mohanty, and A. V. Ines, Estimating Effective Soil Hydraulic Properties Using Spatially Distributed Soil Moisture and Evapotranspiration, Vadose Zone Journal, vol.12, issue.3, 2013.

A. Stevens, B. Van-wesemael, G. Vandenschrick, S. Touré, and B. Tychon, Detection of Carbon Stock Change in Agricultural Soils Using Spectroscopic Techniques, Soil Science Society of America journal, vol.70, pp.844-850, 2006.

A. Stevens, B. Van-wesemael, H. Bartholomeus, D. Rosillon, B. Tychon et al., Laboratory, field and airborne spectroscopy for monitoring organic carbon content in agricultural soils, Geoderma, vol.144, issue.1-2, pp.395-404, 2008.

A. Stevens, T. Udelhoven, A. Denis, B. Tychon, R. Lioy et al., Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy, Geoderma, vol.158, pp.32-45, 2010.

T. Stuffler, H. Kaufmann, S. Hofer, K. Förster, G. Schreier et al., The EnMAP hyperspectral imager-An advanced optical payload for future applications in Earth observation programmes, Acta Astronautica, vol.61, pp.115-120, 2007.

M. Tenenhaus, La régression PLS, 1998.

M. Tighe, M. Robles, C. Reid, N. Wilson, B. Briggs et al., Hydrological thresholds of soil surface properties identified using conditional inference tree analysis, Earth Surface Processes and Landforms, vol.37, pp.620-632, 2012.

K. R. Thorp, A. N. French, and A. Rango, Effect of image spatial and spectral characteristics on mapping semi-arid rangeland vegetation using multiple endmember spectral mixture analysis (MESMA). Remote Sensing of Environment, vol.132, pp.120-130, 2013.

L. Tits, B. Somers, W. Saeys, and P. Coppin, Site-Specific Plant Condition Monitoring Through Hyperspectral Alternating Least Squares Unmixing, IEEE Journal of Selected topics in Applied Earth Observations and remote Sensing, vol.7, issue.8, pp.3606-3618, 2014.

G. Toth, A. Jones, and L. Montanarella, LUCAS Topsoil Survey: Methodology, Data and Results. Publications Office of the European Union, p.141, 2013.

B. Tourlière, J. Perrin, P. Leberre, and J. Pasquet, Use of Airborne Gamma-Ray Spectrometry for Kaolin Exploration, Journal of Applied Geophysics, vol.53, issue.2-3, pp.91-102, 2003.

K. Vaysse and P. Lagacherie, Evaluating Digital Soil Mapping approaches for mapping GlobalSoilMap soil properties from legacy data in Languedoc-Roussillon (France), Geoderma Regional, vol.4, pp.20-30, 2015.

R. A. Viscarra-rossel, D. J. Walvoort, A. B. Mcbratney, L. J. Janik, and J. O. Skjemstad, , 2006.

, Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties, Geoderma, vol.131, pp.59-75

R. A. Viscarra-rossel and E. N. Bui, A new detailed map of total phosphorus stocks in Australian soil, Science of The Total Environment, Part B, vol.542, pp.1040-1049, 2015.

H. Wackernagel, Multivariate geostatistics, p.255, 1995.

J. Wilford, P. Bierwirth, and M. Craig, Application of Airborne Gamma-Ray Spectrometry in Soil/Regorith Mapping and Applied Geomorphology, AGSO Journal of Geology and geophysics, vol.17, issue.2, pp.201-216, 1997.

E. M. Winter, N-FINDR: An algorithm for fast autonomous spectral end-member determination in hyperspectral data, Imaging Spectrometry V, vol.3753, pp.266-277, 1999.

R. Zornoza, V. Guerrero, J. Mataix-solera, K. M. Scow, V. Arcenegui et al., Near infrared spectroscopy for determination of various physical, chemical and biochemical properties in Mediterranean soils, Soil Biology and Biochemistry, vol.40, pp.1923-1930, 2008.

M. Zribi, A. Gorrab, and N. Baghdadi, A new soil roughness parameter for the modelling of radar backscattering over bare soil, vol.152, pp.62-73, 2014.

, Tirés à part relatifs au Chapitre II

C. Gomez, P. Lagacherie, and S. Bacha, Using an Vis-NIR hyperspectral image to map topsoil properties over bare soil surfaces in the Cap Bon region (Tunisia), Digital Soil Assessments and Beyond, pp.387-392, 2012.

A. Ouerghemmi, W. Gomez, C. Nacer, S. Lagacherie, and P. , Semi-blind source separation for estimation of clay content over semi-vegetated areas, from VNIR/SWIR hyperspectral airborne data, vol.181, pp.251-263, 2016.

I. Tirés-À-part-relatifs-au-chapitre,

C. Gomez, R. Oltra-carrio, P. Lagacherie, S. Bacha, and X. Briottet, Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery, vol.164, pp.1-15, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01225550

C. Gomez, A. Gholizadeh, L. Bor?vka, and P. Lagacherie, Using legacy data for predicting soil surface clay content from VNIR/SWIR hyperspectral airborne images, Geoderma, vol.276, pp.84-92, 2016.

R. Ciampalini, P. Lagacherie, P. Monestiez, E. Walker, and C. Gomez, Co-kriging of soil properties with Vis-NIR hyperspectral covariates in the Cap Bon region (Tunisia), Digital Soil Assessments and Beyond, pp.393-398, 2012.

P. Lagacherie, A. Ruth, C. Gomez, S. Bacha, G. Coulouma et al., Combining hyperspectral imagery and legacy measured soil profiles to map subsurface soil properties in a Mediterranean area, Geoderma, pp.168-176, 2013.