Operational machine learning for remote spectroscopic detection of CH_{4} point sources
Paper • 2511.07719 • Published
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'window_row_off', 'window_rotation', 'window_height', 'window_width', 'window_col_off'})
This happened while the csv dataset builder was generating data using
hf://datasets/UNEP-IMEO/MARS-Hyperspectral/EMIT/train_t_v4a_mini10_tiled_withsavedrotations_128_64.csv (at revision 74b3d3132d135fee1761df1dadb7d662a4b5245b), ['hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EMIT/train_t_v4a.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EMIT/train_t_v4a_mini10.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EMIT/train_t_v4a_mini10_tiled_withsavedrotations_128_64.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EMIT/train_t_v4a_tiled_withsavedrotations_128_64.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EnMAP/train_s_v4a.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EnMAP/train_s_v4a_tiled_withsavedrotations_128_64.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/PRISMA/train_s_v4a.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/PRISMA/train_s_v4a_tiled_withsavedrotations_128_64.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
wind_u: double
wind_v: double
wind_speed: double
percentage_clear: double
tile: string
isplume: bool
ch4_fluxrate: double
ch4_fluxrate_std: double
satellite: string
tile_date: string
location_name: string
sector: string
country: string
folder_name: string
window_row_off: int64
window_col_off: int64
window_width: int64
window_height: int64
window_rotation: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2650
to
{'id': Value('string'), 'wind_u': Value('float64'), 'wind_v': Value('float64'), 'wind_speed': Value('float64'), 'percentage_clear': Value('float64'), 'tile': Value('string'), 'isplume': Value('bool'), 'ch4_fluxrate': Value('float64'), 'ch4_fluxrate_std': Value('float64'), 'satellite': Value('string'), 'tile_date': Value('string'), 'location_name': Value('string'), 'sector': Value('string'), 'country': Value('string'), 'folder_name': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'window_row_off', 'window_rotation', 'window_height', 'window_width', 'window_col_off'})
This happened while the csv dataset builder was generating data using
hf://datasets/UNEP-IMEO/MARS-Hyperspectral/EMIT/train_t_v4a_mini10_tiled_withsavedrotations_128_64.csv (at revision 74b3d3132d135fee1761df1dadb7d662a4b5245b), ['hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EMIT/train_t_v4a.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EMIT/train_t_v4a_mini10.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EMIT/train_t_v4a_mini10_tiled_withsavedrotations_128_64.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EMIT/train_t_v4a_tiled_withsavedrotations_128_64.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EnMAP/train_s_v4a.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/EnMAP/train_s_v4a_tiled_withsavedrotations_128_64.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/PRISMA/train_s_v4a.csv', 'hf://datasets/UNEP-IMEO/MARS-Hyperspectral@74b3d3132d135fee1761df1dadb7d662a4b5245b/PRISMA/train_s_v4a_tiled_withsavedrotations_128_64.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
id string | wind_u float64 | wind_v float64 | wind_speed float64 | percentage_clear float64 | tile string | isplume bool | ch4_fluxrate float64 | ch4_fluxrate_std float64 | satellite string | tile_date string | location_name string | sector string | country string | folder_name string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
EMIT_L1B_RAD_001_20231006T065521_2327905_035_Iq_19 | 6.479126 | -3.943466 | 7.584853 | 100 | EMIT_L1B_RAD_001_20231006T065521_2327905_035 | false | 0 | 0 | EMIT | 2023-10-06T06:55:21+00:00 | Iq_19 | Oil and Gas | Iraq | EMIT_L1B_RAD_001_20231006T065521_2327905_035_Iq_19 |
EMIT_L1B_RAD_001_20230430T072853_2312005_008_EMIT_0064 | 1.506653 | 0.410978 | 1.5617 | 100 | EMIT_L1B_RAD_001_20230430T072853_2312005_008 | true | 853.564442 | 430.762783 | EMIT | 2023-04-30T07:28:53+00:00 | EMIT_0064 | Oil and Gas | Egypt | EMIT_L1B_RAD_001_20230430T072853_2312005_008_EMIT_0064 |
EMIT_L1B_RAD_001_20230628T053236_2317904_026_EMIT_0174 | 0.52211 | 1.575668 | 1.659919 | 100 | EMIT_L1B_RAD_001_20230628T053236_2317904_026 | false | 0 | 0 | EMIT | 2023-06-28T05:32:36+00:00 | EMIT_0174 | unknown | Pakistan | EMIT_L1B_RAD_001_20230628T053236_2317904_026_EMIT_0174 |
EMIT_L1B_RAD_001_20230620T193708_2317113_025_EMIT_CH4_PlumeComplex-2139 | -0.651611 | -2.806802 | 2.881446 | 100 | EMIT_L1B_RAD_001_20230620T193708_2317113_025 | true | 9,363.865541 | 4,688.621199 | EMIT | 2023-06-20T19:37:08+00:00 | EMIT_CH4_PlumeComplex-2139 | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20230620T193708_2317113_025_EMIT_CH4_PlumeComplex-2139 |
EMIT_L1B_RAD_001_20230204T040713_2303503_009_C_E_195 | 2.016708 | 1.528366 | 2.530418 | 100 | EMIT_L1B_RAD_001_20230204T040713_2303503_009 | true | 2,675.935781 | 1,351.240238 | EMIT | 2023-02-04T04:07:13+00:00 | C_E_195 | Coal | China | EMIT_L1B_RAD_001_20230204T040713_2303503_009_C_E_195 |
EMIT_L1B_RAD_001_20250228T013154_2505901_050_AUS_1vyk2x92f | -1.895614 | 1.577681 | 2.466258 | 100 | EMIT_L1B_RAD_001_20250228T013154_2505901_050 | false | 0 | 0 | EMIT | 2025-02-28T01:31:54+00:00 | AUS_1vyk2x92f | Oil and Gas | Australia | EMIT_L1B_RAD_001_20250228T013154_2505901_050_AUS_1vyk2x92f |
EMIT_L1B_RAD_001_20230325T121118_2308408_042_EMIT_0264 | -0.324631 | 1.862452 | 1.890532 | 99.898785 | EMIT_L1B_RAD_001_20230325T121118_2308408_042 | true | 4,477.843423 | 2,251.235598 | EMIT | 2023-03-25T12:11:18+00:00 | EMIT_0264 | unknown | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20230325T121118_2308408_042_EMIT_0264 |
EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584 | -0.262726 | 1.445602 | 1.469283 | 100 | EMIT_L1B_RAD_001_20231002T113808_2327508_041 | false | 0 | 0 | EMIT | 2023-10-02T11:38:08+00:00 | EMIT_CH4_PlumeComplex-1584 | Oil and Gas | Algeria | EMIT_L1B_RAD_001_20231002T113808_2327508_041_EMIT_CH4_PlumeComplex-1584 |
EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15 | -1.760117 | -1.166053 | 2.111324 | 100 | EMIT_L1B_RAD_001_20230417T095836_2310707_011 | true | 22,587.967941 | 11,354.835319 | EMIT | 2023-04-17T09:58:36+00:00 | EMIT_CH4_PlumeComplex-15 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230417T095836_2310707_011_EMIT_CH4_PlumeComplex-15 |
EMIT_L1B_RAD_001_20220817T092038_2222906_011_K_9 | -5.269211 | 3.634043 | 6.400848 | 100 | EMIT_L1B_RAD_001_20220817T092038_2222906_011 | false | 0 | 0 | EMIT | 2022-08-17T09:20:38+00:00 | K_9 | Oil and Gas | Kazakhstan | EMIT_L1B_RAD_001_20220817T092038_2222906_011_K_9 |
EMIT_L1B_RAD_001_20230629T061626_2318004_015_EMIT_CH4_PlumeComplex-99 | 0.778702 | 0.493011 | 0.921649 | 100 | EMIT_L1B_RAD_001_20230629T061626_2318004_015 | true | 3,151.526601 | 1,574.279824 | EMIT | 2023-06-29T06:16:26+00:00 | EMIT_CH4_PlumeComplex-99 | unknown | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20230629T061626_2318004_015_EMIT_CH4_PlumeComplex-99 |
EMIT_L1B_RAD_001_20231025T061531_2329804_012_Te_M_12 | 1.64978 | 5.043777 | 5.306738 | 100 | EMIT_L1B_RAD_001_20231025T061531_2329804_012 | true | 42,299.205993 | 21,162.797109 | EMIT | 2023-10-25T06:15:31+00:00 | Te_M_12 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20231025T061531_2329804_012_Te_M_12 |
EMIT_L1B_RAD_001_20230223T045720_2305403_009_EMIT_0217 | 2.651657 | 0.518656 | 2.701905 | 93.036936 | EMIT_L1B_RAD_001_20230223T045720_2305403_009 | true | 2,707.992556 | 1,364.253552 | EMIT | 2023-02-23T04:57:20+00:00 | EMIT_0217 | Oil and Gas | China | EMIT_L1B_RAD_001_20230223T045720_2305403_009_EMIT_0217 |
EMIT_L1B_RAD_001_20230614T102415_2316507_025_Tc_7_2 | -1.342972 | -4.307587 | 4.512081 | 100 | EMIT_L1B_RAD_001_20230614T102415_2316507_025 | false | 0 | 0 | EMIT | 2023-06-14T10:24:15+00:00 | Tc_7_2 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230614T102415_2316507_025_Tc_7_2 |
EMIT_L1B_RAD_001_20250130T081153_2503006_032_TKM_EMIT_1 | -0.034505 | -2.63408 | 2.634306 | 100 | EMIT_L1B_RAD_001_20250130T081153_2503006_032 | false | 0 | 0 | EMIT | 2025-01-30T08:11:53+00:00 | TKM_EMIT_1 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20250130T081153_2503006_032_TKM_EMIT_1 |
EMIT_L1B_RAD_001_20230726T105057_2320707_028_IRN_CS9 | 3.024254 | 0.863715 | 3.145173 | 99.957983 | EMIT_L1B_RAD_001_20230726T105057_2320707_028 | false | 0 | 0 | EMIT | 2023-07-26T10:50:57+00:00 | IRN_CS9 | Oil and Gas | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20230726T105057_2320707_028_IRN_CS9 |
EMIT_L1B_RAD_001_20220817T042920_2222903_004_EMIT_CH4_PlumeComplex-2471 | -6.767563 | 3.763706 | 7.743732 | 100 | EMIT_L1B_RAD_001_20220817T042920_2222903_004 | false | 0 | 0 | EMIT | 2022-08-17T04:29:20+00:00 | EMIT_CH4_PlumeComplex-2471 | Oil and Gas | Kazakhstan | EMIT_L1B_RAD_001_20220817T042920_2222903_004_EMIT_CH4_PlumeComplex-2471 |
EMIT_L1B_RAD_001_20230807T073511_2321905_029_PS_waste_1 | 0.506191 | -1.11879 | 1.227974 | 98.901099 | EMIT_L1B_RAD_001_20230807T073511_2321905_029 | true | 1,248.513671 | 628.931907 | EMIT | 2023-08-07T07:35:11+00:00 | PS_waste_1 | Waste | Gaza | EMIT_L1B_RAD_001_20230807T073511_2321905_029_PS_waste_1 |
EMIT_L1B_RAD_001_20230929T122534_2327208_039_Alg_E_2 | -5.004313 | -1.589157 | 5.250578 | 100 | EMIT_L1B_RAD_001_20230929T122534_2327208_039 | false | 0 | 0 | EMIT | 2023-09-29T12:25:34+00:00 | Alg_E_2 | Oil and Gas | Algeria | EMIT_L1B_RAD_001_20230929T122534_2327208_039_Alg_E_2 |
EMIT_L1B_RAD_001_20230817T105803_2322907_016_EMIT_0299 | 2.194366 | -0.613266 | 2.278451 | 100 | EMIT_L1B_RAD_001_20230817T105803_2322907_016 | true | 1,308.554459 | 662.804367 | EMIT | 2023-08-17T10:58:03+00:00 | EMIT_0299 | Oil and Gas | Syrian Arab Republic | EMIT_L1B_RAD_001_20230817T105803_2322907_016_EMIT_0299 |
EMIT_L1B_RAD_001_20231018T083742_2329106_018_Tc_7_3 | 5.410706 | -1.217789 | 5.546057 | 100 | EMIT_L1B_RAD_001_20231018T083742_2329106_018 | false | 0 | 0 | EMIT | 2023-10-18T08:37:42+00:00 | Tc_7_3 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20231018T083742_2329106_018_Tc_7_3 |
EMIT_L1B_RAD_001_20230503T022051_2312301_011_AUS_1ttw2sb1j | 0.275467 | 4.521988 | 4.53037 | 99.97264 | EMIT_L1B_RAD_001_20230503T022051_2312301_011 | false | 0 | 0 | EMIT | 2023-05-03T02:20:51+00:00 | AUS_1ttw2sb1j | Oil and Gas | Australia | EMIT_L1B_RAD_001_20230503T022051_2312301_011_AUS_1ttw2sb1j |
EMIT_L1B_RAD_001_20230923T214649_2326614_012_PB_70 | 1.182648 | 1.411865 | 1.841743 | 100 | EMIT_L1B_RAD_001_20230923T214649_2326614_012 | false | 0 | 0 | EMIT | 2023-09-23T21:46:49+00:00 | PB_70 | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20230923T214649_2326614_012_PB_70 |
EMIT_L1B_RAD_001_20230215T063626_2304604_003_EMIT_CH4_PlumeComplex-643 | 3.604736 | 1.670929 | 3.973176 | 100 | EMIT_L1B_RAD_001_20230215T063626_2304604_003 | true | 9,628.072767 | 4,805.270376 | EMIT | 2023-02-15T06:36:26+00:00 | EMIT_CH4_PlumeComplex-643 | Oil and Gas | China | EMIT_L1B_RAD_001_20230215T063626_2304604_003_EMIT_CH4_PlumeComplex-643 |
EMIT_L1B_RAD_001_20231025T061531_2329804_012_Te_M_5 | 1.787476 | 5.170731 | 5.470971 | 64.128868 | EMIT_L1B_RAD_001_20231025T061531_2329804_012 | true | 42,299.205993 | 21,162.797109 | EMIT | 2023-10-25T06:15:31+00:00 | Te_M_5 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20231025T061531_2329804_012_Te_M_5 |
EMIT_L1B_RAD_001_20231027T061434_2330004_003_IRN_waste_2 | 1.156342 | -0.706635 | 1.35516 | 100 | EMIT_L1B_RAD_001_20231027T061434_2330004_003 | true | 1,513.811729 | 762.704897 | EMIT | 2023-10-27T06:14:34+00:00 | IRN_waste_2 | Waste | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20231027T061434_2330004_003_IRN_waste_2 |
EMIT_L1B_RAD_001_20230220T194324_2305113_021_EMIT_0207 | 0.065857 | -0.780869 | 0.783641 | 100 | EMIT_L1B_RAD_001_20230220T194324_2305113_021 | true | 1,254.000545 | 630.199664 | EMIT | 2023-02-20T19:43:24+00:00 | EMIT_0207 | Waste | United States of America | EMIT_L1B_RAD_001_20230220T194324_2305113_021_EMIT_0207 |
EMIT_L1B_RAD_001_20230214T072457_2304505_019_EMIT_0156 | 2.588118 | 1.446045 | 2.964692 | 100 | EMIT_L1B_RAD_001_20230214T072457_2304505_019 | false | 0 | 0 | EMIT | 2023-02-14T07:24:57+00:00 | EMIT_0156 | unknown | China | EMIT_L1B_RAD_001_20230214T072457_2304505_019_EMIT_0156 |
EMIT_L1B_RAD_001_20250211T205412_2504214_050_COL_wytnk5cpb | 0.387635 | -0.431272 | 0.579876 | 100 | EMIT_L1B_RAD_001_20250211T205412_2504214_050 | false | 0 | 0 | EMIT | 2025-02-11T20:54:12+00:00 | COL_wytnk5cpb | Oil and Gas | Colombia | EMIT_L1B_RAD_001_20250211T205412_2504214_050_COL_wytnk5cpb |
EMIT_L1B_RAD_001_20231021T183917_2329412_015_USA_hnit9hqzm | 1.307825 | -0.411377 | 1.370999 | 100 | EMIT_L1B_RAD_001_20231021T183917_2329412_015 | false | 0 | 0 | EMIT | 2023-10-21T18:39:17+00:00 | USA_hnit9hqzm | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20231021T183917_2329412_015_USA_hnit9hqzm |
EMIT_L1B_RAD_001_20230424T104104_2311407_016_EMIT_CH4_PlumeComplex-878 | 0.017731 | -1.146164 | 1.146301 | 100 | EMIT_L1B_RAD_001_20230424T104104_2311407_016 | false | 0 | 0 | EMIT | 2023-04-24T10:41:04+00:00 | EMIT_CH4_PlumeComplex-878 | unknown | Libya | EMIT_L1B_RAD_001_20230424T104104_2311407_016_EMIT_CH4_PlumeComplex-878 |
EMIT_L1B_RAD_001_20230605T080026_2315606_045_EMIT_CH4_PlumeComplex-5 | -0.443192 | -0.847916 | 0.956755 | 100 | EMIT_L1B_RAD_001_20230605T080026_2315606_045 | true | 11,737.009738 | 5,882.874532 | EMIT | 2023-06-05T08:00:26+00:00 | EMIT_CH4_PlumeComplex-5 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230605T080026_2315606_045_EMIT_CH4_PlumeComplex-5 |
EMIT_L1B_RAD_001_20230220T054540_2305104_025_EMIT_0201 | 1.177002 | -2.089706 | 2.398376 | 100 | EMIT_L1B_RAD_001_20230220T054540_2305104_025 | true | 2,575.857181 | 1,310.231718 | EMIT | 2023-02-20T05:45:40+00:00 | EMIT_0201 | Oil and Gas | China | EMIT_L1B_RAD_001_20230220T054540_2305104_025_EMIT_0201 |
EMIT_L1B_RAD_001_20230223T063057_2305404_010_EMIT_CH4_PlumeComplex-113 | 1.656952 | 1.422586 | 2.183859 | 100 | EMIT_L1B_RAD_001_20230223T063057_2305404_010 | true | 10,694.100703 | 5,355.504076 | EMIT | 2023-02-23T06:30:57+00:00 | EMIT_CH4_PlumeComplex-113 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230223T063057_2305404_010_EMIT_CH4_PlumeComplex-113 |
EMIT_L1B_RAD_001_20230426T073118_2311605_005_EMIT_0226 | -1.889404 | 0.699615 | 2.014773 | 100 | EMIT_L1B_RAD_001_20230426T073118_2311605_005 | false | 0 | 0 | EMIT | 2023-04-26T07:31:18+00:00 | EMIT_0226 | unknown | Iraq | EMIT_L1B_RAD_001_20230426T073118_2311605_005_EMIT_0226 |
EMIT_L1B_RAD_001_20230310T073219_2306905_014_Namibia_Landfill_1 | -1.575744 | -0.071847 | 1.577381 | 100 | EMIT_L1B_RAD_001_20230310T073219_2306905_014 | false | 0 | 0 | EMIT | 2023-03-10T07:32:19+00:00 | Namibia_Landfill_1 | Waste | Namibia | EMIT_L1B_RAD_001_20230310T073219_2306905_014_Namibia_Landfill_1 |
EMIT_L1B_RAD_001_20230620T084414_2317106_010_EMIT_0315 | 1.489105 | -1.764542 | 2.308905 | 100 | EMIT_L1B_RAD_001_20230620T084414_2317106_010 | true | 3,812.636719 | 1,984.427556 | EMIT | 2023-06-20T08:44:14+00:00 | EMIT_0315 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230620T084414_2317106_010_EMIT_0315 |
EMIT_L1B_RAD_001_20230904T013414_2324701_002_EMIT_0241 | 2.923691 | 1.326721 | 3.210632 | 100 | EMIT_L1B_RAD_001_20230904T013414_2324701_002 | true | 6,798.345362 | 3,415.845988 | EMIT | 2023-09-04T01:34:14+00:00 | EMIT_0241 | Waste | Thailand | EMIT_L1B_RAD_001_20230904T013414_2324701_002_EMIT_0241 |
EMIT_L1B_RAD_001_20230617T110818_2316807_015_EMIT_CH4_PlumeComplex-496 | 6.805023 | -2.214433 | 7.15626 | 100 | EMIT_L1B_RAD_001_20230617T110818_2316807_015 | false | 0 | 0 | EMIT | 2023-06-17T11:08:18+00:00 | EMIT_CH4_PlumeComplex-496 | Oil and Gas | Syrian Arab Republic | EMIT_L1B_RAD_001_20230617T110818_2316807_015_EMIT_CH4_PlumeComplex-496 |
EMIT_L1B_RAD_001_20231222T083129_2335606_017_EMIT_CH4_PlumeComplex-262 | 0.095825 | 1.760651 | 1.763256 | 100 | EMIT_L1B_RAD_001_20231222T083129_2335606_017 | false | 0 | 0 | EMIT | 2023-12-22T08:31:29+00:00 | EMIT_CH4_PlumeComplex-262 | Oil and Gas | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20231222T083129_2335606_017_EMIT_CH4_PlumeComplex-262 |
EMIT_L1B_RAD_001_20250212T134723_2504309_017_DZA_m72f5cyc5 | -1.699783 | -1.242435 | 2.105447 | 100 | EMIT_L1B_RAD_001_20250212T134723_2504309_017 | false | 0 | 0 | EMIT | 2025-02-12T13:47:23+00:00 | DZA_m72f5cyc5 | Oil and Gas | Algeria | EMIT_L1B_RAD_001_20250212T134723_2504309_017_DZA_m72f5cyc5 |
EMIT_L1B_RAD_001_20230404T090031_2309406_048_EMIT_0299 | -3.366653 | 5.186691 | 6.183536 | 100 | EMIT_L1B_RAD_001_20230404T090031_2309406_048 | true | 3,157.757671 | 1,634.317403 | EMIT | 2023-04-04T09:00:31+00:00 | EMIT_0299 | Oil and Gas | Syrian Arab Republic | EMIT_L1B_RAD_001_20230404T090031_2309406_048_EMIT_0299 |
EMIT_L1B_RAD_001_20231224T174533_2335812_006_PB_EnMAP_1 | 6.367203 | -1.810013 | 6.619473 | 100 | EMIT_L1B_RAD_001_20231224T174533_2335812_006 | false | 0 | 0 | EMIT | 2023-12-24T17:45:33+00:00 | PB_EnMAP_1 | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20231224T174533_2335812_006_PB_EnMAP_1 |
EMIT_L1B_RAD_001_20230330T190724_2308913_009_EMIT_0275 | 1.134079 | -0.186905 | 1.149377 | 100 | EMIT_L1B_RAD_001_20230330T190724_2308913_009 | false | 0 | 0 | EMIT | 2023-03-30T19:07:24+00:00 | EMIT_0275 | Waste | United States of America | EMIT_L1B_RAD_001_20230330T190724_2308913_009_EMIT_0275 |
EMIT_L1B_RAD_001_20220817T140624_2222909_017_EMIT_CH4_PlumeComplex-150 | -4.051071 | 1.0198 | 4.17746 | 100 | EMIT_L1B_RAD_001_20220817T140624_2222909_017 | true | 4,951.94519 | 2,544.429817 | EMIT | 2022-08-17T14:06:24+00:00 | EMIT_CH4_PlumeComplex-150 | Oil and Gas | Algeria | EMIT_L1B_RAD_001_20220817T140624_2222909_017_EMIT_CH4_PlumeComplex-150 |
EMIT_L1B_RAD_001_20230607T062333_2315804_033_EMIT_CH4_PlumeComplex-2463 | 4.190979 | -4.207733 | 5.938798 | 98.556143 | EMIT_L1B_RAD_001_20230607T062333_2315804_033 | true | 41,760.546817 | 21,007.761158 | EMIT | 2023-06-07T06:23:33+00:00 | EMIT_CH4_PlumeComplex-2463 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230607T062333_2315804_033_EMIT_CH4_PlumeComplex-2463 |
EMIT_L1B_RAD_001_20230822T114434_2323408_016_EMIT_CH4_PlumeComplex-1097 | -3.67366 | -3.286026 | 4.928869 | 100 | EMIT_L1B_RAD_001_20230822T114434_2323408_016 | false | 0 | 0 | EMIT | 2023-08-22T11:44:34+00:00 | EMIT_CH4_PlumeComplex-1097 | Oil and Gas | Algeria | EMIT_L1B_RAD_001_20230822T114434_2323408_016_EMIT_CH4_PlumeComplex-1097 |
EMIT_L1B_RAD_001_20230730T091725_2321106_043_EMIT_0035 | -0.500793 | -7.493496 | 7.510211 | 100 | EMIT_L1B_RAD_001_20230730T091725_2321106_043 | false | 0 | 0 | EMIT | 2023-07-30T09:17:25+00:00 | EMIT_0035 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230730T091725_2321106_043_EMIT_0035 |
EMIT_L1B_RAD_001_20231128T234458_2333215_021_AUS_coal_31 | 1.639908 | -2.485718 | 2.977934 | 100 | EMIT_L1B_RAD_001_20231128T234458_2333215_021 | false | 0 | 0 | EMIT | 2023-11-28T23:44:58+00:00 | AUS_coal_31 | Coal | Australia | EMIT_L1B_RAD_001_20231128T234458_2333215_021_AUS_coal_31 |
EMIT_L1B_RAD_001_20231127T091957_2333106_024_EMIT_CH4_PlumeComplex-3501 | 3.297424 | -0.295792 | 3.310665 | 68.983234 | EMIT_L1B_RAD_001_20231127T091957_2333106_024 | false | 0 | 0 | EMIT | 2023-11-27T09:19:57+00:00 | EMIT_CH4_PlumeComplex-3501 | Waste | United Arab Emirates | EMIT_L1B_RAD_001_20231127T091957_2333106_024_EMIT_CH4_PlumeComplex-3501 |
EMIT_L1B_RAD_001_20230929T122645_2327208_045_TUN_msuzqczi1 | 1.762788 | 1.618134 | 2.39286 | 100 | EMIT_L1B_RAD_001_20230929T122645_2327208_045 | false | 0 | 0 | EMIT | 2023-09-29T12:26:45+00:00 | TUN_msuzqczi1 | Waste | Tunisia | EMIT_L1B_RAD_001_20230929T122645_2327208_045_TUN_msuzqczi1 |
EMIT_L1B_RAD_001_20231201T092014_2333506_043_IRQ_mk1chpsy0 | 1.065674 | -1.677048 | 1.986995 | 100 | EMIT_L1B_RAD_001_20231201T092014_2333506_043 | false | 0 | 0 | EMIT | 2023-12-01T09:20:14+00:00 | IRQ_mk1chpsy0 | Oil and Gas | Iraq | EMIT_L1B_RAD_001_20231201T092014_2333506_043_IRQ_mk1chpsy0 |
EMIT_L1B_RAD_001_20230729T100252_2321007_036_EMIT_0192 | 3.552948 | 1.327576 | 3.792874 | 100 | EMIT_L1B_RAD_001_20230729T100252_2321007_036 | false | 0 | 0 | EMIT | 2023-07-29T10:02:52+00:00 | EMIT_0192 | Oil and Gas | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20230729T100252_2321007_036_EMIT_0192 |
EMIT_L1B_RAD_001_20230422T073512_2311205_020_T_EMIT_133 | -5.462387 | 4.829559 | 7.291249 | 100 | EMIT_L1B_RAD_001_20230422T073512_2311205_020 | false | 0 | 0 | EMIT | 2023-04-22T07:35:12+00:00 | T_EMIT_133 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230422T073512_2311205_020_T_EMIT_133 |
EMIT_L1B_RAD_001_20231126T142711_2333009_049_EMIT_CH4_PlumeComplex-752 | -1.104019 | -2.812973 | 3.021866 | 100 | EMIT_L1B_RAD_001_20231126T142711_2333009_049 | false | 0 | 0 | EMIT | 2023-11-26T14:27:11+00:00 | EMIT_CH4_PlumeComplex-752 | unknown | Argentina | EMIT_L1B_RAD_001_20231126T142711_2333009_049_EMIT_CH4_PlumeComplex-752 |
EMIT_L1B_RAD_001_20230616T211355_2316714_026_PB_8 | 7.368134 | 1.393312 | 7.498714 | 100 | EMIT_L1B_RAD_001_20230616T211355_2316714_026 | false | 0 | 0 | EMIT | 2023-06-16T21:13:55+00:00 | PB_8 | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20230616T211355_2316714_026_PB_8 |
EMIT_L1B_RAD_001_20230427T064416_2311704_004_EMIT_CH4_PlumeComplex-3054 | -0.837509 | -1.285733 | 1.534448 | 100 | EMIT_L1B_RAD_001_20230427T064416_2311704_004 | true | 1,616.521632 | 816.375787 | EMIT | 2023-04-27T06:44:16+00:00 | EMIT_CH4_PlumeComplex-3054 | Waste | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20230427T064416_2311704_004_EMIT_CH4_PlumeComplex-3054 |
EMIT_L1B_RAD_001_20250212T121936_2504308_032_EMIT_CH4_PlumeComplex-605 | 3.158042 | 1.523579 | 3.506355 | 100 | EMIT_L1B_RAD_001_20250212T121936_2504308_032 | true | 17,723.367284 | 8,887.708682 | EMIT | 2025-02-12T12:19:36+00:00 | EMIT_CH4_PlumeComplex-605 | Waste | Yemen | EMIT_L1B_RAD_001_20250212T121936_2504308_032_EMIT_CH4_PlumeComplex-605 |
EMIT_L1B_RAD_001_20230816T132035_2322809_020_EMIT_0268 | 0.46022 | -4.639862 | 4.66263 | 100 | EMIT_L1B_RAD_001_20230816T132035_2322809_020 | false | 0 | 0 | EMIT | 2023-08-16T13:20:35+00:00 | EMIT_0268 | Oil and Gas | Libya | EMIT_L1B_RAD_001_20230816T132035_2322809_020_EMIT_0268 |
EMIT_L1B_RAD_001_20231022T070202_2329505_007_EMIT_0029 | 1.623795 | 4.793312 | 5.060884 | 100 | EMIT_L1B_RAD_001_20231022T070202_2329505_007 | true | 15,206.793115 | 7,621.304656 | EMIT | 2023-10-22T07:02:02+00:00 | EMIT_0029 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20231022T070202_2329505_007_EMIT_0029 |
EMIT_L1B_RAD_001_20230220T054540_2305104_025_EMIT_0344 | 1.503174 | -1.56041 | 2.166659 | 100 | EMIT_L1B_RAD_001_20230220T054540_2305104_025 | false | 0 | 0 | EMIT | 2023-02-20T05:45:40+00:00 | EMIT_0344 | Oil and Gas | China | EMIT_L1B_RAD_001_20230220T054540_2305104_025_EMIT_0344 |
EMIT_L1B_RAD_001_20231229T153211_2336310_008_PARQUE_ECOLOGICO_RECICLANTE | -1.976105 | -0.228762 | 1.989302 | 100 | EMIT_L1B_RAD_001_20231229T153211_2336310_008 | true | 3,577.531114 | 1,796.504321 | EMIT | 2023-12-29T15:32:11+00:00 | PARQUE ECOLÓGICO RECICLANTE | Waste | Colombia | EMIT_L1B_RAD_001_20231229T153211_2336310_008_PARQUE_ECOLOGICO_RECICLANTE |
EMIT_L1B_RAD_001_20231224T174533_2335812_006_PB_32 | 5.8965 | -2.77681 | 6.517621 | 100 | EMIT_L1B_RAD_001_20231224T174533_2335812_006 | false | 0 | 0 | EMIT | 2023-12-24T17:45:33+00:00 | PB_32 | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20231224T174533_2335812_006_PB_32 |
EMIT_L1B_RAD_001_20220829T060913_2224104_016_EMIT_0069 | 0.919235 | 0.269516 | 0.957931 | 100 | EMIT_L1B_RAD_001_20220829T060913_2224104_016 | false | 0 | 0 | EMIT | 2022-08-29T06:09:13+00:00 | EMIT_0069 | unknown | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20220829T060913_2224104_016_EMIT_0069 |
EMIT_L1B_RAD_001_20231025T061531_2329804_012_ZY1_S_5 | 1.940796 | 4.529129 | 4.927443 | 100 | EMIT_L1B_RAD_001_20231025T061531_2329804_012 | false | 0 | 0 | EMIT | 2023-10-25T06:15:31+00:00 | ZY1_S_5 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20231025T061531_2329804_012_ZY1_S_5 |
EMIT_L1B_RAD_001_20230929T122534_2327208_039_EMIT_CH4_PlumeComplex-2609 | -5.165446 | -1.768845 | 5.459913 | 95.177377 | EMIT_L1B_RAD_001_20230929T122534_2327208_039 | false | 0 | 0 | EMIT | 2023-09-29T12:25:34+00:00 | EMIT_CH4_PlumeComplex-2609 | Oil and Gas | Algeria | EMIT_L1B_RAD_001_20230929T122534_2327208_039_EMIT_CH4_PlumeComplex-2609 |
EMIT_L1B_RAD_001_20230806T065231_2321805_039_EMIT_0328 | 2.744141 | -4.795074 | 5.524767 | 100 | EMIT_L1B_RAD_001_20230806T065231_2321805_039 | true | 3,652.693453 | 1,863.288455 | EMIT | 2023-08-06T06:52:31+00:00 | EMIT_0328 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230806T065231_2321805_039_EMIT_0328 |
EMIT_L1B_RAD_001_20230822T114422_2323408_015_EMIT_CH4_PlumeComplex-940 | -4.595535 | -1.593643 | 4.864015 | 100 | EMIT_L1B_RAD_001_20230822T114422_2323408_015 | false | 0 | 0 | EMIT | 2023-08-22T11:44:22+00:00 | EMIT_CH4_PlumeComplex-940 | Oil and Gas | Algeria | EMIT_L1B_RAD_001_20230822T114422_2323408_015_EMIT_CH4_PlumeComplex-940 |
EMIT_L1B_RAD_001_20230620T193656_2317113_024_PB_EMIT_11 | 0.414795 | -2.004067 | 2.046544 | 97.058452 | EMIT_L1B_RAD_001_20230620T193656_2317113_024 | true | 2,720.878594 | 1,369.530462 | EMIT | 2023-06-20T19:36:56+00:00 | PB_EMIT_11 | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20230620T193656_2317113_024_PB_EMIT_11 |
EMIT_L1B_RAD_001_20231226T041030_2336003_022_Au_3 | 2.565231 | -3.172714 | 4.080016 | 100 | EMIT_L1B_RAD_001_20231226T041030_2336003_022 | true | 4,752.869675 | 2,396.383886 | EMIT | 2023-12-26T04:10:30+00:00 | Au_3 | Coal | Australia | EMIT_L1B_RAD_001_20231226T041030_2336003_022_Au_3 |
EMIT_L1B_RAD_001_20230227T080610_2305805_009_EGY_mfvxxi0y4 | -4.087891 | 1.847851 | 4.486134 | 100 | EMIT_L1B_RAD_001_20230227T080610_2305805_009 | false | 0 | 0 | EMIT | 2023-02-27T08:06:10+00:00 | EGY_mfvxxi0y4 | Oil and Gas | Egypt | EMIT_L1B_RAD_001_20230227T080610_2305805_009_EGY_mfvxxi0y4 |
EMIT_L1B_RAD_001_20231125T105540_2332907_032_EMIT_CH4_PlumeComplex-548 | 0.932556 | -2.483839 | 2.653133 | 100 | EMIT_L1B_RAD_001_20231125T105540_2332907_032 | true | 9,873.199873 | 4,940.417119 | EMIT | 2023-11-25T10:55:40+00:00 | EMIT_CH4_PlumeComplex-548 | Waste | Kuwait | EMIT_L1B_RAD_001_20231125T105540_2332907_032_EMIT_CH4_PlumeComplex-548 |
EMIT_L1B_RAD_001_20230130T184923_2303013_006_EMIT_CH4_PlumeComplex-739 | -2.258591 | -0.729004 | 2.373326 | 99.802897 | EMIT_L1B_RAD_001_20230130T184923_2303013_006 | true | 6,529.713762 | 3,269.632342 | EMIT | 2023-01-30T18:49:23+00:00 | EMIT_CH4_PlumeComplex-739 | Waste | Mexico | EMIT_L1B_RAD_001_20230130T184923_2303013_006_EMIT_CH4_PlumeComplex-739 |
EMIT_L1B_RAD_001_20220826T051936_2223804_006_KAZ_fnh0idice | 0.093124 | -0.812119 | 0.81744 | 100 | EMIT_L1B_RAD_001_20220826T051936_2223804_006 | false | 0 | 0 | EMIT | 2022-08-26T05:19:36+00:00 | KAZ_fnh0idice | Waste | Kazakhstan | EMIT_L1B_RAD_001_20220826T051936_2223804_006_KAZ_fnh0idice |
EMIT_L1B_RAD_001_20230725T223017_2320615_008_EMIT_CH4_PlumeComplex-275 | 3.842545 | -1.045858 | 3.982332 | 100 | EMIT_L1B_RAD_001_20230725T223017_2320615_008 | false | 0 | 0 | EMIT | 2023-07-25T22:30:17+00:00 | EMIT_CH4_PlumeComplex-275 | Waste | United States of America | EMIT_L1B_RAD_001_20230725T223017_2320615_008_EMIT_CH4_PlumeComplex-275 |
EMIT_L1B_RAD_001_20230903T010049_2324601_010_EMIT_CH4_PlumeComplex-1659 | 0.631409 | -5.597168 | 5.63267 | 100 | EMIT_L1B_RAD_001_20230903T010049_2324601_010 | false | 0 | 0 | EMIT | 2023-09-03T01:00:49+00:00 | EMIT_CH4_PlumeComplex-1659 | unknown | Australia | EMIT_L1B_RAD_001_20230903T010049_2324601_010_EMIT_CH4_PlumeComplex-1659 |
EMIT_L1B_RAD_001_20230504T135454_2312409_002_EMIT_0098 | 1.248304 | -1.266356 | 1.778179 | 97.342995 | EMIT_L1B_RAD_001_20230504T135454_2312409_002 | true | 6,174.978228 | 3,098.422541 | EMIT | 2023-05-04T13:54:54+00:00 | EMIT_0098 | Waste | Brazil | EMIT_L1B_RAD_001_20230504T135454_2312409_002_EMIT_0098 |
EMIT_L1B_RAD_001_20231025T061543_2329804_013_EMIT_CH4_PlumeComplex-523 | 2.65271 | 4.768387 | 5.456591 | 100 | EMIT_L1B_RAD_001_20231025T061543_2329804_013 | false | 0 | 0 | EMIT | 2023-10-25T06:15:43+00:00 | EMIT_CH4_PlumeComplex-523 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20231025T061543_2329804_013_EMIT_CH4_PlumeComplex-523 |
EMIT_L1B_RAD_001_20230804T174141_2321612_016_PB_66 | -0.332031 | 4.624847 | 4.636751 | 100 | EMIT_L1B_RAD_001_20230804T174141_2321612_016 | false | 0 | 0 | EMIT | 2023-08-04T17:41:41+00:00 | PB_66 | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20230804T174141_2321612_016_PB_66 |
EMIT_L1B_RAD_001_20250219T081443_2505006_006_IRN_GW22 | 0.999184 | -0.786843 | 1.271806 | 100 | EMIT_L1B_RAD_001_20250219T081443_2505006_006 | true | 13,168.474102 | 6,594.065249 | EMIT | 2025-02-19T08:14:43+00:00 | IRN_GW22 | Oil and Gas | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20250219T081443_2505006_006_IRN_GW22 |
EMIT_L1B_RAD_001_20230204T084203_2303506_030_EGY_waste_1 | 4.914337 | -2.63707 | 5.577172 | 100 | EMIT_L1B_RAD_001_20230204T084203_2303506_030 | true | 3,953.800221 | 2,012.588717 | EMIT | 2023-02-04T08:42:03+00:00 | EGY_waste_1 | Waste | Egypt | EMIT_L1B_RAD_001_20230204T084203_2303506_030_EGY_waste_1 |
EMIT_L1B_RAD_001_20230119T040223_2301902_019_EMIT_CH4_PlumeComplex-579 | -2.409882 | 1.33902 | 2.756901 | 91.154971 | EMIT_L1B_RAD_001_20230119T040223_2301902_019 | false | 0 | 0 | EMIT | 2023-01-19T04:02:23+00:00 | EMIT_CH4_PlumeComplex-579 | Coal | Australia | EMIT_L1B_RAD_001_20230119T040223_2301902_019_EMIT_CH4_PlumeComplex-579 |
EMIT_L1B_RAD_001_20250219T081443_2505006_006_IRN_f7v1czmq7 | 0.858277 | -0.953041 | 1.282546 | 100 | EMIT_L1B_RAD_001_20250219T081443_2505006_006 | true | 13,168.474102 | 6,594.065249 | EMIT | 2025-02-19T08:14:43+00:00 | IRN_f7v1czmq7 | Oil and Gas | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20250219T081443_2505006_006_IRN_f7v1czmq7 |
EMIT_L1B_RAD_001_20230528T093855_2314807_033_EMIT_0069 | 2.24382 | -0.106415 | 2.246342 | 100 | EMIT_L1B_RAD_001_20230528T093855_2314807_033 | false | 0 | 0 | EMIT | 2023-05-28T09:38:55+00:00 | EMIT_0069 | unknown | Iran (Islamic Republic of) | EMIT_L1B_RAD_001_20230528T093855_2314807_033_EMIT_0069 |
EMIT_L1B_RAD_001_20231013T092658_2328606_012_EMIT_CH4_PlumeComplex-180 | 0.943619 | -4.808273 | 4.899991 | 100 | EMIT_L1B_RAD_001_20231013T092658_2328606_012 | false | 0 | 0 | EMIT | 2023-10-13T09:26:58+00:00 | EMIT_CH4_PlumeComplex-180 | Oil and Gas | Kazakhstan | EMIT_L1B_RAD_001_20231013T092658_2328606_012_EMIT_CH4_PlumeComplex-180 |
EMIT_L1B_RAD_001_20230317T162010_2307610_007_Ag_0006 | 10.271637 | 4.972961 | 11.412137 | 100 | EMIT_L1B_RAD_001_20230317T162010_2307610_007 | false | 0 | 0 | EMIT | 2023-03-17T16:20:10+00:00 | Ag_0006 | Oil and Gas | Argentina | EMIT_L1B_RAD_001_20230317T162010_2307610_007_Ag_0006 |
EMIT_L1B_RAD_001_20220811T042618_2222303_009_EMIT_0127 | -6.489868 | 1.095749 | 6.581721 | 100 | EMIT_L1B_RAD_001_20220811T042618_2222303_009 | false | 0 | 0 | EMIT | 2022-08-11T04:26:18+00:00 | EMIT_0127 | Oil and Gas | Oman | EMIT_L1B_RAD_001_20220811T042618_2222303_009_EMIT_0127 |
EMIT_L1B_RAD_001_20230429T050823_2311903_008_Te_M_15 | 2.658096 | -0.302381 | 2.67524 | 100 | EMIT_L1B_RAD_001_20230429T050823_2311903_008 | false | 0 | 0 | EMIT | 2023-04-29T05:08:23+00:00 | Te_M_15 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230429T050823_2311903_008_Te_M_15 |
EMIT_L1B_RAD_001_20240108T140410_2400809_007_EMIT_0101 | 0.941758 | 0.222128 | 0.9676 | 100 | EMIT_L1B_RAD_001_20240108T140410_2400809_007 | false | 0 | 0 | EMIT | 2024-01-08T14:04:10+00:00 | EMIT_0101 | Oil and Gas | Argentina | EMIT_L1B_RAD_001_20240108T140410_2400809_007_EMIT_0101 |
EMIT_L1B_RAD_001_20231002T083123_2327506_037_Iq_18 | -0.068878 | -1.35529 | 1.35704 | 100 | EMIT_L1B_RAD_001_20231002T083123_2327506_037 | false | 0 | 0 | EMIT | 2023-10-02T08:31:23+00:00 | Iq_18 | Oil and Gas | Iraq | EMIT_L1B_RAD_001_20231002T083123_2327506_037_Iq_18 |
EMIT_L1B_RAD_001_20230422T090923_2311206_010_IRQ_mk1exwj3c | 2.054138 | -1.984604 | 2.856245 | 86.366782 | EMIT_L1B_RAD_001_20230422T090923_2311206_010 | true | 2,055.936424 | 1,048.275371 | EMIT | 2023-04-22T09:09:23+00:00 | IRQ_mk1exwj3c | Waste | Iraq | EMIT_L1B_RAD_001_20230422T090923_2311206_010_IRQ_mk1exwj3c |
EMIT_L1B_RAD_001_20230611T062443_2316204_029_EMIT_CH4_PlumeComplex-742 | -2.614849 | 0.100746 | 2.616789 | 100 | EMIT_L1B_RAD_001_20230611T062443_2316204_029 | false | 0 | 0 | EMIT | 2023-06-11T06:24:43+00:00 | EMIT_CH4_PlumeComplex-742 | unknown | Kazakhstan | EMIT_L1B_RAD_001_20230611T062443_2316204_029_EMIT_CH4_PlumeComplex-742 |
EMIT_L1B_RAD_001_20230602T084738_2315306_036_Iq_24 | 6.57016 | -7.561102 | 10.016849 | 100 | EMIT_L1B_RAD_001_20230602T084738_2315306_036 | false | 0 | 0 | EMIT | 2023-06-02T08:47:38+00:00 | Iq_24 | Oil and Gas | Iraq | EMIT_L1B_RAD_001_20230602T084738_2315306_036_Iq_24 |
EMIT_L1B_RAD_001_20230216T133626_2304709_013_A_4 | -3.645233 | -0.835373 | 3.739729 | 100 | EMIT_L1B_RAD_001_20230216T133626_2304709_013 | false | 0 | 0 | EMIT | 2023-02-16T13:36:26+00:00 | A_4 | Oil and Gas | Algeria | EMIT_L1B_RAD_001_20230216T133626_2304709_013_A_4 |
EMIT_L1B_RAD_001_20230622T101902_2317307_011_EGY_CL_19 | 2.321686 | -7.259496 | 7.621713 | 83.879552 | EMIT_L1B_RAD_001_20230622T101902_2317307_011 | false | 0 | 0 | EMIT | 2023-06-22T10:19:02+00:00 | EGY_CL_19 | Oil and Gas | Egypt | EMIT_L1B_RAD_001_20230622T101902_2317307_011_EGY_CL_19 |
EMIT_L1B_RAD_001_20230601T093851_2315207_046_EMIT_0006 | 4.927124 | -4.386978 | 6.59713 | 100 | EMIT_L1B_RAD_001_20230601T093851_2315207_046 | false | 0 | 0 | EMIT | 2023-06-01T09:38:51+00:00 | EMIT_0006 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20230601T093851_2315207_046_EMIT_0006 |
EMIT_L1B_RAD_001_20230225T172325_2305611_020_EMIT_CH4_PlumeComplex-2857 | -2.520458 | 0.014241 | 2.520498 | 100 | EMIT_L1B_RAD_001_20230225T172325_2305611_020 | false | 0 | 0 | EMIT | 2023-02-25T17:23:25+00:00 | EMIT_CH4_PlumeComplex-2857 | Oil and Gas | United States of America | EMIT_L1B_RAD_001_20230225T172325_2305611_020_EMIT_CH4_PlumeComplex-2857 |
EMIT_L1B_RAD_001_20230418T090931_2310806_011_K_3 | -6.984161 | 6.669464 | 9.657135 | 100 | EMIT_L1B_RAD_001_20230418T090931_2310806_011 | false | 0 | 0 | EMIT | 2023-04-18T09:09:31+00:00 | K_3 | Oil and Gas | Kazakhstan | EMIT_L1B_RAD_001_20230418T090931_2310806_011_K_3 |
EMIT_L1B_RAD_001_20231014T101606_2328707_022_EMIT_0329 | -3.379852 | -1.42482 | 3.667903 | 100 | EMIT_L1B_RAD_001_20231014T101606_2328707_022 | true | 3,448.687642 | 1,814.494739 | EMIT | 2023-10-14T10:16:06+00:00 | EMIT_0329 | Oil and Gas | Turkmenistan | EMIT_L1B_RAD_001_20231014T101606_2328707_022_EMIT_0329 |
EMIT_L1B_RAD_001_20230821T092516_2323306_019_Iq_20 | -0.921234 | 0.812714 | 1.228485 | 100 | EMIT_L1B_RAD_001_20230821T092516_2323306_019 | false | 0 | 0 | EMIT | 2023-08-21T09:25:16+00:00 | Iq_20 | Oil and Gas | Iraq | EMIT_L1B_RAD_001_20230821T092516_2323306_019_Iq_20 |
End of preview.
MARS-Hyperspectral dataset
This repository contains the data for the work publicly presented at:
[ArXiv preprint] Růžička, Mateo-García, Irakulis-Loitxate et al., Operational machine learning for remote spectroscopic detection of CH4 point sources, arXiv preprint arXiv:2511.07719 (2025).
[Poster] Růžička, Mateo-García, Irakulis-Loitxate et al., Machine Learning Models for Multi-sensor Detection of Methane Leaks in Hyperspectral Data, June. 23-27, 2025, ESA Living Planet Symposium 2025.
Abstract
The Methane Alert and Response System (MARS), managed by the International Methane Emissions Observatory (IMEO) is a global satellite based initiative to detect and notify oil and gas methane emissions to governments and companies to swift mitigation action. Among the different satellites that MARS utilises, hyperspectral sensors such as EMIT, PRISMA and EnMAP offer an optimal trade-off between methane absorption sensitivity and spatial resolution that enables the attribution of methane plumes to individual facilities. Scanning large archives of satellite imagery to find methane plumes is a challenging task because matched filter retrievals still produce a significant amount of artifacts. Since April 2025 MARS is aided by AI models to detect potential plumes in hyperspectral images of EMIT, PRISMA and EnMAP. These detections are displayed within a QA/QC tool where analysts log in and verify or reject the detections. If the detection is recent and can be attributed to a facility in the ground a formal notification is issued to government and operators and MARS case-managers engage with the parties to trigger mitigation action.
Simply put, this repository contains the datasets used in training and evaluation of the deployed models.
Status
The paper and full repository are currently in development. More updates will follow soon!
Usage
Here we provide geotif files containing datasets built from three hyperspectral sensors (EMIT, EnMAP and PRISMA). These are split by the main folders, each sensor also contains a full-tile dataset (used for full-tile evaluation). Each of these then contains a folder per tile (either 256x256 or the full granule) corresponding to methane leak events and background locations. These are split into train/(sometimes)val/test splits using the csv files.
Each data sample has the following geo-located files (we recommend using for example QGIS to inspect these):
- plumemask.tif - binary mask (0 and 1) containing the main event label
- rgb.tif - RGB bands (extracted as single band from the hyperspectral data), also contains validity
- wmf.tif - wide matched filter following https://doi.org/10.5194/amt-17-1333-2024 (namely the "ΔXCH4(SWIR)" variant)
- mag1c.tif - mag1c matched filter following https://doi.org/10.1109/TGRS.2020.2976888 (note: not computed for all samples)
- mf.tif - basic matched filter product
- info.json - metadata about each event or background tile, notably for EMIT it contains the name of the original .nc file. Note that the 'isplume' information here refers to if the source was a plume, or other known locations (for example identified confounder areas, prior rejected plumes etc.) - as such it shouldn't be used as a flag whether the binary label contains any positive pixels (for that we recommend loading the plumemask.tif instead).
- (full tiles only) plumeinstances.tif - separated instances of multiple plumes in the single full tile (for easier visualisation)
- Downloads last month
- 2,697