1 to 8 of 8 Results
7 août 2022
Valentin Sarah; De Waele Valérie; Vilain Aline; Arsevska Elena; Lancelot Renaud; Roche Mathieu, 2019, "Annotation of epidemiological information in animal disease-related news articles: guidelines and manually labelled corpus", https://doi.org/10.18167/DVN1/YGAKNB, CIRAD Dataverse, V3, UNF:6:H+qzG30RSQ4fWYYA2UBwEQ== [fileUNF]
This dataset contains two files: (i) An annotated corpus ("epi_info_corpus‧xlsx") containing 486 manually annotated sentences extracted from 32 animal disease-related news articles. These news articles were obtained from the database of an event-based biosurveillance system dedic... |
28 août 2020
Tran, Annelise; Fall, Assane Gueye; Biteye, Biram; Ciss, Mamadou; Gimonneau, Geoffrey; Castets, Mathieu; Seck, Momar Talla; Chevalier, Véronique, 2019, "Sénégal - Distribution spatiale de moustiques vecteurs de la fièvre de la Vallée du Rift, 2014-2016", https://doi.org/10.18167/DVN1/IQ2J1L, CIRAD Dataverse, V2
Couches géographiques issues d'un modèle de dynamique de population de moustiques appliqué à trois espèces vectrices de la fièvre de la Vallée du Rift au Sénégal : Aedes (Aedimorphus) vexans, Culex (Culex) poicilipes et Culex (Culex) tritaeniorhynchus (2014-2016). Format Shapefil... |
9 avr. 2020
Dupuy, Stéphane; Defrise, Laurence; Burnod, Perrine, 2019, "Antananarivo - Madagascar - Land use change map between 2003 and 2017", https://doi.org/10.18167/DVN1/VQZZI0, CIRAD Dataverse, V2
Land use map, in ESRI shapefile format, displaying the evolution of artificial spaces in Antananarivo agglomeration (Madagascar capital) during 2003 to 2017 period. This map is the result of remote sensing processing of satellite images. Spot5 images acquired on February 14 and J... |
26 mars 2020
Dupuy, Stéphane; Defrise, Laurence; Gaetano, Raffaele; Burnod, Perrine, 2019, "Antananarivo - 2017 Land cover map", https://doi.org/10.18167/DVN1/NHE34C, CIRAD Dataverse, V2
The map proposed here is a key data to understand urban agriculture’s dynamics in relation to urbanization in Antananarivo agglomeration and agriculture’s contribution to the city food system while debates are ongoing to update Antananarivo city master plan. This land cover map w... |
20 déc. 2019
Lebourgeois, Valentine; Dupuy, Stéphane; Vintrou, Élodie; Ameline, Maël; Butler, Suzanne; Bégué, Agnès, 2019, "Antsirabe, Madagascar - 2015, land cover map", https://doi.org/10.18167/DVN1/8T3UJE, CIRAD Dataverse, V2
This work was conducted before the launch of ESA Sentinel-2 mission, which images are particularly adapted to crop monitoring and characterization thanks to their high spatial (10 – 60m) and temporal (5 days) resolutions. We worked with Landsat-8 and Spot5 images to create a time... |
7 nov. 2019
Dupuy, Stéphane; Gaetano, Raffaele, 2019, "Reunion island - 2018, Land cover map (Pleiades) - 0.5m", https://doi.org/10.18167/DVN1/WKAJZO, CIRAD Dataverse, V1
CIRAD's TETIS research unit is developing an automated mapping method based on the Moringa chain that minimizes interactions with users by automating most image analysis and processing. The methodology uses jointly a Very High Spatial Resolution image (Spot6/7 or Pleiades) and on... |
23 avr. 2019
Fall, Assane Gueye; Biteye, Biram; Ciss, Mamadou; Seck, Momar Talla; Apolloni, Andrea; Fall, Moussa; Tran, Annelise; Gimonneau, Geoffrey, 2019, "Sénégal – Données entomologiques du projet VMERGE 2014-2016", https://doi.org/10.18167/DVN1/LINKQD, CIRAD Dataverse, V1, UNF:6:E4qG20NvrCTE/jwa/yQhTg== [fileUNF]
Collections entomologiques de moustiques réalisées dans le cadre du projet VMERGE, Sénégal, 2014 - 2016 Mosquito collections conducted in the framework of VMERGE project, Senegal, 2014 - 2016 |
23 avr. 2019
Baron, Christian, 2019, "SARRA-H Modèle de culture : Système d'Analyse Régionale des Risques Agroclimatologiques Version H", https://doi.org/10.18167/DVN1/JSAHFB, CIRAD Dataverse, V1
SARRA-H est une évolution forte de la suite du logiciel SARRA qui est un bilan hydrique dynamique simple utilisé pour estimer l’impact d’un scénario climatique sur une culture annuelle. SARRA-H est spécifiquement adapté à l'analyse d'impact du climat sur la croissance des céréale... |