Subject: Computer and Information Science
Data Type: Dataset
Subject: Agricultural Sciences
Language: English
Author Name: Dupuy, Stéphane
Geographic Coverage Country / Nation: Madagascar
1 to 4 of 4 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... |
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... |
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... |