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so2sat

  • Description:

So2Sat LCZ42 is a dataset consisting of co-registered synthetic aperture radar and multispectral optical image patches acquired by the Sentinel-1 and Sentinel-2 remote sensing satellites, and the corresponding local climate zones (LCZ) label. The dataset is distributed over 42 cities across different continents and cultural regions of the world.

The full dataset (all) consists of 8 Sentinel-1 and 10 Sentinel-2 channels. Alternatively, one can select the rgb subset, which contains only the optical frequency bands of Sentinel-2, rescaled and encoded as JPEG.

Dataset URL: http://doi.org/10.14459/2018MP1454690 License: http://creativecommons.org/licenses/by/4.0

Split Examples

so2sat/rgb (default config)

  • Config description: Sentinel-2 RGB channels

  • Feature structure:

FeaturesDict({
    'image': Image(shape=(32, 32, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=17),
    'sample_id': tf.int64,
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
image Image (32, 32, 3) tf.uint8
label ClassLabel tf.int64
sample_id Tensor tf.int64

so2sat/all

  • Config description: 8 Sentinel-1 and 10 Sentinel-2 channels

  • Feature structure:

FeaturesDict({
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=17),
    'sample_id': tf.int64,
    'sentinel1': Tensor(shape=(32, 32, 8), dtype=tf.float32),
    'sentinel2': Tensor(shape=(32, 32, 10), dtype=tf.float32),
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
label ClassLabel tf.int64
sample_id Tensor tf.int64
sentinel1 Tensor (32, 32, 8) tf.float32
sentinel2 Tensor (32, 32, 10) tf.float32