BigEarthNet

https://doi.org/10.14279/depositonce-10149

image classification land cover sentinel-2

Description

BigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2 tiles acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe were initially selected. All the tiles were atmospherically corrected by the Sentinel-2 Level 2A product generation and formatting tool (sen2cor). Then, they were divided into 590,326 non-overlapping image patches. Each image patch was annotated by the multiple land-cover classes (i.e., multi-labels) that were provided from the CORINE Land Cover database of the year 2018 (CLC 2018).

Documentation

http://bigearth.net/static/documents/BigEarthNetManual.pdf

Citation

G. Sumbul, M. Charfuelan, B. Demir, V. Markl, "BigEarthNet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding", IEEE International Geoscience and Remote Sensing Symposium, pp. 5901-5904, Yokohama, Japan, 2019.

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Usage Examples

Tutorials
Publications

STAC Collections

  • Description
    Source Imagery for BigEarthNet
    Resource type
    Source Imagery
    Collection ID
    bigearthnet_v1_source
    License
    CDLA-Permissive-1.0
  • Description
    Labels for BigEarthNet
    Resource type
    Labels
    Collection ID
    bigearthnet_v1_labels
    License
    CDLA-Permissive-1.0

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