Geographic Coverage Country / Nation: Réunion
Keyword Term: environment
Data Type: Dataset
Keyword Term: remote sensing
1 to 8 of 8 Results
24 avr. 2023
Bley-Dalouman, Hélène; Broust, François; Tran, Annelise, 2023, "Forest map, Western Highlands region, Reunion Island", https://doi.org/10.18167/DVN1/LXXO9Y, CIRAD Dataverse, V1
A land cover map of forests of the Western Highlands region, Reunion Island was produced using a cloudless very high spatial resolution Pleiades image acquired on 31 May 2020. The final map was obtained through a supervised object-based classification of the Pleiades image using... |
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... |
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... |
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... |
4 avr. 2019
Dupuy, Stéphane; Gaetano, Raffaele, 2019, "La Réunion - Carte d'occupation du sol, 2017 (Spot6/7)", https://doi.org/10.18167/DVN1/OMHZQL, 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... |
28 mars 2019
Dupuy, Stéphane; Londoño Villegas, Mónica María; Gaetano, Raffaele, 2019, "La Réunion - Carte d'occupation du sol, 2016-2017", https://doi.org/10.18167/DVN1/TLELPO, CIRAD Dataverse, V1
Cette carte d'occupation du sol de l'île de la Réunion a été obtenue avec la chaine Moringa mise au point par l’équipe Cirad de l’UMR TETIS. Il s’agit du résultat d’une classification supervisée utilisant : (i) une base de données terrain constituée de relevés de terrain et d'inf... |