151 to 160 of 659 Results
31 oct. 2022 -
Map of land cover for West Africa, adapted from ESA WorldCover 2021 for use in SARRA-O crop model
Plain Text - 304 B -
MD5: 6eb57ff2433a22b40f7224ca75d3f0e9
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31 oct. 2022 -
Map of land cover for West Africa, adapted from ESA WorldCover 2021 for use in SARRA-O crop model
TIFF Image - 800,6 KB -
MD5: 81679b49e6df8cb9ae7fa98d86e72b00
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31 oct. 2022 -
Map of soil texture class (USDA system) for Africa at 0-20cm depth, adapted from iSDAsoil for use in SARRA-O crop model
Plain Text - 419 B -
MD5: 8b84a7ba2b960cb4fb730a26ed3a6b13
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31 oct. 2022 -
Map of soil texture class (USDA system) for Africa at 0-20cm depth, adapted from iSDAsoil for use in SARRA-O crop model
TIFF Image - 17,4 MB -
MD5: a4ae5e7123259d3cb269d23cb086f264
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26 oct. 2022 -
Jeu de données BANABIO : Rendement agronomique et croissance de bananiers Cavendish en agricutlure biologique et conventionnelle
Tabular Data - 33,1 KB - 2 Variables, 1728 Observations - UNF:6:6y+tIrs0b94m120ZuBrPDA==
Definition of the variables of the table Suivi_FloRec_Cyc1 |
26 oct. 2022 -
Jeu de données BANABIO : Rendement agronomique et croissance de bananiers Cavendish en agricutlure biologique et conventionnelle
Adobe PDF - 2,7 MB -
MD5: 44323217dc4175ec98b8aa865bbc8366
Map showing the disposition of the BANABIO experimental plots on the site of the Rivière Lézarde experimental station (Saint Joseph, Martinique) |
26 oct. 2022 -
Jeu de données BANABIO : Rendement agronomique et croissance de bananiers Cavendish en agricutlure biologique et conventionnelle
Tabular Data - 11,9 KB - 28 Variables, 90 Observations - UNF:6:lD1mteTwJXn2OzO0WdFCoA==
table with 22 agronomic variables collected at the individual level on banana plants grown under 3 different cropping systems. |
25 oct. 2022 -
Simulated future land cover maps according to different change scenarios, Nan Province, Thailand
MPEG-4 Video - 903,2 KB -
MD5: 5bebebf9ff43431a09f1a4c4aaff4276
Video (mp4 format) to visualize land cover changes, 2016-2030, according to the "trend" scenario |
25 oct. 2022 -
Simulated future land cover maps according to different change scenarios, Nan Province, Thailand
R Syntax - 1,5 KB -
MD5: 9b8dec0dcf6106fd91a3ad52ebade533
R script to compute confusion matrices |
25 oct. 2022 -
Simulated future land cover maps according to different change scenarios, Nan Province, Thailand
MPEG-4 Video - 758,8 KB -
MD5: 8b1238ced31ba5c1ba53f76188830d18
Video (mp4 format) to visualize land cover changes, 2016-2030, according to the "conservation" scenario |