Datasets:

remote-sensing-ense3-grenoble-inp
/

grenoble_zanzibar

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train

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    UnidentifiedImageError
Message:      cannot identify image file <_io.BytesIO object at 0x7f84c8a67ef0>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 271, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2266, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1869, in __iter__
                  example = _apply_feature_types_on_example(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1781, in _apply_feature_types_on_example
                  decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2092, in decode_example
                  return {
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2093, in <dictcomp>
                  column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1407, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 184, in decode_example
                  image = PIL.Image.open(bytes_)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/PIL/Image.py", line 3339, in open
                  raise UnidentifiedImageError(msg)
              PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f84c8a67ef0>

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Description

This dataset contains data acquired by both the Landsat and Sentinel-2 platforms relative to a time series between the year 2020 to 2024 relative to the areas of Grenoble, France and the region of Zanzibar.

In particular, the dataset contains:

animation: A small animation relative to the evolution of certain quality indices
landsat
- clipped: Clipped regions to the AOI (area of interest)
- full_patches: Raw data
- lst: Land Surface Temperature
- multispectral: Full band coverage
- ndvi: Normalized Difference Vegetation Index
- rgb: Red/Green/Blue component
sentinel
- clipped: Clipped regions to the AOI (area of interest)
- evi: Enhanced Vegetation Index
- full_patches: Raw data
- lst: Land Surface Temperature
- multispectral: Full band coverage
- ndbi: Normalized Difference Built-up index (for urban extent)
- ndvi: Normalized Difference Vegetation Index
- ndwi: Normalized Difference Water Index (for detecting water bodies)
- rgb: Red/Green/Blue component

Credits

The dataset has been originally downloaded and organized by:

Ahmed Silima Vuai [email protected]

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