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

• Homepage: http://doi.org/10.14459/2018MP1454690

• Source code: tfds.image_classification.So2sat

• Versions:

  • 2.0.0: New split API (https://tensorflow.org/datasets/splits)
  • 2.1.0 (default): Using updated optical channels calibration factor.

• Download size: Unknown size

• Dataset size: Unknown size

• Auto-cached (documentation): Unknown

• Splits:

Split	Examples

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe): Missing.

• Citation:

so2sat/rgb (default config)

• Config description: Sentinel-2 RGB channels

• Features:

FeaturesDict({
    'image': Image(shape=(32, 32, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=17),
    'sample_id': tf.int64,
})

• Supervised keys (See as_supervised doc): ('image', 'label')

so2sat/all

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

• Features:

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),
})

• Supervised keys (See as_supervised doc): None