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Datasets:
Meehai
/
neo_data_1month

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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in Meehai/neo_data_1month
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 73, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1904, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 597, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in Meehai/neo_data_1month

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NEO dataset

Preprocessing and loading scripts for NEO datasets: 1 week and 1 month variants. Go in either 1 week or 1 month directories.

Steps:

  1. Download raw data

    Use the ./download_raw_data.py -o raw_data script.

    1.1 For weekly data only. Use the preprocess_raw_1week_data.py raw_data -o raw_data_fixed script.

    • NDVI is only sampled at 16 days, we make an average of two consecutive samples to create an 8 day average.

    • We rename the data from YYYY-MM-DD to YYYY-MM-E (E=1,2,3,4 depending on which week bucket). This is needed because different sensors sample data at different weeks

  2. Convert from PNG to NPY files

  • Converts from raw PNG to [0:1] normalied, 540x1080 npy files, and adds NaNs to invalid regions in the NEO data.

./convert_png_to_npy.py raw_data -o npy_data [--resolution 540 1080]

  • If --resolution is not set, it will default to 540 x 1080.

  1. Run the neo_viewer and data analysis notebook

    • Set the path to neo_1week/npy_data or neo_1month/npy_data.

  2. Use in ML python scripts via the neo reader. You can also run it with the npy_data.

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