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BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING.
- Source :
- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 8/12/2020, Vol. 43 Issue B2, p1545-1551, 7p
- Publication Year :
- 2020
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- TIME series analysis
FIELD crops
RANDOM forest algorithms
CROPS
Subjects
Details
- Language :
- English
- ISSN :
- 16821750
- Volume :
- 43
- Issue :
- B2
- Database :
- Complementary Index
- Journal :
- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 151042874
- Full Text :
- https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1545-2020