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.
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11 to 20 of 127 Results
15 déc. 2023
Tran, Annelise; Bonnal, Vincent; Cattan, Philippe; Degenne, Pascal; Dufleit, Victor, 2023, "Banana and sugar cane plots, Guadeloupe Island, 1969", https://doi.org/10.18167/DVN1/GCOYQD, CIRAD Dataverse, V1
A map of banana and sugarcane plots was produced from scanned paper maps of Guadeloupe in 1969 published by the French National Geographic Institute. Paper maps have been digitized and georeferenced to be integrated into a Geographic Information System environment. Then, vectoriz...
23 nov. 2023
Lavarenne, Jérémy, 2023, "High resolution map of plant available water content for Senegal, derived from iSDA Africa 30m soil properties maps using USDA Rosetta3 model", https://doi.org/10.18167/DVN1/SGNSII, CIRAD Dataverse, V2
Purpose: The purpose of this dataset is to provide a high resolution map of available water content for Senegal and Gambia derived from 30m soil properties maps using the iSDA Africa dataset and the USDA Rosetta3 model. The map can be used to notably support spatialized crop simu...
7 nov. 2023
Lavarenne, Jérémy, 2023, "High resolution map of plant available water content for Burkina Faso, derived from iSDA Africa 30m soil properties maps using USDA Rosetta3 model", https://doi.org/10.18167/DVN1/QNX5HU, CIRAD Dataverse, V1
Purpose: The purpose of this dataset is to provide a high resolution map of available water content for Burkina Faso derived from 30m soil properties maps using the iSDA Africa dataset and the USDA Rosetta3 model. The map can be used to notably support spatialized crop simulation...
28 oct. 2023
Rasamoelina, Harena; Veerapa-Mangroo, Lovena Preeyadarshini; Bedja, Said Ahmed; Roche, Mathieu, 2023, "Mots-clés pour PADI-web mis en place dans l'Océan Indien", https://doi.org/10.18167/DVN1/E7WMAO, CIRAD Dataverse, V1
Au cours d’un atelier de travail entre le CIRAD et la COI (Commission de l'océan Indien) organisé en octobre 2023 à Ebène (Mauritius) et adossé au projet MOOD, une liste de mots-clés a été produite. Ce lexique est lié à trois maladies à surveiller (Leptospirose, Dengue, Influenza...
26 oct. 2023
Andriamampianina, Zaka; Rajaonson Nosy, Vokatsoa Lahatra; Andriamampionona, Lôla; Dupuy, Stéphane; Muller, Bertrand, 2023, "Itasy, Vakinankaratra - Madagascar - 2023 - Land cover reference spatial database", https://doi.org/10.18167/DVN1/5GHE96, CIRAD Dataverse, V1
This reference database in vector format (ESRI shape format) is organised according to a multi-level nomenclature. It is used to train an image classification algorithm with a view to producing land use maps for the Itashy and Vakinankaratra regions as part of the DINAAMICC proje...
26 oct. 2023
Dupuy, Stéphane; Lebourgeois, Valentine; Gaetano, Raffaele, 2023, "Itasy, Vakinankaratra - Madagascar - 2022-2023, Land cover map", https://doi.org/10.18167/DVN1/TKTPCH, CIRAD Dataverse, V1
The land use maps published here were produced for the communes studied by the DINAAMICC project for the period 2022-2023 (based on GPS collected in the field in March 2023). They partially cover the Itasy and Vakinankaratra regions. The reference database used to produce this ma...
5 oct. 2023
Dupuy, Stéphane; Lebourgeois, Valentine; Vagneron, Isabelle; Gaetano, Raffaele, 2023, "North Chin - Myanmar - 2020-2021 - Land cover map", https://doi.org/10.18167/DVN1/S8Q4LV, CIRAD Dataverse, V1
The land cover maps published here were produced for four regions of the northern part of Chin state in Myanmar: Hakha, Falam, Tedim and Thantlang. This work was carried out as part of the ALIVE FNS project to monitor land use (forests, cultivated land, built-up areas, etc.). We...
11 mai 2023
Boudoua, Bahdja; Tran, Annelise, 2023, "Suitability map for Avian influenza, Asia", https://doi.org/10.18167/DVN1/FYWDOJ, CIRAD Dataverse, V1
A Spatial Multi Criteria Evaluation was applied to map a suitability index (ranging from 0: low suitability to 255: high suitability) for habitat suitability for occurrence of highly pathogenic avian influenza virus H5N1 in domestic poultry in Asia. The method developed by (Steve...
26 avr. 2023
Menya, Edmond; Interdonato, Roberto; Owuor, Dickson; Roche, Mathieu, 2023, "PADI-web corpus used for the EpidBioELECTRA approach", https://doi.org/10.18167/DVN1/WD1UC2, CIRAD Dataverse, V1, UNF:6:yAzQEeampF5r1vKlkaDRVA== [fileUNF]
This dataset contains a set of news articles in English related to animal disease outbreaks, that have been used to train and evaluate EpidBioELECTRA epidemiological classifier and explainer. It is composed of 70,707 articles in csv format found in several folders (relevant folde...
24 avr. 2023
Bley-Dalouman, Hélène; Broust, François; Tran, Annelise, 2023, "Forest map, Western Highlands region, Reunion Island", https://doi.org/10.18167/DVN1/LXXO9Y, CIRAD Dataverse, V1
A land cover map of forests of the Western Highlands region, Reunion Island was produced using a cloudless very high spatial resolution Pleiades image acquired on 31 May 2020. The final map was obtained through a supervised object-based classification of the Pleiades image using...
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