A. Eriksson, O. Eriksson, and H. Berglund, Species Abundance Patterns of Plants in Swedish Semi-Natural 581

S. A. Cousins and O. Eriksson, The influence of management history and habitat on plant species richness in a 583 rural hemiboreal landscape, Sweden, Landscape Ecology, vol.17, issue.6, pp.517-529, 2002.
DOI : 10.1023/A:1021400513256

C. Gardi, M. Tomaselli, V. Parisi, A. Petraglia, and C. Santini, Soil quality indicators and biodiversity in northern Italian permanent grasslands, European Journal of Soil Biology, vol.38, issue.1, pp.103-110, 2002.
DOI : 10.1016/S1164-5563(01)01111-6

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

J. K. Wilson and D. A. Landis, Perennial grasslands enhance biodiversity and multiple ecosystem services in 591 bioenergy landscapes, Proceedings of the National Academy of Sciences 2014, pp.1652-1657

G. Austrheim and E. G. Olsson, How does continuity in grassland management after ploughing affect plant 593 community patterns? Plant Ecology, pp.59-74, 1999.

A. Norderhaug, M. Ihse, and O. Pedersen, Biotope patterns and abundance of meadow plant species in a 595 Norwegian rural landscape, Landscape Ecology, vol.15, issue.3, pp.201-218, 2000.
DOI : 10.1023/A:1008141400166

R. Waldhardt and A. Otte, Indicators of plant species and community diversity in grasslands, Agriculture, Ecosystems & Environment, vol.98, issue.1-3, p.597
DOI : 10.1016/S0167-8809(03)00094-X

M. Hansson and H. Fogelfors, Management of a semi-natural grassland; results from a 15-year-old experiment in southern Sweden, Journal of Vegetation Science, vol.12, issue.1, pp.31-38, 2000.
DOI : 10.2307/3236772

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 : 10.1111/j.1654-109X.2002.tb00539.x

H. Zechmeister, I. Schmitzberger, B. Steurer, J. Peterseil, and T. Wrbka, The influence of land-use practices and economics on plant species richness in meadows, Biological Conservation, vol.114, issue.2, pp.165-177, 2003.
DOI : 10.1016/S0006-3207(03)00020-X

S. Plantureux, A. Peeters, and D. Mccracken, Biodiversity in intensive grasslands: Effect of management, 605 improvement and challenges, Agronomy Research, vol.3, pp.153-164, 2005.

S. Muller, Appropriate agricultural management practices required to ensure conservation and biodiversity 607 of environmentally sensitive grassland sites designated under Natura Agriculture, Ecosystems & 608 Environment, pp.261-266, 2000.

N. Pettorelli, Satellite remote sensing to monitor species diversity: potential and pitfalls. Remote Sensing in 611 Ecology and Conservation, pp.25-36, 2016.
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 : 10.1111/1365-2664.12261

A. C. Newton, R. A. Hill, C. Echeverría, D. Golicher, J. M. Rey-benayas et al., Remote 615 sensing and the future of landscape ecology, pp.528-546, 2009.

Y. Gu, B. K. Wylie, and N. B. Bliss, Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River Basin, USA, Ecological Indicators, vol.24, pp.31-36, 2013.
DOI : 10.1016/j.ecolind.2012.05.024

Z. Li, T. Huffman, B. Mcconkey, and L. Townley-smith, Monitoring and modeling spatial and temporal 619 patterns of grassland dynamics using time-series MODIS NDVI with climate and stocking data, pp.232-244

Y. Gu and B. K. Wylie, Developing a 30-m grassland productivity estimation map for central Nebraska using 622 250-m MODIS and 30-m Landsat-8 observations. Remote Sensing of Environment, pp.291-298, 2015.
DOI : 10.1016/j.rse.2015.10.018

Y. He, X. Guo, and J. Wilmshurst, Reflectance measures of grassland biophysical structure, International Journal of Remote Sensing, vol.43, issue.10, pp.2509-2521, 2009.
DOI : 10.1016/S0034-4257(02)00102-5

S. Asam, H. Fabritius, D. Klein, C. Conrad, and S. Dech, Derivation of leaf area index for grassland 30

M. C. Duniway, J. W. Karl, S. Schrader, N. Baquera, and J. Herrick, Rangeland and pasture monitoring: an 652 approach to interpretation of high-resolution imagery focused on observer calibration for repeatability. 653 Environmental Monitoring and Assessment, pp.3789-3804, 2012.

K. White and D. Gowing, Characterization of a Highly Biodiverse Floodplain Meadow Using Hyperspectral 656

T. Hilker, E. Natsagdorj, R. H. Waring, A. Lyapustin, and Y. Wang, Satellite observed widespread decline in Mongolian grasslands largely due to overgrazing, Global Change Biology, vol.122, issue.6, pp.418-428, 2014.
DOI : 10.1111/gcb.12365

R. Cao, J. Chen, M. Shen, and Y. Tang, An improved logistic method for detecting spring vegetation phenology 660 in grasslands from MODIS EVI time-series data Agricultural and Forest Meteorology 2015, pp.9-20

O. Eriksson, S. A. Cousins, and H. H. Bruun, Land-use history and fragmentation of traditionally managed grasslands in Scandinavia, Journal of Vegetation Science, vol.15, issue.5, pp.743-748, 2002.
DOI : 10.1111/j.1654-1103.2002.tb02102.x

I. Ali, F. Cawkwell, E. Dwyer, B. Barrett, and S. Green, Satellite remote sensing of grasslands: from observation to management, Journal of Plant Ecology, vol.9, issue.6, pp.649-671
DOI : 10.1093/jpe/rtw005

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

H. Werff, F. Van-coillie, and D. Tiede, Geographic Object-Based Image Analysis ? Towards a new paradigm, 672 ISPRS Journal of Photogrammetry and Remote Sensing 2014, pp.180-191

I. Poças, M. Cunha, and L. S. Pereira, Dynamics of mountain semi-natural grassland meadows inferred 674 from SPOT-VEGETATION and field spectroradiometer data, International Journal of Remote Sensing, vol.673, issue.675, pp.33-4334, 2012.

A. Halabuk, M. Mojses, M. Halabuk, and S. David, Towards Detection of Cutting in Hay Meadows by Using of NDVI and EVI Time Series, Remote Sensing, vol.4, issue.5, pp.6107-6148, 2015.
DOI : 10.1080/01431160902897858

R. Lucas, A. Rowlands, A. Brown, S. Keyworth, and P. Bunting, Rule-based classification of multi-temporal 679

H. Nagendra, R. Lucas, J. P. Honrado, R. H. Jongman, C. Tarantino et al., Remote 685 sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species 686 diversity, and threats, Ecological Indicators Biodiversity Monitoring, vol.684, issue.687, pp.45-59, 2013.
DOI : 10.1016/j.ecolind.2012.09.014

K. P. Price, X. Guo, and J. M. Stiles, Optimal Landsat TM band combinations and vegetation indices for 688 discrimination of six grassland types in eastern Kansas, International Journal of Remote Sensing, vol.689, pp.23-5031, 2002.

J. A. Gamon, C. B. Field, D. A. Roberts, S. L. Ustin, and R. Valentini, Functional patterns in an annual grassland during an AVIRIS overflight, Remote Sensing of Environment, vol.44, issue.2-3, pp.239-692, 1993.
DOI : 10.1016/0034-4257(93)90019-T

S. Toon and F. Michael, Remote sensing for mapping natural habitats and their conservation status ? New 695 opportunities and challenges Special Issue on Earth observation for habitat mapping and biodiversity monitoring, International Journal of Applied Earth Observation and Geoinformation, vol.2015, issue.697, pp.7-16

M. A. Wulder, R. J. Hall, N. C. Coops, and S. E. Franklin, High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization, BioScience, vol.54, issue.6, pp.511-521, 2004.
DOI : 10.1641/0006-3568(2004)054[0511:HSRRSD]2.0.CO;2

O. Buck, V. E. Millán, A. Klink, and K. Pakzad, Using information layers for mapping grassland habitat 700 distribution at local to regional scales Special Issue on Earth observation for habitat mapping and biodiversity monitoring, International Journal of Applied Earth Observation and Geoinformation, vol.701, issue.702, pp.83-89

J. Franke, V. Keuck, and F. Siegert, Assessment of grassland use intensity by remote sensing to support conservation schemes, Journal for Nature Conservation, vol.20, issue.3, pp.125-134, 2012.
DOI : 10.1016/j.jnc.2012.02.001

P. Dusseux, F. Vertès, T. Corpetti, S. Corgne, and L. Hubert-moy, Agricultural practices in grasslands detected by spatial remote sensing, Environmental Monitoring and Assessment, vol.29, issue.8, pp.8249-8265, 2014.
DOI : 10.1007/s10661-014-4001-5

URL : https://hal.archives-ouvertes.fr/hal-01102955

C. Schuster, T. Schmidt, C. Conrad, B. Kleinschmit, and M. Förster, Grassland habitat mapping by 707 intra-annual time series analysis ? Comparison of RapidEye and TerraSAR-X satellite data, International, vol.708

A. Psomas, M. Kneubuhler, S. Huber, K. Itten, and N. E. Zimmermann, Hyperspectral remote sensing for estimating aboveground biomass and for exploring species richness patterns of grassland habitats, International Journal of Remote Sensing, vol.77, issue.24, pp.9007-9031, 2011.
DOI : 10.1016/j.rse.2003.05.001

M. J. Hill, Vegetation index suites as indicators of vegetation state in grassland and savanna: An analysis 713 with simulated SENTINEL-2 data for a North American transect. Remote Sensing of Environment, pp.137-94, 2013.

A. S. Laliberte, E. L. Fredrickson, and A. Rango, Combining decision trees with hierarchical object-oriented 720 image analysis for mapping arid rangelands Photogrammetric engineering & Remote sensing, pp.73-197, 2007.
DOI : 10.14358/pers.73.2.197

J. C. Brenner, Z. Christman, and J. Rogan, Segmentation of Landsat Thematic Mapper imagery improves 723 buffelgrass (Pennisetum ciliare) pasture mapping in the Sonoran Desert of Mexico, Applied Geography, vol.724, pp.34-569, 2012.

S. Stenzel, F. E. Fassnacht, B. Mack, and S. Schmidtlein, Identification of high nature value grassland with remote sensing and minimal field data, Ecological Indicators, vol.74, pp.28-38, 2017.
DOI : 10.1016/j.ecolind.2016.11.005

J. Evans and R. Geerken, Classifying rangeland vegetation type and coverage using a Fourier component 728 based similarity measure. Remote Sensing of Environment, pp.1-8, 2006.

T. Esch, A. Metz, M. Marconcini, and M. Keil, Combined use of multi-seasonal high and medium resolution satellite imagery for parcel-related mapping of cropland and grassland, International Journal of Applied Earth Observation and Geoinformation, vol.28, pp.230-237, 2014.
DOI : 10.1016/j.jag.2013.12.007

D. C. Duro, S. E. Franklin, and M. G. Dubé, A comparison of pixel-based and object-based image analysis with 733 selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG 734 imagery. Remote Sensing of Environment, pp.259-272, 2012.

M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, Advances in spectral-spatial 739 classification of hyperspectral images, Proceedings of the IEEE 2013, pp.652-675

O. Hagolle, M. Huc, D. Villa-pascual, and G. Dedieu, A multi-temporal method for cloud detection, applied 741 to FORMOSAT-2, VENuS, LANDSAT and SENTINEL-2 images. Remote Sensing of Environment, pp.114-1747, 2010.

S. Kullback, Letter to the Editor: The Kullback-Leibler distance. The American Statistician, pp.340-341, 1987.

J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis: An Introduction

N. A. Mehta and A. G. Gray, Generative and Latent Mean Map Kernels, 2010.

K. Muandet, K. Fukumizu, F. Dinuzzo, and B. Schölkopf, Learning from distributions via support measure 751 machines Advances in Neural Information Processing Systems 25, pp.10-18, 2012.

A. Tarantola, Inverse Problem Theory and Methods for Model Parameter Estimation, p.753
DOI : 10.1137/1.9780898717921

P. Philadelphia, . Usa, S. Girard, and D. Sheeren, High dimensional Kullback-Leibler divergence for 755 grassland management practices classification from high resolution satellite image time series, 2005.

O. Ledoit and M. Wolf, A well-conditioned estimator for large-dimensional covariance matrices, Journal of Multivariate Analysis, vol.88, issue.2, p.758
DOI : 10.1016/S0047-259X(03)00096-4

. Scikit-learn, Machine Learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.

T. Möckel, J. Dalmayne, H. C. Prentice, L. Eklundh, O. Purschke et al., Classification 763 of Grassland Successional Stages Using Airborne Hyperspectral Imagery. Remote Sensing, 764 c 2017 by the authors. Submitted to Remote Sens. for possible open access publication 765 under the terms and conditions of the Creative Commons Attribution (CC BY) license 766, p.7732, 2014.