Datasets:
metadata
dataset_info:
- config_name: Alberta
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 55480836258
num_examples: 9345
- name: validation
num_bytes: 10599466718
num_examples: 1727
- name: test
num_bytes: 103887942242
num_examples: 16937
- name: test_hard
num_bytes: 80360022890
num_examples: 12145
download_size: 182146467041
dataset_size: 250328268108
- config_name: British Columbia
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 83734557074
num_examples: 15782
- name: validation
num_bytes: 10315830090
num_examples: 1806
- name: test
num_bytes: 86894715987
num_examples: 15009
- name: test_hard
num_bytes: 74931604671
num_examples: 11733
download_size: 180989419816
dataset_size: 255876707822
- config_name: Manitoba
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 84358197476
num_examples: 15268
- name: validation
num_bytes: 9301383986
num_examples: 1630
- name: test
num_bytes: 12721487976
num_examples: 2208
- name: test_hard
num_bytes: 9968878911
num_examples: 1573
download_size: 81346797144
dataset_size: 116349948349
- config_name: New Brunswick
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 65509168
num_examples: 13
- name: test
num_bytes: 130222776
num_examples: 27
- name: test_hard
num_bytes: 102201384
num_examples: 21
download_size: 201327318
dataset_size: 297933328
- config_name: Newfoundland and Labrador
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 204066944
num_examples: 44
- name: validation
num_bytes: 487933360
num_examples: 106
- name: test
num_bytes: 1239915496
num_examples: 244
- name: test_hard
num_bytes: 837599760
num_examples: 162
download_size: 1894033772
dataset_size: 2769515560
- config_name: Northwest Territories
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 50120410416
num_examples: 8827
- name: validation
num_bytes: 34227283104
num_examples: 4587
- name: test
num_bytes: 135796615632
num_examples: 18166
- name: test_hard
num_bytes: 127897865072
num_examples: 16202
download_size: 240813583009
dataset_size: 348042174224
- config_name: Nova Scotia
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 1873149706
num_examples: 383
- name: validation
num_bytes: 129033950
num_examples: 25
- name: test
num_bytes: 2189598034
num_examples: 431
- name: test_hard
num_bytes: 1864190520
num_examples: 344
download_size: 3211090615
dataset_size: 6055972210
- config_name: Nunavut
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 212416320
num_examples: 36
- name: validation
num_bytes: 133414048
num_examples: 16
- name: test
num_bytes: 703990044
num_examples: 90
- name: test_hard
num_bytes: 371022436
num_examples: 50
download_size: 959774183
dataset_size: 1420842848
- config_name: Ontario
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 50173405248
num_examples: 9204
- name: validation
num_bytes: 319608130
num_examples: 61
- name: test
num_bytes: 14784252836
num_examples: 2750
- name: test_hard
num_bytes: 12077893578
num_examples: 2109
download_size: 53310279464
dataset_size: 77355159792
- config_name: Quebec
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 16276938765
num_examples: 3141
- name: validation
num_bytes: 1894999008
num_examples: 376
- name: test
num_bytes: 93526094985
num_examples: 18729
- name: test_hard
num_bytes: 74925296627
num_examples: 13955
download_size: 128253406435
dataset_size: 186623329385
- config_name: Saskatchewan
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 66665222991
num_examples: 11761
- name: validation
num_bytes: 12603628092
num_examples: 2148
- name: test
num_bytes: 50475601812
num_examples: 8340
- name: test_hard
num_bytes: 39287756712
num_examples: 5928
download_size: 120718722171
dataset_size: 169032209607
- config_name: Yukon
features:
- name: date
dtype: timestamp[s]
- name: doy
sequence: int64
- name: 10x
sequence:
array3_d:
shape:
- 4
- 264
- 264
dtype: uint8
- name: 20x
sequence:
array3_d:
shape:
- 6
- 132
- 132
dtype: uint8
- name: 60x
sequence:
array3_d:
shape:
- 3
- 44
- 44
dtype: uint8
- name: loc
dtype:
array3_d:
shape:
- 2
- 264
- 264
dtype: float32
- name: labels
dtype:
array2_d:
shape:
- 264
- 264
dtype: uint8
- name: tab_cds
dtype:
array2_d:
shape:
- 8
- 6
dtype: float32
- name: tab_era5
dtype:
array2_d:
shape:
- 8
- 45
dtype: float32
- name: tab_modis
dtype:
array2_d:
shape:
- 8
- 7
dtype: float32
- name: env_cds
dtype:
array4_d:
shape:
- 8
- 6
- 13
- 13
dtype: float32
- name: env_cds_loc
dtype:
array3_d:
shape:
- 13
- 13
- 2
dtype: float32
- name: env_era5
dtype:
array4_d:
shape:
- 8
- 45
- 32
- 32
dtype: float32
- name: env_era5_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_modis11
dtype:
array4_d:
shape:
- 8
- 3
- 16
- 16
dtype: float32
- name: env_modis11_loc
dtype:
array3_d:
shape:
- 16
- 16
- 2
dtype: float32
- name: env_modis13_15
dtype:
array4_d:
shape:
- 8
- 4
- 32
- 32
dtype: float32
- name: env_modis13_15_loc
dtype:
array3_d:
shape:
- 32
- 32
- 2
dtype: float32
- name: env_doy
sequence: int64
- name: region
dtype: string
- name: tile_id
dtype: int32
- name: file_id
dtype: string
- name: fwi
dtype: float32
splits:
- name: train
num_bytes: 23689097608
num_examples: 4226
- name: validation
num_bytes: 10380885424
num_examples: 1847
- name: test
num_bytes: 15896916432
num_examples: 2511
- name: test_hard
num_bytes: 15158568432
num_examples: 2184
download_size: 44783265265
dataset_size: 65125467896
configs:
- config_name: Alberta
data_files:
- split: train
path: Alberta/train-*
- split: validation
path: Alberta/validation-*
- split: test
path: Alberta/test-*
- split: test_hard
path: Alberta/test_hard-*
- config_name: British Columbia
data_files:
- split: train
path: British Columbia/train-*
- split: validation
path: British Columbia/validation-*
- split: test
path: British Columbia/test-*
- split: test_hard
path: British Columbia/test_hard-*
- config_name: Manitoba
data_files:
- split: train
path: Manitoba/train-*
- split: validation
path: Manitoba/validation-*
- split: test
path: Manitoba/test-*
- split: test_hard
path: Manitoba/test_hard-*
- config_name: New Brunswick
data_files:
- split: train
path: New Brunswick/train-*
- split: test
path: New Brunswick/test-*
- split: test_hard
path: New Brunswick/test_hard-*
- config_name: Newfoundland and Labrador
data_files:
- split: train
path: Newfoundland and Labrador/train-*
- split: validation
path: Newfoundland and Labrador/validation-*
- split: test
path: Newfoundland and Labrador/test-*
- split: test_hard
path: Newfoundland and Labrador/test_hard-*
- config_name: Northwest Territories
data_files:
- split: train
path: Northwest Territories/train-*
- split: validation
path: Northwest Territories/validation-*
- split: test
path: Northwest Territories/test-*
- split: test_hard
path: Northwest Territories/test_hard-*
- config_name: Nova Scotia
data_files:
- split: train
path: Nova Scotia/train-*
- split: validation
path: Nova Scotia/validation-*
- split: test
path: Nova Scotia/test-*
- split: test_hard
path: Nova Scotia/test_hard-*
- config_name: Nunavut
data_files:
- split: train
path: Nunavut/train-*
- split: validation
path: Nunavut/validation-*
- split: test
path: Nunavut/test-*
- split: test_hard
path: Nunavut/test_hard-*
- config_name: Ontario
data_files:
- split: train
path: Ontario/train-*
- split: validation
path: Ontario/validation-*
- split: test
path: Ontario/test-*
- split: test_hard
path: Ontario/test_hard-*
- config_name: Quebec
data_files:
- split: train
path: Quebec/train-*
- split: validation
path: Quebec/validation-*
- split: test
path: Quebec/test-*
- split: test_hard
path: Quebec/test_hard-*
- config_name: Saskatchewan
data_files:
- split: train
path: Saskatchewan/train-*
- split: validation
path: Saskatchewan/validation-*
- split: test
path: Saskatchewan/test-*
- split: test_hard
path: Saskatchewan/test_hard-*
- config_name: Yukon
data_files:
- split: train
path: Yukon/train-*
- split: validation
path: Yukon/validation-*
- split: test
path: Yukon/test-*
- split: test_hard
path: Yukon/test_hard-*
license: mit
task_categories:
- image-segmentation
tags:
- environment
- wildfire
size_categories:
- 100K<n<1M
Dataset Card for CanadaFireSat 🔥🛰️
In this benchmark, we investigate the potential of deep learning with multiple modalities for high-resolution wildfire forecasting. Leveraging different data settings across two types of model architectures: CNN-based and ViT-based.
- 📝 Paper on ArXiv
- 💿 Dataset repository on GitHub
- 🤖 Model repository on GitHub & Weights on Hugging Face
📝 Summary Representation
The main use of this dataset is to push for the development of algorithms towards high-resolution wildfire forecasting via multi-modal learning. Indeed, we show the potential through our experiments of models trained on satellite image time series (Sentinel-2) and with environmental predictors (ERA5, MODIS, FWI). We hope to emulate the community to benchmark their EO and climate foundation models on CanadaFireSat to investigate their downstream fine-tuning capabilities on this complex extreme event forecasting task.
Sources
We describe below the different sources necessary to build the CanadaFireSat benchmark.
🔥📍 Fire Polygons Source
- 💻 National Burned Area Composite (NBAC 🇨🇦): Polygons Shapefile downloaded from CWFIS Datamart
- 📅 Filter fires since 2015 aligning with Sentinel-2 imagery availability
- 🛑 No restrictions are applied on ignition source or other metadata
- ➕ Spatial aggregation: Fires are mapped to a 2.8 km × 2.8 km grid | Temporal aggregation into 8-day windows
🛰️🗺️ Satellite Image Time Series Source
- 🛰️ Sentinel-2 (S2) Level-1C Satellite Imagery (2015–2023) from Google Earth Engine
- 🗺️ For each grid cell (2.8 km × 2.8 km): Collect cloud-free S2 images (≤ 40% cloud cover) over a 64-day period before prediction
- ⚠️ We discard samples with: Fewer than 3 valid images | Less than 40 days of coverage
🌦️🌲 Environmental Predictors
- 🌡️ Hydrometeorological Drivers: Key variables like temperature, precipitation, soil moisture, and humidity from ERA5-Land (11 km, available on Google Earth Engine) and MODIS11 (1 km, available on Google Earth Engine), aggregated over 8-day windows using mean, max, and min values.
- 🌿 Vegetation Indices (MODIS13 and MODIS15): NDVI, EVI, LAI, and FPAR (500 m) captured in 8 or 16-day composites, informing on vegetation state.
- 🔥 Fire Danger Metrics (CEMS previously on CDS): Fire Weather Index and Drought Code from the Canadian FWI system (0.25° resolution).
- 🕒 For each sample, we gather predictor data from 64 days prior to reflect pre-fire conditions.
🏞️ Land Cover
- ⛔️ Exclusively used for adversarial sampling and post-training analysis.
- 💾 Data extracted is the 2020 North American Land Cover 30-meter dataset, produced as part of the North American Land Change Monitoring System (NALCMS) (available on Google Earth Engine)
📷 Outputs
📊 CanadaFireSat Dataset Statistics (Without Test Hard):
| Statistic | Value |
|---|---|
| Total Samples | 177,801 |
| Target Spatial Resolution | 100 m |
| Region Coverage | Canada |
| Temporal Coverage | 2016 - 2023 |
| Sample Area Size | 2.64 km × 2.64 km |
| Fire Occurrence Rate | 39% of samples |
| Total Fire Patches | 16% of patches |
| Training Set (2016–2021) | 78,030 samples |
| Validation Set (2022) | 14,329 samples |
| Test Set (2023) | 85,442 samples |
| Sentinel-2 Temporal Median Coverage | 55 days (8 images) |
| Number of Environmental Predictors | 58 |
| Data Sources | ERA5, MODIS, CEMS |
📍 Samples Localisation:
Figure 1: Spatial distribution of positive (left) and negative (right) wildfire samples.
🛰️ Example of S2 time series:
Figure 2: Row 1-3 Samples of Sentinel-2 input time series for 4 locations in Canada, with only the RGB bands with rescaled intensity. Row 4 Sentinel-2 images after the fire occurred. Row 5 Fire polygons used as labels with the Sentinel-2 images post-fire.
Dataset Structure
| Name | Type | Shape | Description |
|---|---|---|---|
date |
timestamp[s] |
- | Fire Date |
doy |
sequence<int64> |
- | Sentinel-2 Tiles Day of the Year |
10x |
sequence<array3_d> |
(4, 264, 264) | Sentinel-2 10m bands |
20x |
sequence<array3_d> |
(6, 132, 132) | Sentinel-2 20m bands |
60x |
sequence<array3_d> |
(3, 44, 44) | Sentinel-2 60m bands |
loc |
array3_d<float32> |
(2, 264, 264) | Latitude and Longitude grid |
labels |
array2_d<uint8> |
(264, 264) | Fire binary label mask |
tab_cds |
array2_d<float32> |
(8, 6) | Tabular CDS variables |
tab_era5 |
array2_d<float32> |
(8, 45) | Tabular ERA5 variables |
tab_modis |
array2_d<float32> |
(8, 7) | Tabular MODIS products |
env_cds |
array4_d<float32> |
(8, 6, 13, 13) | Spatial CDS variables |
env_cds_loc |
array3_d<float32> |
(13, 13, 2) | Grid coordinates for CDS |
env_era5 |
array4_d<float32> |
(8, 45, 32, 32) | Spatial ERA5 variables |
env_era5_loc |
array3_d<float32> |
(32, 32, 2) | Grid coordinates for ERA5 |
env_modis11 |
array4_d<float32> |
(8, 3, 16, 16) | Spatial MODIS11 variables |
env_modis11_loc |
array3_d<float32> |
(16, 16, 2) | Grid coordinates for MODIS11 |
env_modis13_15 |
array4_d<float32> |
(8, 4, 32, 32) | Spatial MODIS13/15 variables |
env_modis13_15_loc |
array3_d<float32> |
(32, 32, 2) | Grid coordinates for MODIS13/15) |
env_doy |
sequence<int64> |
- | Environment Variables Day of the Year |
region |
string |
- | Canadian Province or Territory |
tile_id |
int32 |
- | Tile identifier |
file_id |
string |
- | Unique file identifier |
fwi |
float32 |
- | Tile Fire Weather Index |
Citation
The paper is currently under review with a preprint available on ArXiv.
@article{porta2025canadafiresat,
title={CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities},
author={Porta, Hugo and Dalsasso, Emanuele and McCarty, Jessica L and Tuia, Devis},
journal={arXiv preprint arXiv:2506.08690},
year={2025}
}
Contacts & Information
- Curated by: Hugo Porta
- Contact Email: hugo.porta@epfl.ch
- Shared by: ECEO Lab
- License: MiT License