@inproceedings{15072a74c7db4797818e62dbca541264,
title = "BreizhCrops: a tome series dataset for crop type mapping",
abstract = "We present BreizhCrops, a novel benchmark dataset for the supervised classification of field crops from satellite time series. We aggregated label data and Sentinel-2 top-of-atmosphere as well as bottom-of-atmosphere time series in the region of Brittany (Breizh in local language), north-east France. We compare seven recently proposed deep neural networks along with a Random Forest baseline. The dataset, model (re-)implementations and pre-trained model weights are available at the associated GitHub repository (https://github.com/dl4sits/breizhcrops) that has been designed with applicability for practitioners in mind. We plan to maintain the repository with additional data and welcome contributions of novel methods to build a state-of-the-art benchmark on methods for crop type mapping.",
author = "M. Ru{\ss}wurm and C. Pelletier and M. Zollner and S. Lef{\`e}vre and M. K{\"o}rner",
year = "2020",
month = aug,
day = "6",
doi = "10.5194/isprs-archives-XLIII-B2-2020-1545-2020",
language = "English",
series = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",
publisher = "ISPRS",
pages = "1545--1551",
editor = "N. Paparoditis and C. Mallet and F. Lafarge and F. Remondino and I. Toschi and T. Fuse",
booktitle = "XXIV ISPRS Congress, Commission II",
note = "2020 24th ISPRS Congress - Technical Commission II ; Conference date: 31-08-2020 Through 02-09-2020",
}