111 to 117 of 117 Results
Jan 10, 2020 -
Base de données insulaires mondiale (BIM)
Unknown - 149.3 MB -
MD5: dc80ebb494c0cffb2450946884a4f7ff
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Jan 10, 2020 -
Base de données insulaires mondiale (BIM)
Unknown - 136.2 MB -
MD5: 67a8f4a1825bc0693b5e0e5936278cad
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Jan 10, 2020 -
Base de données insulaires mondiale (BIM)
Unknown - 135.9 MB -
MD5: 071a2adafa9a179aae821cc8ce30178b
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Jan 10, 2020 -
Base de données insulaires mondiale (BIM)
Unknown - 156.7 MB -
MD5: 6bb85b8503d956bdfb323432d1c600d8
Couche de base : géographie, toponymie, planimétrie |
Jan 10, 2020 -
Base de données insulaires mondiale (BIM)
Unknown - 134.5 MB -
MD5: bb2ccd3a3d555e2e0674b01f3054a87f
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Jan 10, 2020 -
Base de données insulaires mondiale (BIM)
Unknown - 136.3 MB -
MD5: 3e63322fbe568525eadb1d6f080cbbd1
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Mar 6, 2019
Christophe, Révillion; Artadji, Attoumane, 2019, "Homisland-IO: a homogeneous land cover over the small islands of the southwest Indian Ocean", https://doi.org/10.5281/zenodo.2585746, Zenodo
This dataset is a landcover product, called Homisland-IO, based on the analysis of high spatial resolution images acquired by the SPOT 5 satellite between December 2012 and July 2014 and produced at the SEAS-OI Station. We used an object-based image analysis method to identify th...This dataset is harvested from DataSuds-geo repository. / Ce jeu de données est moissonné à partir de l'entrepôt DataSuds-geo. |
