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zhu-xlab/So2Sat-LCZ42

So2Sat-LCZ42 A copy of the Fourth version of the So2Sat-LCZ42 dataset, pairing the second version (culture-10) with geolocation: Training: 42 cities around the world Validation: western half of 10 other cities covering 10 cultural zones Testing: eastern half of the 10 other cities Description of the files First extract [split].h5.gz to [split].h5 with gunzip [split].h5.gz. training.h5: training data containing SEN1, SEN2 patches and label sen1: N*32*32*8 sen2:… See the full description on the dataset page: https://huggingface.co/datasets/zhu-xlab/So2Sat-LCZ42.

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So2Sat-LCZ42

A copy of the Fourth version of the So2Sat-LCZ42 dataset, pairing the second version (culture-10) with geolocation:

Training: 42 cities around the world Validation: western half of 10 other cities covering 10 cultural zones Testing: eastern half of the 10 other cities

Description of the files

First extract [split].h5.gz to [split].h5 with gunzip [split].h5.gz.

training.h5: training data containing SEN1, SEN2 patches and label

sen1: N32328 sen2: N323210 label: N*17 (one-hot coding)

validation.h5: validation data containing similar SEN1, SEN2, and label

sen1: M32328 sen2: M323210 label: M*17 (one-hot coding)

testing.h5: testing data containing SEN1 and SEN2 patches and label

sen1: L32328 sen2: L323210 label: L*17 (one-hot coding)

training_geo.h5: geolocation for the training data

coord: N6 # UTM X, UTM Y, SEN1 row number, SEN1 col number, SEN2 row number, SEN2 col number epsg: N1 # EPSG code tfw: N*6 # six parameters used to generate a TFW file

validation_geo.h5: geolocation for the validation data

coord: M6 epsg: M1 tfw: M*6

testing_geo.h5: geolocation for the testing data

coord: L6 epsg: L1 tfw: L*6

read_file.py: a demo python script to read in the files, and visualize a pair of patches Required python packages: h5py, numpy, and matplotlib.

Please visit https://github.com/zhu-xlab/So2Sat-LCZ42 for more details, including a demo notebook to generate geotiffs from h5 files.

Citation

bibtex

@ARTICLE{Zhu2020So2Sat,
  author={Zhu, Xiao Xiang and Hu, Jingliang and Qiu, Chunping and Shi, Yilei and Kang, Jian and Mou, Lichao and Bagheri, Hossein and Haberle, Matthias and Hua, Yuansheng and Huang, Rong and Hughes, Lloyd and Li, Hao and Sun, Yao and Zhang, Guichen and Han, Shiyao and Schmitt, Michael and Wang, Yuanyuan},
  journal={IEEE Geoscience and Remote Sensing Magazine}, 
  title={So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]}, 
  year={2020},
  volume={8},
  number={3},
  pages={76-89},
  doi={10.1109/MGRS.2020.2964708}}