BreizhCrops: a tome series dataset for crop type mapping

M. Rußwurm, C. Pelletier, M. Zollner, S. Lefèvre, M. Körner

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

46 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationXXIV ISPRS Congress, Commission II
EditorsN. Paparoditis, C. Mallet, F. Lafarge, F. Remondino, I. Toschi, T. Fuse
PublisherISPRS
Pages1545-1551
Number of pages7
DOIs
Publication statusPublished - 6 Aug 2020
Externally publishedYes
Event2020 24th ISPRS Congress - Technical Commission II - Nice, Virtual, France
Duration: 31 Aug 20202 Sept 2020

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
PublisherInternational Society for Photogrammetry and Remote Sensing
VolumeXLIII-B2-2020
ISSN (Print)1682-1750

Conference/symposium

Conference/symposium2020 24th ISPRS Congress - Technical Commission II
Country/TerritoryFrance
CityNice, Virtual
Period31/08/202/09/20

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