A. Eriksson, O. Eriksson, and H. Berglund, Species abundance patterns of plants in Swedish semi-natural pastures, Ecography, vol.65, issue.3, pp.310-317, 1995.
DOI : 10.2307/1939125

C. Critchley, M. Burke, and D. Stevens, Conservation of lowland semi-natural grasslands in the UK: a review of botanical monitoring results from agri-environment schemes, Biological Conservation, vol.115, issue.2, pp.263-278, 2004.
DOI : 10.1016/S0006-3207(03)00146-0

B. P. Werling, T. L. Dickson, R. Isaacs, H. Gaines, C. Gratton et al., Perennial grasslands enhance biodiversity and multiple ecosystem services in bioenergy landscapes, Proceedings of the National Academy of Sciences, pp.1652-1657, 2014.
DOI : 10.1007/s12155-011-9161-3

A. Magurran, Ecological Diversity and Its Measurement, 1988.
DOI : 10.1007/978-94-015-7358-0

C. E. Shannon, A Mathematical Theory of Communication, Bell System Technical Journal, vol.27, issue.3, pp.379-423, 1948.
DOI : 10.1002/j.1538-7305.1948.tb01338.x

D. Rocchini, N. Balkenhol, G. A. Carter, G. M. Foody, T. W. Gillespie et al., Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges, Ecological Informatics, vol.5, issue.5, pp.318-329, 2010.
DOI : 10.1016/j.ecoinf.2010.06.001

A. K. Skidmore, N. Pettorelli, N. C. Coops, G. N. Geller, M. Hansen et al., Environmental science: Agree on biodiversity metrics to track from space, Nature, vol.523, issue.7561, p.403, 2015.
DOI : 10.1038/523403a

D. Rocchini, D. S. Boyd, J. Féret, G. M. Foody, K. S. He et al., Satellite remote sensing to monitor species diversity: potential and pitfalls, Remote Sensing in Ecology and Conservation, vol.72, issue.1, pp.25-36, 2016.
DOI : 10.2307/2259551

URL : https://hal.archives-ouvertes.fr/hal-01330160

N. Pettorelli, W. F. Laurance, T. G. O-'brien, M. Wegmann, H. Nagendra et al., Satellite remote sensing for applied ecologists: opportunities and challenges, Journal of Applied Ecology, vol.115, issue.4, pp.839-848, 2014.
DOI : 10.1016/j.rse.2011.04.032

A. F. Cord, K. A. Brauman, R. Chaplin-kramer, A. Huth, G. Ziv et al., Priorities to Advance Monitoring of Ecosystem Services Using Earth Observation, Trends in Ecology & Evolution, vol.32, issue.6, pp.416-428, 2017.
DOI : 10.1016/j.tree.2017.03.003

J. T. Kerr and M. Ostrovsky, From space to species: ecological applications for remote sensing, Trends in Ecology & Evolution, vol.18, issue.6, pp.299-305, 2003.
DOI : 10.1016/S0169-5347(03)00071-5

W. Gould, REMOTE SENSING OF VEGETATION, PLANT SPECIES RICHNESS, AND REGIONAL BIODIVERSITY HOTSPOTS, Ecological Applications, vol.10, issue.6, pp.1861-1870, 2000.
DOI : 10.1016/S0006-3207(98)00133-5

M. W. Palmer, P. G. Earls, B. W. Hoagland, P. S. White, and T. Wohlgemuth, Quantitative tools for perfecting species lists, Environmetrics, vol.92, issue.2, pp.121-137, 2002.
DOI : 10.1007/BF00317469

J. Wilson, S. J. Fuller, and P. B. Mather, Formation and maintenance of discrete wild rabbit (Oryctolagus cuniculus) population systems in arid Australia: Habitat heterogeneity and management implications, Austral Ecology, vol.3, issue.2, pp.183-191, 2002.
DOI : 10.1071/CWR9650001

J. Tews, U. Brose, V. Grimm, K. Tielbörger, M. C. Wichmann et al., Animal species diversity driven by habitat heterogeneity/diversity: the importance of keystone structures, Journal of Biogeography, vol.25, issue.1, pp.79-92, 2004.
DOI : 10.1093/ee/4.5.719

J. Oldeland, D. Wesuls, D. Rocchini, M. Schmidt, and N. Jürgens, Does using species abundance data improve estimates of species diversity from remotely sensed spectral heterogeneity?, Ecological Indicators, vol.10, issue.2, pp.390-396, 2010.
DOI : 10.1016/j.ecolind.2009.07.012

T. Möckel, J. Dalmayne, B. C. Schmid, H. C. Prentice, and K. Hall, Airborne Hyperspectral Data Predict Fine-Scale Plant Species Diversity in Grazed Dry Grasslands, Remote Sensing, vol.52, issue.2, 2016.
DOI : 10.5194/bg-12-163-2015

B. O. Oindo and A. K. Skidmore, Interannual variability of NDVI and species richness in Kenya, International Journal of Remote Sensing, vol.12, issue.2, pp.285-298, 2002.
DOI : 10.1080/01431169108929726

D. H. Fairbanks and K. C. Mcgwire, Patterns of floristic richness in vegetation communities of California: regional scale analysis with multi-temporal NDVI, Global Ecology and Biogeography, vol.84, issue.3, pp.221-235, 2004.
DOI : 10.1146/annurev.ecolsys.30.1.257

D. Rocchini, Effects of spatial and spectral resolution in estimating ecosystem ??-diversity by satellite imagery, Remote Sensing of Environment, vol.111, issue.4, pp.423-434, 2007.
DOI : 10.1016/j.rse.2007.03.018

J. Féret and G. P. Asner, Mapping tropical forest canopy diversity using high-fidelity imaging spectroscopy, Ecological Applications, vol.24, issue.6, pp.1289-1296, 2014.
DOI : 10.2307/1943563

M. Drusch, U. D. Bello, S. Carlier, O. Colin, V. Fernandez et al., Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services, The Sentinel Missions -New Opportunities for Science, pp.25-36, 2012.
DOI : 10.1016/j.rse.2011.11.026

DOI : 10.2307/1936759

S. Sakai, Phenological diversity in tropical forests, Population Ecology, vol.43, issue.1, pp.77-86, 2001.
DOI : 10.1007/PL00012018

J. Ryschawy, N. Choisis, J. P. Choisis, A. Joannon, and A. Gibon, Mixed crop-livestock systems: an economic and environmental-friendly way of farming?, animal, vol.129, issue.10, pp.1722-1730, 2012.
DOI : 10.1016/j.agsy.2004.03.006

URL : https://hal.archives-ouvertes.fr/hal-01210026

R. Carrié, E. Andrieu, S. A. Cunningham, P. E. Lentini, M. Loreau et al., Relationships among ecological traits of wild bee communities along gradients of habitat amount and fragmentation, Ecography, vol.143, issue.1, pp.85-97, 2017.
DOI : 10.1016/j.biocon.2009.12.003

O. Hagolle, M. Huc, D. Villa-pascual, and G. Dedieu, A multi-temporal method for cloud detection, applied to FORMOSAT-2, VEN??S, LANDSAT and SENTINEL-2 images, Remote Sensing of Environment, vol.114, issue.8, pp.1747-1755, 2010.
DOI : 10.1016/j.rse.2010.03.002

P. H. Eilers, A Perfect Smoother, Analytical Chemistry, vol.75, issue.14, pp.3631-3636, 2003.
DOI : 10.1021/ac034173t

C. Atzberger and P. H. Eilers, Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements, International Journal of Remote Sensing, vol.53, issue.13, pp.3689-3709, 2011.
DOI : 10.1029/2000JD000115

J. Braun-blanquet, G. Fuller, and H. Conard, Plant Sociology: The Study of Plant Communities : Authorized English Translation of Pflanzensoziologie, McGraw-Hill publications in the Botanical Sciences, 1932.

L. Parsons, E. Haque, and H. Liu, Subspace clustering for high dimensional data, ACM SIGKDD Explorations Newsletter, vol.6, issue.1, pp.90-105, 2004.
DOI : 10.1145/1007730.1007731

C. Bouveyron, S. Girard, and C. Schmid, High-dimensional data clustering, Computational Statistics & Data Analysis, vol.52, issue.1, pp.502-519, 2007.
DOI : 10.1016/j.csda.2007.02.009

URL : https://hal.archives-ouvertes.fr/inria-00548573

A. Lagrange, M. Fauvel, and M. Grizonnet, Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images, IEEE Transactions on Computational Imaging, vol.3, issue.2, pp.230-242, 2017.
DOI : 10.1109/TCI.2017.2666551

URL : https://hal.archives-ouvertes.fr/hal-01382500

C. Bouveyron, S. Girard, and C. Schmid, High-Dimensional Discriminant Analysis, Communications in Statistics - Theory and Methods, vol.1, issue.14, pp.2607-2623, 2007.
DOI : 10.1214/aos/1176344136

URL : https://hal.archives-ouvertes.fr/inria-00548516

S. Girard and J. Saracco, Supervised and Unsupervised Classification Using Mixture Models, EAS Publications Series, pp.69-90, 2016.
DOI : 10.1051/eas/1677005

URL : https://hal.archives-ouvertes.fr/hal-01417514

M. C. Neyrinck, I. Szapudi, and A. S. Szalay, REJUVENATING THE MATTER POWER SPECTRUM: RESTORING INFORMATION WITH A LOGARITHMIC DENSITY MAPPING, The Astrophysical Journal, vol.698, issue.2, p.90, 2009.
DOI : 10.1088/0004-637X/698/2/L90

K. Hall, T. Reitalu, M. T. Sykes, and H. C. Prentice, Spectral heterogeneity of QuickBird satellite data is related to fine-scale plant species spatial turnover in semi-natural grasslands, Applied Vegetation Science, vol.29, issue.1, pp.145-157, 2012.
DOI : 10.1080/01431160701408378

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

C. Biernacki, G. Celeux, and G. Govaert, Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2000.
DOI : 10.1109/34.865189

J. C. Price, How unique are spectral signatures?, Remote Sensing of Environment, vol.49, issue.3, pp.181-186, 1994.
DOI : 10.1016/0034-4257(94)90013-2

H. Nagendra, Using remote sensing to assess biodiversity, International Journal of Remote Sensing, vol.22, issue.12, pp.2377-2400, 2001.
DOI : 10.1080/01431160117096

D. Moog, P. Poschlod, S. Kahmen, and K. Schreiber, Comparison of species composition between different grassland management treatments after 25 years, Applied Vegetation Science, vol.5, issue.1, pp.99-106, 2002.
DOI : 10.1007/978-94-009-0343-2_26

E. Schäfer, J. Heiskanen, V. Heikinheimo, and P. Pellikka, Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data, Ecological Indicators, vol.64, pp.49-58, 2016.
DOI : 10.1016/j.ecolind.2015.12.026

E. E. Maeda, J. Heiskanen, K. W. Thijs, and P. K. Pellikka, Season-dependence of remote sensing indicators of tree species diversity, Remote Sensing Letters, vol.190, issue.5, pp.404-412, 2014.
DOI : 10.1016/j.rse.2011.10.028

M. Pärtel and M. Zobel, Small-scale plant species richness in calcareous grasslands determined by the species pool, community age and shoot density, Ecography, vol.12, issue.2, pp.153-159, 1999.
DOI : 10.1016/S0169-5347(97)01096-3

H. H. Bruun, Patterns of species richness in dry grassland patches in an agricultural landscape, Ecography, vol.88, issue.6, pp.641-650, 2000.
DOI : 10.1007/BF00032600

D. Franzén and O. Eriksson, Small-scale patterns of species richness in Swedish semi-natural grasslands: the effects of community species pools, Ecography, vol.12, issue.5, pp.505-510, 2001.
DOI : 10.1007/BF02883142

J. R. Bray and J. T. Curtis, An Ordination of the Upland Forest Communities of Southern Wisconsin, Ecological Monographs, vol.27, issue.4, pp.325-349, 1957.
DOI : 10.2307/1942268

S. L. Ustin and J. A. Gamon, Remote sensing of plant functional types, New Phytologist, vol.36, issue.D24, pp.795-816, 2010.
DOI : 10.1029/2009GL038906

L. Homolová, Z. Malenovský, J. G. Clevers, G. García-santos, and M. E. Schaepman, Review of optical-based remote sensing for plant trait mapping, Ecological Complexity, vol.15, pp.1-16, 2013.
DOI : 10.1016/j.ecocom.2013.06.003

W. Jetz, J. Cavender-bares, R. Pavlick, D. Schimel, F. W. Davis et al., Monitoring plant functional diversity from space, Nature plants, vol.2, issue.3, 2016.

O. J. Martínez, A. K. Fremier, S. Günter, Z. R. Bendaña, L. Vierling et al., Scaling up functional traits for ecosystem services with remote sensing: concepts and methods, Ecology and Evolution, vol.113, issue.13, pp.4359-4371, 2016.
DOI : 10.1016/j.rse.2009.03.006