Keyword Term: spatial database
Keyword Term: remote sensing
Subject: Computer and Information Science
21 to 30 of 31 Results
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... |
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... |
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... |
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... |
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... |
29 nov. 2019
Laurence, Defrise; Andriamanga, Valérie; Rasoamalala, Eloise; Dupuy, Stéphane; Burnod, Perrine, 2019, "Antananarivo - Madagascar - 2017, Land use reference spatial database", https://doi.org/10.18167/DVN1/5TZOOW, CIRAD Dataverse, V1
This vector format database (ESRI shape format) is made up of field surveys carried out during the end of the 2017 rainy season (March to April) which corresponds to the peak of the growing season. Study area is Antananarivo city, capital of Madagascar. GPS points were collected... |
18 nov. 2019
Dupuy, Stéphane, 2019, "Reunion Island - 2017, reference spatial database", https://doi.org/10.18167/DVN1/TOARDN, CIRAD Dataverse, V3
The reference spatial database for 2017 is composed of 6256 plots. We use it to calculate a land use map from satellite images.It is organized according to a nomenclature offering 3 levels of precision. We randomly selected 20% of the plots in each class to build a validation dat... |
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... |
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... |