Keyword Term: spatial database
Keyword Term: base de données spatiale
Keyword Term: Pleiades
Language: English
1 to 9 of 9 Results
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... |
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... |
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-... |
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... |
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... |
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... |
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... |
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... |
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... |
