Rapid Wildfire Hotspot Detection Using Self-Supervised Learning on Temporal Remote Sensing Data
Paper
•
2405.20093
•
Published
Error code: FeaturesError
Exception: ValueError
Message: Not able to read records in the JSON file at hf://datasets/links-ads/multi-temporal-hotspot-dataset@1c6bbf853dc491af76c1e9bae7e027382ca7a0a9/train_esri_thraws_1p_1n.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['type', 'crs', 'features']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__
yield from islice(self.ex_iterable, self.n)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
for key, pa_table in self.generate_tables_fn(**self.kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables
raise ValueError(
ValueError: Not able to read records in the JSON file at hf://datasets/links-ads/multi-temporal-hotspot-dataset@1c6bbf853dc491af76c1e9bae7e027382ca7a0a9/train_esri_thraws_1p_1n.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['type', 'crs', 'features']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset for RAPID WILDFIRE HOTSPOT DETECTION USING SELF-SUPERVISED LEARNING ON TEMPORAL REMOTE SENSING DATA
The main dataset used in the paper comprises the following inputs:
| Suffix | Description | Format |
|---|---|---|
| x | Longitude (EPSG:4326) | float |
| y | Latitude (EPSG:4326) | float |
| point_id | Pixel id of the AOI | int |
| class | Hotspot (1), No hotspot (0) | int |
| event_id | Effis event id | str |
| time | MSG15 activation timestamp | str |
| lc_2018 | ESRI LULC class | int |
| IR_016 | Infrared MSG15 channel | float |
| IR_039 | Infrared MSG15 channel | float |
| IR_087 | Infrared MSG15 channel | float |
| IR_097 | Infrared MSG15 channel | float |
| IR_108 | Infrared MSG15 channel | float |
| IR_120 | Infrared MSG15 channel | float |
| IR_134 | Infrared MSG15 channel | float |
| VIS_006 | Visible MSG15 channel | float |
| VIS_008 | Visible MSG15 channel | float |
| WV_062 | Water Vapour MSG15 channel | float |
| WV_073 | Water Vapour MSG15 channel | float |
This dataset was created in the context of the OVERWATCH project, funded in the Horizon Europe Programme under G.A. n.101082320, with the support of the EU Agency for the Space Programme (EUSPA). More information: https://overwatchproject.eu/