Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Ose Kenji"'
Autor:
Agbor Jean-Pierre, Antonio-Nkondjio Christophe, Kamdem Guy C, Ose Kenji, Costantini Carlo, Ayala Diego, Awono-Ambene Parfait, Fontenille Didier, Simard Frédéric
Publikováno v:
Malaria Journal, Vol 8, Iss 1, p 307 (2009)
Abstract Background Suitability of environmental conditions determines a species distribution in space and time. Understanding and modelling the ecological niche of mosquito disease vectors can, therefore, be a powerful predictor of the risk of expos
Externí odkaz:
https://doaj.org/article/f570eceabefc48409e347eacc18b1947
Autor:
Costantini Carlo, Ayala Diego, Guelbeogo Wamdaogo M, Pombi Marco, Some Corentin Y, Bassole Imael HN, Ose Kenji, Fotsing Jean-Marie, Sagnon N'Falé, Fontenille Didier, Besansky Nora J, Simard Frédéric
Publikováno v:
BMC Ecology, Vol 9, Iss 1, p 16 (2009)
Abstract Background Ongoing lineage splitting within the African malaria mosquito Anopheles gambiae is compatible with ecological speciation, the evolution of reproductive isolation by divergent natural selection acting on two populations exploiting
Externí odkaz:
https://doaj.org/article/d46ed022342c4b4282811ef301dd0208
Autor:
Fotsing Jean-Marie, Ose Kenji, Etouna Joachim, Pombi Marco, Kamdem Guy, Ayala Diego, Simard Frédéric, Fontenille Didier, Besansky Nora J, Costantini Carlo
Publikováno v:
BMC Ecology, Vol 9, Iss 1, p 17 (2009)
Abstract Background Speciation among members of the Anopheles gambiae complex is thought to be promoted by disruptive selection and ecological divergence acting on sets of adaptation genes protected from recombination by polymorphic paracentric chrom
Externí odkaz:
https://doaj.org/article/d1ddb5d9314449bd97bb033f238d5bf3
Radar and Optical Satellite Image Time Series (SITS) are sources of information that are commonly employed to monitor earth surfaces for tasks related to ecology, agriculture, mobility, land management planning and land cover monitoring. Many studies
Externí odkaz:
http://arxiv.org/abs/1812.05530
Nowadays, modern Earth Observation systems continuously generate huge amounts of data. A notable example is represented by the Sentinel-2 mission, which provides images at high spatial resolution (up to 10m) with high temporal revisit period (every 5
Externí odkaz:
http://arxiv.org/abs/1809.07589
Nowadays, Earth Observation systems provide a multitude of heterogeneous remote sensing data. How to manage such richness leveraging its complementarity is a crucial chal- lenge in modern remote sensing analysis. Data Fusion techniques deal with this
Externí odkaz:
http://arxiv.org/abs/1806.11452
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing March 2019 149:91-104
Autor:
Khiali, Lynda, Ndiath, Mamoudou, Alleaume, Samuel, Ienco, Dino, Ose, Kenji, Teisseire, Maguelonne
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation February 2019 74:103-119
Autor:
Puissant, Anne, Catry, Thibault, Cresson, Rémi, Dessay, Nadine, Demagistri, Laurent, Gadal, Sébastien, Le Bris, Arnaud, Ose, Kenji, Pillot, Benjamin
Publikováno v:
ESA Living Planet Symposium 2022
ESA Living Planet Symposium 2022, May 2022, Bonn, Germany., 2022
ESA Living Planet Symposium 2022, May 2022, Bonn, Germany., 2022
International audience; The THEIA data and services centre (www.theia-land.fr) is a consortium of 10 French public institutions (CEA, CEREMA, CIRAD, CNES, IGN, INRAE, CNRS, IRD, Météo France, and ONERA) designed to foster the use of Earth Observati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bd4cedecdee631e75d9fe68e990cc08
Publikováno v:
IEEE International Symposium on Geoscience and Remote Sensing IGARSS
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2019, Yokohama, Japan. pp.4881-4884
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2019, Yokohama, Japan. pp.4881-4884
International audience; Radar and Optical Satellite Image Time Series (SITS) are sources of information that are commonly employed to monitor earth surfaces for tasks related to ecology, agriculture, mobility, land management planning and land cover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d1579a6bd6e2cdffdc957f8bd28ff38d
https://hal.inrae.fr/hal-02966810
https://hal.inrae.fr/hal-02966810