Pierre Defourny

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The Anopheles dirus complex includes efficient malaria vectors of the Asian forested zone. Studies suggest ecological and biological differences between the species of the complex but variations within species suggest possible environmental influences. Behavioural variation might determine vector capacity and adaptation to changing environment. It is thus(More)
Forest monitoring requires more automated systems to analyse the large amount of remote sensing data. A new method of change detection is proposed for identifying forest land cover change using high spatial resolution satellite images. Combining the advantages of image segmentation, image differencing and stochastic analysis of the multispectral signal,(More)
The Globcover initiative comprises the development and demonstration of a service that in first instance produces a Global land cover map for year 2005/2006. Globcover uses MERIS fine resolution (300m) mode data acquired between mid 2005 and mid 2006 and, for maximum user benefit, the thematic legend is compatible with the UN Land Cover Classification(More)
Policies to reduce emissions from deforestation and forest degradation largely depend on accurate estimates of tropical forest carbon stocks. Here we present the first field-based carbon stock data for the Central Congo Basin in Yangambi, Democratic Republic of Congo. We find an average aboveground carbon stock of 162 ± 20  Mg  C  ha(-1) for intact(More)
The ESA’s Climate Change Initiative is reprocessing and reassessing over 40 years of multisensor satellite records to generate consistent, traceable, long-term datasets of “essential climate variables” for the climate modeling and research communities. DOI: https://doi.org/10.1175/BAMS-D-11-00254.1 Posted at the Zurich Open Repository and Archive,(More)
Methods derived from ecological niche modeling allow to define species distribution based on presence-only data. This is particularly useful to develop models from literature records such as available for the Anopheles dirus complex, a major group of malaria mosquito vectors in Asia. This research defines an innovative modeling design based on presence-only(More)
1 CESBIO-UMR 5126, 18 avenue Edouard Belin, 31401 Toulouse CEDEX 9, France; E-Mails: marcela.arias@cesbio.cnes.fr (M.A.); tardyb@cesbio.cnes.fr (B.T.); olivier.hagolle@cnes.fr (O.H.); silvia.valero@cesbio.cnes.fr (S.V.); morind@cesbio.cnes.fr (D.M.); gerard.dedieu@cesbio.cnes.f (G.D.) 2 Earth and Life Institute, Université Catholique de Louvain, 2 Croix du(More)