BigEarthNet
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).
Dataset ID | bigearthnet_v1 |
DOI | 10.14279/depositonce-10149browse DOI |
Creator | BigEarthNet |
Contact | contact@bigearth.net |
Documentation
Publications
Citation
G. Sumbul, M. Charfuelan, B. Demir, V. Markl, "[BigEarthNet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding](http://bigearth.net/static/documents/BigEarthNet_IGARSS_2019.pdf)", IEEE International Geoscience and Remote Sensing Symposium, pp. 5901-5904, Yokohama, Japan, 2019.
Python Client example
from radiant_mlhub import Dataset
ds = Dataset.fetch('bigearthnet_v1')
for c in ds.collections:
print(c.id)
Download Dataset
Source Imagery Collections
Description | BigEarthNet v1.0 |
License | CDLA-Permissive-1.0 |
Collection ID | bigearthnet_v1_source |
Download | |
Labels Collections
Description | BigEarthNet v1.0 |
License | CDLA-Permissive-1.0 |
Collection ID | bigearthnet_v1_labels |
Download | |
CONNECT
© Radiant Earth Foundation