Annual Crop Classification Experiments in Portugal Using Sentinel-2

This paper presents an experimental crop classification of the 10 most abundant annual crop types in Portugal, using a study area located in Alentejo region. This region has great diversity of land uses as well as multiple crop types. Sentinel-2 2018 intra-annual time-series imagery is considered in...

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Published in2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS pp. 5838 - 5841
Main Authors Benevides, Pedro, Costa, Hugo, Moreira, Francisco D., Moraes, Daniel, Caetano, Mario
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.07.2021
Subjects
crop mapping
Crops
Forestry
Geoscience and remote sensing
Information filters
Manuals
Portugal
Production
random forest
Sentinel-2
time-series
Training
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Summary:This paper presents an experimental crop classification of the 10 most abundant annual crop types in Portugal, using a study area located in Alentejo region. This region has great diversity of land uses as well as multiple crop types. Sentinel-2 2018 intra-annual time-series imagery is considered in the experiment. The Portuguese Land Parcel Identification System (LPIS) is used to extract automatic training samples. LPIS information is automatically processed with the help of auxiliary datasets to filter out crop areas more likely to have been mislabeled. Classification is obtained using random forest. Validation is performed using an independent dataset also based on LPIS. A global accuracy of 76% is obtained. The novelty of the methodology here presented shows that LPIS can be used together with auxiliary data for crop type mapping, helping to characterize the agriculture land diversity in Portugal.
ISSN:2153-7003
DOI:10.1109/IGARSS47720.2021.9555009