TITLE: EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification 

ABSTRACT: We present EuroCrops, a dataset based on self-declared field annotations for
training and evaluating methods for crop type classification and mapping,
together with its process of acquisition and harmonisation. By this, we aim to
enrich the research efforts and discussion for data-driven land cover
classification via Earth observation and remote sensing. Additionally, through
inclusion of self-declarations gathered in the scope of subsidy control from
all countries of the European Union (EU), this dataset highlights the
difficulties and pitfalls one comes across when operating on a transnational
level. We, therefore, also introduce a new taxonomy scheme, HCAT-ID, that
aspires to capture all the aspects of reference data originating from
administrative and agency databases. To address researchers from both the
remote sensing and the computer vision and machine learning communities, we
publish the dataset in different formats and processing levels.
We present EuroCrops, a dataset based on self-declared field annotations for
training and evaluating methods for crop type classification and mapping,
together with its process of acquisition and harmonisation. By this, we aim to
enrich the research efforts and discussion for data-driven land cover
classification via Earth observation and remote sensing. Additionally, through
inclusion of self-declarations gathered in the scope of subsidy control from
all countries of the European Union (EU), this dataset highlights the
difficulties and pitfalls one comes across when operating on a transnational
level. We, therefore, also introduce a new taxonomy scheme, HCAT-ID, that
aspires to capture all the aspects of reference data originating from
administrative and agency databases. To address researchers from both the
remote sensing and the computer vision and machine learning communities, we
publish the dataset in different formats and processing levels.
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification
http://arxiv.org/abs/2106.08151v1