, Report version UNCBD COP-13, GOFC-GOLD Land Cover Project Office

R. J. Hijmans, raster: Geographic Data Analysis and Modeling, 2018.

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.

. Ipbes, Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on, Biodiversity and Ecosystem Services. In IPBES. IPBES Secretariat, 2019.

P. Legendre and L. Legendre, Numerical ecology, 1998.
URL : https://hal.archives-ouvertes.fr/hal-00530195

P. Leitão, M. Schwieder, S. Suess, A. Okujeni, L. Galvão et al., Monitoring natural ecosystem and ecological gradients, Perspectives with EnMAP. Remote Sensing, vol.7, pp.13098-13119, 2015.

M. W. Palmer, P. G. Earls, B. W. Hoagland, P. S. White, and T. Wohlgemuth, Quantitative tools for perfecting species lists, Environmetrics, vol.13, pp.121-137, 2002.

N. Pettorelli, M. Wegmann, A. Skidmore, S. Mücher, T. P. Dawson et al., Framing the concept of satellite remote sensing essential biodiversity variables: Challenges and future directions. Remote Sensing in Ecology and Conservation, vol.2, pp.122-131, 2016.

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, pp.318-329, 2010.

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.2, pp.25-36, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02939174

D. Rocchini, A. Chiarucci, and S. A. Loiselle, Testing the spectral variation hypothesis by using satellite multispectral images, Acta Oecologica, vol.26, pp.117-120, 2004.

D. Rocchini, S. Luque, N. Pettorelli, L. Bastin, D. Doktor et al., Measuring ?-diversity by remote sensing: A challenge for biodiversity monitoring, Methods in Ecology and Evolution, vol.9, pp.1787-1798, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02607100

B. Somers, G. P. Asner, R. E. Martin, C. B. Anderson, D. E. Knapp et al., Mesoscale assessment of changes in tropical tree species richness across a bioclimatic gradient in Panama using airborne imaging spectroscopy. Remote Sensing of Environment, vol.167, pp.111-120, 2015.

S. L. Ustin and J. A. Gamon, Remote sensing of plant functional types, New Phytologist, vol.186, pp.795-816, 2010.

G. Vaglio-laurin, J. Chan, Q. Chen, J. A. Lindsell, D. A. Coomes et al., Biodiversity mapping in a tropical West African forest with airborne hyperspectral data, PLoS ONE, vol.9, 2014.

S. Fo-r-m-ati-o-n, Additional supporting information may be found online in the Supporting Information section at the end of the article. How to cite this article: Féret J-B, de Boissieu F. biodivMapR: An R package for ?-and ?-diversity mapping using remotely sensed images, Methods Ecol Evol, vol.00, pp.1-7, 2019.