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11 to 20 of 21 Results
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...
17 mars 2021
Dupuy, Stéphane; Lelong, Camille; Manasse, Marie Esther; Rambao, Jery; Mondésir, Jacques Philémon; Gaetano, Raffaele, 2021, "Nippes - Haïti - 2020, Reference Spatial Database", https://doi.org/10.18167/DVN1/29RZMQ, CIRAD Dataverse, V1
The reference spatial database was created to train an algorithm of supervised classification of satellite images for the production of land cover maps. It is composed of polygons representative of the land cover of the Nippes department in Haïti. The study focuses more especiall...
2 févr. 2021
Audrey Jolivot; Cesaro, Jean-Daniel; Simon Taugourdeau; Gond, Valery; Daniel Cornelis; Regis Peltier, 2021, "Mapping of the ecosystem banks of Amu Darya (Uzbekistan)", https://doi.org/10.18167/DVN1/B6MAVG, CIRAD Dataverse, V1
In 2011, the Government of Uzbekistan established the Lower Amudarya Biosphere Reserve (LABR). This protected area aims to conserve the tugay forest: a natural area specific to the stream banks of permanent rivers in Central Asia. The tugay is a riparian forest gallery over sever...
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...
6 mai 2020
Dupuy, Stéphane; Gaetano, Raffaele, 2020, "Reunion island - 2019, Land cover map (Spot6/7) - 1.5m", https://doi.org/10.18167/DVN1/YZJQ7Q, CIRAD Dataverse, V1
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...
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...
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...
15 oct. 2019
Londoño Villegas, Mónica María; Le Mezo, Lionel; Dupuy, Stéphane, 2019, "Base de données spatiale pour l'apprentissage - 2016-2017- La Réunion", https://doi.org/10.18167/DVN1/HM9QNL, CIRAD Dataverse, V1
La base de données pour la période 2016-2017, est constituée de 2650 parcelles. Nous l'utilisons pour calculer une carte d'occupation du sol à partir d'image satellites. Nous avons sélectionné de façon aléatoire 20% des parcelles de chaque classe pour constituer une base de donné...
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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