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11 to 20 of 22 Results
21 mars 2022
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-...
25 mars 2021
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...
17 mars 2021
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...
8 janv. 2021
Jolivot, Audrey, 2020, "Cartographie de l'occupation du sol de la zone des Niayes (Sénégal) en 2006 et 2014 (30m de résolution)", https://doi.org/10.18167/DVN1/PA53SW, CIRAD Dataverse, V2
La zone d'étude se situe au nord ouest du Sénégal et s'étale sur 5 100km². Elle inclue la ville de Thiès et une partie de la ville de Dakar, et remonte jusqu'à Kébémer, aux portes du désert de Loumpoul. Chaque carte d'occupation du sol a été réalisée à partir de deux images satel...
4 janv. 2021
Jolivot, Audrey, 2021, "Cartographie de l'occupation du sol de la zone des Niayes (Sénégal) en 2018 (1.5 m de résolution)", https://doi.org/10.18167/DVN1/KJAS6S, CIRAD Dataverse, V1
La zone d'étude se situe au nord ouest du Sénégal et s'étale sur 5 100km². Elle inclue la ville de Thiès et une partie de la ville de Dakar, et remonte jusqu'à Kébémer, aux portes du désert de Loumpoul. La carte d'occupation 2018 a été réalisée à partir d'une image à Très Haute R...
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...
8 janv. 2020
Dupuy, Stéphane; Gaetano, Raffaele, 2019, "Reunion island - 2017, Land cover map (Pleiades)", https://doi.org/10.18167/DVN1/RTAEHK, CIRAD Dataverse, V3
As part of THEIA (the French Data and Services center for continental surfaces) 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 methodolog...
16 oct. 2019
Dupuy, Stéphane, 2019, "Reunion Island - 2018, learning spatial database", https://doi.org/10.18167/DVN1/8QJABD, CIRAD Dataverse, V1
The spatial learning database for 2018 contains 5620 plots. We use it to calculate a land use map from satellite images. It is organized according to a nested 3-level nomenclature. The sources and techniques used to build the database by land use groups are described below: For a...
26 sept. 2019
Dupuy, Stéphane; Barbe, Eric; Balestrat, Maud, 2019, "Carte de consommation des terres par l'artificialisation - 1997 et 2009 - Languedoc-Roussillon", https://doi.org/10.18167/DVN1/V7HOVH, CIRAD Dataverse, V1
Cette donnée est le résultat de travaux de classification d'images satellites. Nous avons dans un premier temps cartographié l'occupation du sol à partir d'images des capteurs RapidEye acquises en 2009 sur l'ensemble de la région Languedoc-Roussillon. A partir de cette carte, nou...
20 juin 2019
Dupuy, Stéphane; Gaetano, Raffaele, 2019, "La Réunion - Carte d'occupation du sol 2018 (Spot6/7) - 1.5m", https://doi.org/10.18167/DVN1/SH9CWG, CIRAD Dataverse, V1
Dans le cadre du Centre d’Expertise Scientifique Occupation des Sols de THEIA, l’UMR TETIS du CIRAD développe une méthode de cartographie automatisée fondée sur la chaine Moringa qui minimise les interactions avec les utilisateurs par l’automatisation de la plupart des processus...
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