Keyword Term: environment
Keyword Term: base de données spatiale
Keyword Term: remote sensing
Keyword Term: environnement
Language: English
11 to 18 of 18 Results
26 janv. 2022
Rumiano, Florent; Miguel, Eve; Caron, Alexandre; Dupuy, Stéphane; Tran, Annelise, 2022, "Monthly surface water maps, Gonarezhou National Park, Zimbabwe, 2018", https://doi.org/10.18167/DVN1/O9COVW, CIRAD Dataverse, V1
Monthly surface water maps, Gonarezhou National Park, Zimbabwe, derived from Sentinel-2 images (2018). |
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... |
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... |
18 févr. 2020
Rumiano, Florent; Miguel, Eve; Valls-Fox, Hugo; Chamaillé-Jammes, Simon; Caron, Alexandre; Tran, Annelise, 2020, "Monthly surface water maps, Hwange National Park, Zimbabwe, 2018", https://doi.org/10.18167/DVN1/KPSYME, CIRAD Dataverse, V1
Monthly surface water maps, Hwange National Park, Zimbabwe, derived from Sentinel-2 images (2018) TEMPO project: Remote sensing and Spatial modelling of animal mobility - Application to the study of wildlife/livestock contacts and risk of pathogen transmission http://tempo.cirad.... |
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... |
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... |