Subject: Computer and Information Science
Data Type: Dataset
Subject: Agricultural Sciences
Language: English
Language: French
1 to 10 of 11 Results
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... |
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... |
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... |
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... |
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... |
Lelong, Camille; Herimandimby, Hasina, 2022, "Very high spatial resolution land use / land cover map of a 84km2 part of the Vavatenina District, Analanjirofo Region, Madagascar, 2019", https://doi.org/10.18167/DVN1/KDNOV4, CIRAD Dataverse, V1
This map gives the spatial distribution of the main agricultural systems and land uses present in an area of study of landscape dynamics in Madagascar. It consists of an area of 84 square kilometers located at the West of Vavatenina town, in the Analanjirofo Region, on the North-... |
Gaetano, Raffaele; Dupuy, Stéphane; Lelong, Camille, 2021, "Nippes - Haïti - 2020, Land Cover Map at high spatial resolution", https://doi.org/10.18167/DVN1/ZAN2WN, CIRAD Dataverse, V1
The maps were produced with iota2 processing chain, developed in the framework of the activities of the "Land Use" Scientific Expertise Centre of the Theia Data and Services Center. They are distributed in raster TIFF format. IOTA2 produces land cover maps by classifying satellit... |
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Dupuy, Stéphane; Lelong, Camille; Gaetano, Raffaele, 2021, "Nippes - Haïti - 2020, Land Cover Map at very high spatial resolution", https://doi.org/10.18167/DVN1/QOLTTE, CIRAD Dataverse, V1
The maps were produced with the Moringa chain developed by CIRAD (UMR TETIS). They are distributed in ESRI SHAPE vector format. The Moringa chain produces land cover maps by classifying satellite images. It implies a time series of Sentinel 2 images, a Digital Terrain Model, a ve... |
21 déc. 2020
Tran, Annelise; Le Minter, Gildas; Balleydier, Elsa; Etheves, Anaïs; Laval, Morgane; Boucher, Floriane; Guernier, Vanina; Lagadec, Erwan; Mavingui, Patrick; Cardinale, Eric; Tortosa, Pablo, 2020, "Map of rat fleas distribution, Reunion Island", https://doi.org/10.18167/DVN1/TWNWG6, CIRAD Dataverse, V1
Map of predicted Xenopsylla Genus Flea Index (GFI) based on climatic and environmental variables, Reunion Island. Xenopsylla cheopis and Xenopsylla brasiliensis are known vectors of Rickettsia typhi, a pathogenic bacterium causing murine typhus, a neglected zoonotic disease. GFI... |
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... |
