Horizon 1 1 17 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES Deep convolutional neural network for mangrove mapping IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium IGARSS.International Geoscience and Remote Sensing Symposium 1969-1972 PACIFIQUE FIDJI 2020 2020/09/26-2020/10/02 Piscataway IEEE fdi:010084424 ENG ISI:000664335302006 10.1109/IGARSS39084.2020.9323802 https://www.documentation.ird.fr/hor/fdi:010084424 https://www.documentation.ird.fr/intranet/publi/2023-01/010084424.pdf Horizon (IRD) Updated information on the spatial distribution of mangrove forests is of high importance for management plans. Yet, access to mangrove distribution maps is limited, even-though remote sensing data is currently freely available and deep learning algorithms score high performances in automatic classification tasks. The methodologies developed in this paper are based on a deep convolutional neural network and have been tested on WorldView 2 and Sentinel-2 images. The obtained results are highly satisfactory and open perspectives for automatically mapping mangrove distribution over large areas. 126 ; 128 ; 082