Subject: Computer and Information Science
Keyword Term: télédétection
Geographic Coverage Country / Nation: Madagascar
Data Type: Dataset
Topic Classification Term: Imagery / Base Maps / Earth Cover ((inspire))
Language: English
1 to 7 of 7 Results
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... |
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... |
Jolivot, Audrey; Lebourgeois, Valentine; Ameline, Mael; Andriamanga, Valerie; Bellon, Beatriz; Castets, Mathieu; Crespin-Boucaud, Arthur; Defourny, Pierre; Diaz, Santiana; Dieye, Mohamadou; Dupuy, Stephane; Ferraz, Rodrigo; Gaetano, Raffaele; Gely, Marie; Jahel, Camille; Kabore, Bertin; Lelong, Camille; Le Maire, Guerric; Leroux, Louise; Lo Seen, Danny; Muthoni, Martha; Ndao, Babacar; Newby, Terry; De Oliveira Santos, Cecilia Lira Melo; Rasoamalala, Eloise; Simoes, Margareth; Thiaw, Ibrahima; Timmermans, Alice; Tran, Annelise; Begue, Agnes, 2021, "Harmonized in situ JECAM datasets for agricultural land use mapping and monitoring in tropical countries", https://doi.org/10.18167/DVN1/P7OLAP, CIRAD Dataverse, V4
This database contains nine land use / land cover datasets collected in a standardized manner between 2013 and 2022 in seven tropical countries within the framework of the international JECAM initiative: Burkina Faso (Koumbia), Madagascar (Antsirabe), Brazil (São Paulo and Tocant... |
Lelong, Camille; Herimandimby, Hasina, 2022, "Landscape matrix map at 2.25 km2 scale of a 84 km2 part of the Vavatenina District, Analanjirofo Region, Madagascar, 2019", https://doi.org/10.18167/DVN1/WDIJ8S, CIRAD Dataverse, V1
This map gives the spatial distribution of the major land use in a cell of 1500m x 1500m=2.25 km2, also called the landscape matrix, over 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, i... |
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; 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... |
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... |
