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

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

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

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

C. Corbane, S. Lang, K. Pipkins, S. Alleaume, M. Deshayes et al., Remote sensing for mapping natural habitats and their conservation status ??? New opportunities and challenges, Special Issue on Earth observation for habitat mapping and biodiversity monitoring, pp.7-16, 2015.
DOI : 10.1016/j.jag.2014.11.005

W. Turner, S. Spector, N. Gardiner, M. Fladeland, E. Sterling et al., Remote sensing for biodiversity science and conservation, Trends in Ecology & Evolution, vol.18, issue.6, pp.306-314, 2003.
DOI : 10.1016/S0169-5347(03)00070-3

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

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. 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

S. Schmidtlein and J. Sassin, Mapping of continuous floristic gradients in grasslands using hyperspectral imagery, Remote Sensing of Environment, vol.92, issue.1, pp.126-138, 2004.
DOI : 10.1016/j.rse.2004.05.004

H. Feilhauer, U. Faude, and S. Schmidtlein, Combining Isomap ordination and imaging spectroscopy to map continuous floristic gradients in a heterogeneous landscape, Remote Sensing of Environment, vol.115, issue.10, pp.2513-2524, 2011.
DOI : 10.1016/j.rse.2011.05.011

T. Möckel, J. Dalmayne, H. C. Prentice, L. Eklundh, O. Purschke et al., Classification of Grassland Successional Stages Using Airborne Hyperspectral Imagery, Remote Sensing, vol.61, issue.8, p.7732, 2014.
DOI : 10.1016/j.actaastro.2007.01.033

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

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, Remote Sensing of Environment, vol.120, pp.25-36, 2012.
DOI : 10.1016/j.rse.2011.11.026

W. Liu, P. P. Pokharel, and J. C. Principe, The Kernel Least-Mean-Square Algorithm, IEEE Transactions on Signal Processing, vol.56, issue.2, pp.543-554, 2008.
DOI : 10.1109/TSP.2007.907881

L. Gomez-chova, G. Camps-valls, L. Bruzzone, and J. Calpe-maravilla, Mean Map Kernel Methods for Semisupervised Cloud Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.1, pp.207-220, 2010.
DOI : 10.1109/TGRS.2009.2026425

H. Feilhauer, F. Thonfeld, U. Faude, K. S. He, D. Rocchini et al., Assessing floristic composition with multispectral sensors???A comparison based on monotemporal and multiseasonal field spectra, International Journal of Applied Earth Observation and Geoinformation, vol.21, pp.218-229, 2013.
DOI : 10.1016/j.jag.2012.09.002

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

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