1 to 10 of 25 Results
Rumiano, Florent; Tran, Annelise; Degenne, Pascal; Dufleit, Victor; Caron, Alexandre; Miguel, Eve, 2023, "Spatial models of animal mobility: buffalo and cattle in Southern Africa", https://doi.org/10.18167/DVN1/T8DX7U, CIRAD Dataverse, V2
A spatial model of animal mobility has been developed for buffalo and cattle at the interface between protected areas and rural communal lands in southern Africa. It simulates the movements of African buffalo (Syncerus caffer caffer) and domestic cattle (Bos taurus, Bos indicus)... |
Dupuy, Stéphane, 2023, "Mayotte - 2022 - DHM from Pleiades stereoscopic images", https://doi.org/10.18167/DVN1/4EAKVD, CIRAD Dataverse, V2
The data published here are derived from Pleiades images acquired by the Dinamis system. These data are produced for the Biotamaya project. - The DSM (Digital Surface Model) is calculated from Pleiades images acquired in stereoscopic mode. The images were acquired in 2022 (betwee... |
Tran, Annelise; Bonnal, Vincent; Cattan, Philippe; Degenne, Pascal; Dufleit, Victor, 2023, "Banana and sugar cane plots, Guadeloupe Island, 1969", https://doi.org/10.18167/DVN1/GCOYQD, CIRAD Dataverse, V1
A map of banana and sugarcane plots was produced from scanned paper maps of Guadeloupe in 1969 published by the French National Geographic Institute. Paper maps have been digitized and georeferenced to be integrated into a Geographic Information System environment. Then, vectoriz... |
Lavarenne, Jérémy, 2023, "High resolution map of plant available water content for Senegal, derived from iSDA Africa 30m soil properties maps using USDA Rosetta3 model", https://doi.org/10.18167/DVN1/SGNSII, CIRAD Dataverse, V2
Purpose: The purpose of this dataset is to provide a high resolution map of available water content for Senegal and Gambia derived from 30m soil properties maps using the iSDA Africa dataset and the USDA Rosetta3 model. The map can be used to notably support spatialized crop simu... |
Lavarenne, Jérémy, 2023, "High resolution map of plant available water content for Burkina Faso, derived from iSDA Africa 30m soil properties maps using USDA Rosetta3 model", https://doi.org/10.18167/DVN1/QNX5HU, CIRAD Dataverse, V1
Purpose: The purpose of this dataset is to provide a high resolution map of available water content for Burkina Faso derived from 30m soil properties maps using the iSDA Africa dataset and the USDA Rosetta3 model. The map can be used to notably support spatialized crop simulation... |
Rasamoelina, Harena; Veerapa-Mangroo, Lovena Preeyadarshini; Bedja, Said Ahmed; Roche, Mathieu, 2023, "Mots-clés pour PADI-web mis en place dans l'Océan Indien", https://doi.org/10.18167/DVN1/E7WMAO, CIRAD Dataverse, V1
Au cours d’un atelier de travail entre le CIRAD et la COI (Commission de l'océan Indien) organisé en octobre 2023 à Ebène (Mauritius) et adossé au projet MOOD, une liste de mots-clés a été produite. Ce lexique est lié à trois maladies à surveiller (Leptospirose, Dengue, Influenza... |
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... |
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... |
Boudoua, Bahdja; Tran, Annelise, 2023, "Suitability map for Avian influenza, Asia", https://doi.org/10.18167/DVN1/FYWDOJ, CIRAD Dataverse, V1
A Spatial Multi Criteria Evaluation was applied to map a suitability index (ranging from 0: low suitability to 255: high suitability) for habitat suitability for occurrence of highly pathogenic avian influenza virus H5N1 in domestic poultry in Asia. The method developed by (Steve... |
