Dataset Open Access

TimeSen2Crop: a Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop Type Classification

Giulio Weikmann; Claudia Paris; Lorenzo Bruzzone

TimeSen2Crop is a pixel based dataset made up of more than 1 million samples of Sentinel 2 Time Series associated to 16 crop types, during an agronomic year ranging from September 2017 to August 2018. The dataset contains atmospherically corrected samples, as well as information related to snow, clouds and shadows.

This benchmark dataset has been developed in the framework of the ExtremeEarth project, which received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825258.

Files (1.1 GB)
Name Size
TimeSen2Crop.zip
md5:b5b7aad3fef192e78252e11c9a0e5cb8
1.1 GB Download
TimeSen2Crop_Description.pdf
md5:b603ac8cb687e0c5a44ccf41d9cd6897
99.3 kB Download
295
161
views
downloads
Views 295
Downloads 161
Data volume 75.6 GB
Unique views 263
Unique downloads 122

Share

Cite as