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Publication Year: 2022

201 to 210 of 794 Results

Map of soil texture class (USDA system) for Africa at 0-20cm depth, adapted from iSDAsoil for use in SARRA-O crop model 31 oct. 2022 - UMR TETIS Lavarenne, Jérémy, 2022, "Map of soil texture class (USDA system) for Africa at 0-20cm depth, adapted from iSDAsoil for use in SARRA-O crop model", https://doi.org/10.18167/DVN1/YSVTS2, CIRAD Dataverse, V1 This raster map is adapted from "iSDAsoil: soil texture class (USDA system) for Africa predicted at 30 m resolution at 0-20 and 20-50 cm depths" v0.13 (doi:10.5281/zenodo.4094616) for use in SARRA-O crop model. It was obtained by first performing raster alignment with the TAMSAT...
dict.txt 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
iSDA_soil_texture_0-20cm_preprocessed_for_SARRA-O.tif 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
Jeu de données BANABIO : Rendement agronomique et croissance de bananiers Cavendish en agricutlure biologique et conventionnelle 26 oct. 2022 - UPR GECO Coulis, Mathieu; Tsoukas, Lucas; Prochasson, Alice; Sauvadet, Marie; Guillermet, Claire, 2022, "Jeu de données BANABIO : Rendement agronomique et croissance de bananiers Cavendish en agricutlure biologique et conventionnelle", https://doi.org/10.18167/DVN1/8JSZIJ, CIRAD Dataverse, V1, UNF:6:HE+HagAjjt8vmYPwUPErSQ== [fileUNF] [FR]Données de croissance et de rendement agronomique de bananiers cavendish cultivés en Martinique dans le cadre du projet BANABIO visant à l' « Evaluation de systèmes de culture innovants de BANane BIOlogique ». Comparaison de 2 itinéraires techniques en agriculture biologique...
DEFINITION_Variables.tab 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
MAP_BANABIO.pdf 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)
Suivi_FloRec_Cyc1.tab 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.
Simulated future land cover maps according to different change scenarios, Nan Province, Thailand 25 oct. 2022 - UMR TETIS Tran, Annelise; Mahuzier, Christophe; Morand, Serge, 2022, "Simulated future land cover maps according to different change scenarios, Nan Province, Thailand", https://doi.org/10.18167/DVN1/BRW2DR, CIRAD Dataverse, V1, UNF:6:GfNBdmtXGehqvuCyHeaxrA== [fileUNF] This dataset holds the results of different simulations of land cover changes over Nan Province, Thailand, up to 2030. ESA global land cover maps (1992-2015) were used as initialization maps (ESA, 2017). A land-cover (LC) change model was constructed from 1992-2015 maps. Three fu...
AsUsual.mp4 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
confusion_matrices.R 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

Map of soil texture class (USDA system) for Africa at 0-20cm depth, adapted from iSDAsoil for use in SARRA-O crop model

31 oct. 2022 - UMR TETIS

Lavarenne, Jérémy, 2022, "Map of soil texture class (USDA system) for Africa at 0-20cm depth, adapted from iSDAsoil for use in SARRA-O crop model", https://doi.org/10.18167/DVN1/YSVTS2, CIRAD Dataverse, V1

This raster map is adapted from "iSDAsoil: soil texture class (USDA system) for Africa predicted at 30 m resolution at 0-20 and 20-50 cm depths" v0.13 (doi:10.5281/zenodo.4094616) for use in SARRA-O crop model. It was obtained by first performing raster alignment with the TAMSAT...

dict.txt

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 -

iSDA_soil_texture_0-20cm_preprocessed_for_SARRA-O.tif

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 -

Jeu de données BANABIO : Rendement agronomique et croissance de bananiers Cavendish en agricutlure biologique et conventionnelle

26 oct. 2022 - UPR GECO

Coulis, Mathieu; Tsoukas, Lucas; Prochasson, Alice; Sauvadet, Marie; Guillermet, Claire, 2022, "Jeu de données BANABIO : Rendement agronomique et croissance de bananiers Cavendish en agricutlure biologique et conventionnelle", https://doi.org/10.18167/DVN1/8JSZIJ, CIRAD Dataverse, V1, UNF:6:HE+HagAjjt8vmYPwUPErSQ== [fileUNF]

[FR]Données de croissance et de rendement agronomique de bananiers cavendish cultivés en Martinique dans le cadre du projet BANABIO visant à l' « Evaluation de systèmes de culture innovants de BANane BIOlogique ». Comparaison de 2 itinéraires techniques en agriculture biologique...

DEFINITION_Variables.tab

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 -

Definition of the variables of the table Suivi_FloRec_Cyc1

MAP_BANABIO.pdf

26 oct. 2022 - Jeu de données BANABIO : Rendement agronomique et croissance de bananiers Cavendish en agricutlure biologique et conventionnelle

Adobe PDF - 2,7 MB -

Map showing the disposition of the BANABIO experimental plots on the site of the Rivière Lézarde experimental station (Saint Joseph, Martinique)

Suivi_FloRec_Cyc1.tab

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 -

table with 22 agronomic variables collected at the individual level on banana plants grown under 3 different cropping systems.

Simulated future land cover maps according to different change scenarios, Nan Province, Thailand

25 oct. 2022 - UMR TETIS

Tran, Annelise; Mahuzier, Christophe; Morand, Serge, 2022, "Simulated future land cover maps according to different change scenarios, Nan Province, Thailand", https://doi.org/10.18167/DVN1/BRW2DR, CIRAD Dataverse, V1, UNF:6:GfNBdmtXGehqvuCyHeaxrA== [fileUNF]

This dataset holds the results of different simulations of land cover changes over Nan Province, Thailand, up to 2030. ESA global land cover maps (1992-2015) were used as initialization maps (ESA, 2017). A land-cover (LC) change model was constructed from 1992-2015 maps. Three fu...

AsUsual.mp4

25 oct. 2022 - Simulated future land cover maps according to different change scenarios, Nan Province, Thailand

MPEG-4 Video - 903,2 KB -

Video (mp4 format) to visualize land cover changes, 2016-2030, according to the "trend" scenario

confusion_matrices.R

25 oct. 2022 - Simulated future land cover maps according to different change scenarios, Nan Province, Thailand

R Syntax - 1,5 KB -

R script to compute confusion matrices

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