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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1 to 10 of 130 Results
19 déc. 2024
Alexandre, Chloé; Toillier, Aurélie; Mathe, Syndhia; Valentin, Sarah; Helmer, Thierry; Rouvière, Xavier; Roche, Mathieu, 2024, "Innovation lexicon", https://doi.org/10.18167/DVN1/VMHTYL, CIRAD Dataverse, V1
The DeSIRA (Development Smart Innovation through Research in Agriculture) Initiative from the European Commission funds Research and Development projects seeking to bridge the gap between the research community and the formulation of policies to build resilient, sustainable and e...
5 sept. 2024
El Houbri, Fatima Ezahra; Valentin, Sarah; Idrissi, Najlae; Roche, Mathieu, 2024, "Arabic corpus and entities dealing with animal disease surveillance extracted with PADI-web", https://doi.org/10.18167/DVN1/2B4WLR, CIRAD Dataverse, V1, UNF:6:/8/tpWu2MzGuGuB5xtMPZA== [fileUNF]
The corpus contains 53 Arabic articles automatically extracted from the PADI-web tool (https://www.padi-web-one-health.org). Each article dealing with animal disease surveillance is associated with an Id. Epidemiological named entities manually extracted from this Arabic corpus:...
24 juin 2024
Nenwala, Victor Hugo; Foulna Tcheobe, Carmel; Lavarenne, Jérémy, 2024, "Weather Station Data from Northern Cameroon (June 2023 - June 2024)", https://doi.org/10.18167/DVN1/XZZOVN, CIRAD Dataverse, V1
Abstract This dataset contains raw and processed weather measurements from three stations located in Bamé, Djiddé, and Pintchoumba in Northern Cameroon. The data spans from June 2023 to June 2024 and includes raw measurements, quality-checked data, and data aggregated at 5-minute...
30 mai 2024
Lavarenne, Jérémy, 2024, "Martinique daily interpolated rainfall, 1980-2021, obtained via ordinary kriging", https://doi.org/10.18167/DVN1/KJEA4Q, CIRAD Dataverse, V1
Description: This dataset provides daily interpolated rainfall maps for Martinique island, for the period 1980-2021, at 0.001° resolution, derived from daily rain gauge data observations. Dataset Preparation Methods: These maps were obtained by performing interpolation from daily...
17 mai 2024
Lavarenne, Jérémy, 2024, "Martinique daily interpolated rainfall, 1980-2021, obtained via UKED", https://doi.org/10.18167/DVN1/CLUN5R, CIRAD Dataverse, V1
Description: This dataset provides daily interpolated rainfall maps for Martinique island, for the period 1980-2021, at 0.001° resolution, derived from daily rain gauge data observations. Dataset Preparation Methods: These maps were obtained by performing interpolation from daily...
8 avr. 2024
Rumiano, Florent; Miguel, Eve; Valls-Fox, Hugo; Chamaillé-Jammes, Simon; Caron, Alexandre; Tran, Annelise, 2020, "Land cover map, Dete site, Hwange National Park, Zimbabwe", https://doi.org/10.18167/DVN1/BJJZJV, CIRAD Dataverse, V2
Land cover map of Dete study site derived from Sentinel-2 images (2018). TEMPO project: Remote sensing and Spatial modelling of animal mobility - Application to the study of wildlife/livestock contacts and risk of pathogen transmission http://tempo.cirad.fr
11 mars 2024
Dupuy, Stéphane; Lelong, Camille; Husson, Clara; Guillon, Colas; Ahamada, Anisse; Dautrey, Emilien; Moussa, Toufa; El Hadji, Inssa; Said, Mohamed, 2024, "Mayotte - 2023 - Base de données de référence de l'occupation du sol", https://doi.org/10.18167/DVN1/WPLIUE, CIRAD Dataverse, V1
La base de données de référence a été créée pour entrainer un algorithme de classification supervisé d'images satellites pour la production de cartes d'occupation du sol. Il s'agit de polygones représentatifs de l'occupation du sol de l'ile de Mayotte. La table attributaire conti...
11 mars 2024
Dupuy, Stéphane; Lelong, Camille; Gaetano, Raffaele; Villers, Alexandre, 2024, "Occupation du sol - Mayotte - Carte de 2023", https://doi.org/10.18167/DVN1/CTNRHW, CIRAD Dataverse, V1
Nous diffusons des cartes d'occupation des sols de l'ile de Mayotte produites en 2023 en utilisant une méthodologie combinant l'apprentissage automatique et l'analyse d'images satellites basée sur les objets (OBIA). Ces travaux ont été réalisé dans le cadre du projet BIOTAMAYA (f...
6 mars 2024
Rumiano, Florent; Tran, Annelise; Degenne, Pascal; Dufleit, Victor; Caron, Alexandre; Miguel, Eve, 2023, "Spatial models of animal mobility: buffalo and cattle in Southern Africa", https://doi.org/10.18167/DVN1/T8DX7U, CIRAD Dataverse, V2
A spatial model of animal mobility has been developed for buffalo and cattle at the interface between protected areas and rural communal lands in southern Africa. It simulates the movements of African buffalo (Syncerus caffer caffer) and domestic cattle (Bos taurus, Bos indicus)...
4 mars 2024
Dupuy, Stéphane; Lainé, Gérard; Tassin, Jacques; Sarrailh, Jean-Michel, 2019, "Mayotte - Typologie des espaces boisés - 2010 - (donnée brute)", https://doi.org/10.18167/DVN1/CTZX7T, CIRAD Dataverse, V3
Typologie des espaces boisés réalisées par le Cirad - UMR TETIS et UPR Forêts et Sociétés (Consortium AGRIFORT Consult) pour le compte du Conseil Général de Mayotte. Cette carte est issue d'une classification orientée objet et utilise des MNS et MNT issus d’acquisitions LiDAR eff...
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