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1 to 10 of 14 Results
26 oct. 2023
Andriamampianina, Zaka; Rajaonson Nosy, Vokatsoa Lahatra; Andriamampionona, Lôla; Dupuy, Stéphane; Muller, Bertrand, 2023, "Itasy, Vakinankaratra - Madagascar - 2023 - Land cover reference spatial database", https://doi.org/10.18167/DVN1/5GHE96, CIRAD Dataverse, V1
This reference database in vector format (ESRI shape format) is organised according to a multi-level nomenclature. It is used to train an image classification algorithm with a view to producing land use maps for the Itashy and Vakinankaratra regions as part of the DINAAMICC proje...
26 oct. 2023
Dupuy, Stéphane; Lebourgeois, Valentine; Gaetano, Raffaele, 2023, "Itasy, Vakinankaratra - Madagascar - 2022-2023, Land cover map", https://doi.org/10.18167/DVN1/TKTPCH, CIRAD Dataverse, V1
The land use maps published here were produced for the communes studied by the DINAAMICC project for the period 2022-2023 (based on GPS collected in the field in March 2023). They partially cover the Itasy and Vakinankaratra regions. The reference database used to produce this ma...
5 oct. 2023
Dupuy, Stéphane; Lebourgeois, Valentine; Vagneron, Isabelle; Gaetano, Raffaele, 2023, "North Chin - Myanmar - 2020-2021 - Land cover map", https://doi.org/10.18167/DVN1/S8Q4LV, CIRAD Dataverse, V1
The land cover maps published here were produced for four regions of the northern part of Chin state in Myanmar: Hakha, Falam, Tedim and Thantlang. This work was carried out as part of the ALIVE FNS project to monitor land use (forests, cultivated land, built-up areas, etc.). We...
2 déc. 2022
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...
28 janv. 2022
Rumiano, Florent; Miguel, Eve; Caron, Alexandre; Dupuy, Stéphane; Tran, Annelise, 2022, "Land cover map, Pesvi site, Kruger National Park, Zimbabwe", https://doi.org/10.18167/DVN1/ZLIQIL, CIRAD Dataverse, V1
Land cover map of Pesvi study site derived from Sentinel-2 images (2018)
26 janv. 2022
Rumiano, Florent; Miguel, Eve; Caron, Alexandre; Dupuy, Stéphane; Tran, Annelise, 2022, "Monthly surface water maps, North Kruger National Park, 2018", https://doi.org/10.18167/DVN1/DAVZUY, CIRAD Dataverse, V1
Monthly surface water maps, North Kruger National Park, Zimbabwe, derived from Sentinel-2 images (2018)
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...
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