L'Unité Mixte de Recherche TETIS (AGROPARISTECH - CIRAD - CNRS - INRAE) met en œuvre une approche intégrée de la chaîne de l’information spatiale : acquisition et traitement de données spatialisées, analyse et modélisation spatio-temporelle des systèmes agro-environnementaux et territoriaux, conception et gestion de systèmes d’information, Text and Data Mining, TDM, Big data, conditions de l'utilisation de l’information spatiale par les acteurs territoriaux pour les politiques publiques.
The TETIS Joint Research Unit (AGROPARISTECH - CIRAD - CNRS - INRAE) implements an integrated approach to the spatial information chain : acquisition and processing of spatialized data, analysis and modelling spatio-temporal analysis and modelling of agricultural and territorial systems, design and management of information systems, Text and Data Mining, TDM, Big data, conditions for the use of spatial information by territorial actors for public policies.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

41 to 50 of 133 Results
10 janv. 2023
Roche, Mathieu; Enten, François; Reynaud, Lucie; Helmer, Thierry; Lebret, Marie-Christine; Martin, Pierre, 2023, "Results of surveys related to sources and languages - ASSET Knowledge Hub", https://doi.org/10.18167/DVN1/AO9BHT, CIRAD Dataverse, V1
The overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology. In this context, 3 workshops were organized in November 2022 in Cambodia, Laos and Vi...
10 janv. 2023
Roche, Mathieu; Enten, François; Lebret, Marie-Christine; Reynaud, Lucie; Helmer, Thierry; Martin, Pierre; Aliyavong, Manivanh; Chanthavone, Somchay; Duangpaserd, Vonekham; Lathsakid, Samphanh; Lejeune, Sophie; Nakavong, Vinaithong; Phaypadith, Xaysomphone; Phengmeuangkham, Somlid; Philavong, Bouathong; Phongpenya, Souksakhone; Phutthavongsa, Sengdeuan; Sibounheuang, Khamla; Sidavong, Khamphanh; Sipaseuth, Anouthikon; Singthavikhoune, Sengvilayvanh; Souvanhphukdee, Andy; Thongchanh, Khamphao; Thongpaseuth, Phousavanh; Thanasack, Phetsaphone; Xaymany, Khammoun; Yang, Fue, 2023, "ASSET Practical Lexicon: An agroecology lexicon in Laos", https://doi.org/10.18167/DVN1/QR46BC, CIRAD Dataverse, V1
The overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology. In this context, a joint workshop ASSET-ALiSEA was organized by GRET and CIRAD in Lao...
10 janv. 2023
Enten, François; Roche, Mathieu; Reynaud, Lucie; Lebret, Marie-Christine; Helmer, Thierry; Martin, Pierre; Aliyavong, Manivanh; Buntha, Thol; Chhin, Phy; Chankoma, An; Del Campo Aragonés, Celia; Hou, Sorith; Kean, Socheat; Kong, Rada; Ma, Sok Heng; Meoun, Kong; Mey, Veata; Pat, Sovann; Peuo, Vibol; Prak, Monita; Sok, Sotha; Sokha, Chan; Sopheak, Som; Vireaksopheakmukul, Yong, 2023, "ASSET Practical Lexicon: An agroecology lexicon in Cambodia", https://doi.org/10.18167/DVN1/OEX6QX, CIRAD Dataverse, V1
The overall objective of the ASSET Project is to transform food and agricultural systems in Southeast Asia more sustainable, safer and inclusive, through harnessing the potential of Agroecology. In this context, a joint workshop ASSET-ALiSEA was organized by GRET and CIRAD in Cam...
6 janv. 2023
Roche, Mathieu, 2023, "News dealing with 'Xylella fastidiosa' collected with PADI-web", https://doi.org/10.18167/DVN1/NGA1JI, CIRAD Dataverse, V1
Due to the increasing number of new and reemerging pests resulting from intensification, globalisation and climate change, monitoring of plant health is crucial. In this context, the PADI-web pipeline was implemented for plant disease surveillance. This dataset presents data coll...
5 déc. 2022
Andriamanga, Andoniaina Valérie; Laurence, Defrise; Rasoamalala, Eloise; Burnod, Perrine, 2022, "Antananarivo - Madagascar - 2022, Land use reference spatial database", https://doi.org/10.18167/DVN1/CBJ0QX, CIRAD Dataverse, V2
This reference database in vector format (ESRI shape format) is organized according to a multi-level nomenclature. It is used to train an image classification algorithm in order to produce land cover maps of the Antananarivo metropolitan area (see dataverse sheets describing thes...
2 déc. 2022
Dupuy, Stéphane; Andriamanga, Andoniaina Valérie; Gaetano, Raffaele; Burnod, Perrine, 2022, "Antananarivo - 2022 Land cover map", https://doi.org/10.18167/DVN1/RE1MDM, CIRAD Dataverse, V3
We publish two land cover maps of the city of Antananarivo produced with data acquired in 2022 using a methodology combining machine learning and object-based image analysis (OBIA). This work follows on from work that resulted in a map of the same area in 2017. The maps are produ...
28 nov. 2022
Choquet, Chloé; Interdonato, Roberto; Roche, Mathieu; Deléglise, Hugo, 2022, "Lexique en français sur la sécurité alimentaire et les crises 2022", https://doi.org/10.18167/DVN1/NVHQLP, CIRAD Dataverse, V1, UNF:6:zawKNKOC56vNpRA6mUuZJw== [fileUNF]
Le lexique sur la sécurité alimentaire est composé de trois lexiques en français : - un lexique général sur la sécurité alimentaire (LEXG) contenant 33 termes - un lexique détaillé sur la sécurité alimentaire (LEXA) contenant 90 termes - un lexique détaillé sur les situations de...
31 oct. 2022
Lavarenne, Jérémy, 2022, "Map of land cover for West Africa, adapted from ESA WorldCover 2021 for use in SARRA-O crop model", https://doi.org/10.18167/DVN1/UEGEXT, CIRAD Dataverse, V1
This raster map is adapted from the ESA WorldCover 10m 2021 v200 dataset (doi:10.5281/zenodo.7254221) for use in SARRA-O crop model. It describes 11 classes of land cover for West Africa, at a resolution of 0,0375° (approximatively 4km). It was obtained by performing raster align...
31 oct. 2022
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...
26 oct. 2022
Tran, Annelise; Demarchi, Marie; Castets, Mathieu; Marti, Renaud; Catry, Thibault; Clément, Cécile; Jouanthoua, Fabienne; Esteve-Moussion, Isabelle; Foussadier, Rémi; Besnard, Gilles; Chouin, Sébastien; Lanoizelet, Céline; L'Ambert, Grégory; Cros, Myriam; Etienne, Manuel; Godal, Albert, 2020, "ARBOCARTO", https://doi.org/10.18167/DVN1/APVHYM, CIRAD Dataverse, V2
ARBOCARTO est un outil de cartographie prédictive des densités de populations d’Aedes vecteurs (Ae. albopictus et Ae. aegypti) à une échelle spatiale adaptée à l’organisation des actions de surveillance et de contrôle à partir de données entomologiques locales, météorologiques et...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.