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chip_id
stringlengths
26
26
event_id
stringlengths
14
14
rank
int64
1
5
source
stringclasses
1 value
tier
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1 value
continent
stringclasses
11 values
country
stringclasses
62 values
place
stringclasses
62 values
event_date_start
stringdate
2020-01-01 00:00:00
2025-12-14 00:00:00
event_date_end
stringdate
2020-01-20 00:00:00
2025-12-30 00:00:00
crs
stringclasses
43 values
res_m
int64
10
10
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int64
512
512
cropland_frac
float64
0.2
1
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float64
0
0.96
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float64
0.01
0.99
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1.41k
259k
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float64
1
3.91
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float64
-120.24
147
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float64
-38.49
56.1
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float64
-120.17
147
max_lat
float64
-38.45
56.1
hazard
stringclasses
1 value
shard
stringclasses
154 values
has_s1
bool
2 classes
phenology_stage
stringclasses
4 values
qc_verdict
stringclasses
6 values
MC202000392449_r0065_c0134
MC202000392449
2
mcd64-cluster
A
Africa
Benin
Benin
2020-02-01
2020-02-28
EPSG:32631
10
512
0.4763
0
0.4048
106,125
2.64
2.581529
7.064411
2.627931
7.110764
Burnt
burnt-000100.tar
true
dormant
clean
MC202000392449_r0067_c0187
MC202000392449
5
mcd64-cluster
A
Africa
Benin
Benin
2020-02-01
2020-02-28
EPSG:32631
10
512
0.4629
0
0.3248
85,138
2.7
2.629526
7.062642
2.675923
7.108991
Burnt
burnt-000055.tar
true
dormant
clean
MC202000392449_r0079_c0239
MC202000392449
1
mcd64-cluster
A
Africa
Benin
Benin
2020-02-01
2020-02-28
EPSG:32631
10
512
0.6769
0.0008
0.5907
154,858
3.04
2.676623
7.051822
2.723015
7.098167
Burnt
burnt-000115.tar
true
dormant
minor
MC202000392449_r0107_c0303
MC202000392449
4
mcd64-cluster
A
Africa
Benin
Benin
2020-02-01
2020-02-28
EPSG:32631
10
512
0.3687
0
0.3547
92,989
3.12
2.734593
7.02653
2.780977
7.072869
Burnt
burnt-000057.tar
true
dormant
clean
MC202000392449_r0130_c0205
MC202000392449
3
mcd64-cluster
A
Africa
Benin
Benin
2020-02-01
2020-02-28
EPSG:32631
10
512
0.4557
0.057
0.3739
98,030
2.93
2.645869
7.005666
2.69226
7.052014
Burnt
burnt-000034.tar
true
dormant
minor
MC202000946606_r0025_c0026
MC202000946606
4
mcd64-cluster
A
EastAsia
Korea, North
Korea, North
2020-03-01
2020-03-28
EPSG:32651
10
512
0.6221
0
0.062
16,241
3.07
124.183236
39.939571
124.243987
39.986319
Burnt
burnt-000150.tar
true
dormant
clean
MC202000946606_r0025_c0078
MC202000946606
3
mcd64-cluster
A
EastAsia
Korea, North
Korea, North
2020-03-01
2020-03-28
EPSG:32651
10
512
0.7966
0
0.393
103,012
3.47
124.244088
39.938903
124.304878
39.985681
Burnt
burnt-000124.tar
true
dormant
minor
MC202000946606_r0077_c0052
MC202000946606
1
mcd64-cluster
A
EastAsia
Korea, North
Korea, North
2020-03-01
2020-03-28
EPSG:32651
10
512
0.8281
0
0.7374
193,311
2.72
124.212835
39.892401
124.273563
39.939163
Burnt
burnt-000130.tar
true
dormant
clean
MC202000946606_r0128_c0052
MC202000946606
2
mcd64-cluster
A
EastAsia
Korea, North
Korea, North
2020-03-01
2020-03-28
EPSG:32651
10
512
0.7462
0
0.5391
141,317
2.4
124.212026
39.846461
124.272712
39.893223
Burnt
burnt-000002.tar
true
dormant
clean
MC202000981039_r0027_c0025
MC202000981039
3
mcd64-cluster
A
Africa
Zambia
Zambia
2020-08-02
2020-08-29
EPSG:32735
10
512
0.342
0
0.0521
13,655
1.43
29.629115
-14.061481
29.677015
-14.014716
Burnt
burnt-000014.tar
true
null
clean
MC202000981039_r0093_c0173
MC202000981039
5
mcd64-cluster
A
Africa
Zambia
Zambia
2020-08-02
2020-08-29
EPSG:32735
10
512
0.2585
0
0.0388
10,180
1.54
29.766735
-14.119557
29.814672
-14.072769
Burnt
burnt-000089.tar
true
dormant
clean
MC202000981039_r0094_c0122
MC202000981039
2
mcd64-cluster
A
Africa
Zambia
Zambia
2020-08-02
2020-08-29
EPSG:32735
10
512
0.2781
0
0.1196
31,365
1.54
29.719559
-14.120999
29.767489
-14.074218
Burnt
burnt-000123.tar
true
null
clean
MC202000981039_r0096_c0032
MC202000981039
1
mcd64-cluster
A
Africa
Zambia
Zambia
2020-08-02
2020-08-29
EPSG:32735
10
512
0.2603
0
0.1668
43,719
1.63
29.636304
-14.123733
29.684221
-14.076965
Burnt
burnt-000109.tar
true
dormant
clean
MC202001003906_r0031_c0057
MC202001003906
2
mcd64-cluster
A
Europe
Turkey
Turkey
2020-11-02
2020-11-28
EPSG:32637
10
512
0.9423
0
0.5818
152,502
2.43
39.107782
37.000044
39.165425
37.046264
Burnt
burnt-000018.tar
true
senescence
clean
MC202001003906_r0083_c0060
MC202001003906
1
mcd64-cluster
A
Europe
Turkey
Turkey
2020-11-02
2020-11-28
EPSG:32637
10
512
0.9563
0
0.7127
186,852
2.74
39.111085
36.953164
39.168695
36.999386
Burnt
burnt-000113.tar
true
senescence
clean
MC202001224756_r0082_c0108
MC202001224756
4
mcd64-cluster
A
SouthAsia
India
India
2020-10-14
2020-10-31
EPSG:32643
10
512
0.9756
0
0.8323
218,171
2.65
75.310531
30.855007
75.364256
30.901346
Burnt
burnt-000069.tar
true
dormant
clean
MC202001224756_r0182_c0077
MC202001224756
5
mcd64-cluster
A
SouthAsia
India
India
2020-10-14
2020-10-31
EPSG:32643
10
512
0.9476
0
0.821
215,229
2.2
75.277849
30.764861
75.331507
30.811186
Burnt
burnt-000006.tar
true
dormant
clean
MC202001224756_r0187_c0148
MC202001224756
3
mcd64-cluster
A
SouthAsia
India
India
2020-10-14
2020-10-31
EPSG:32643
10
512
0.9346
0
0.8585
225,045
2.34
75.352022
30.760139
75.405713
30.806494
Burnt
burnt-000004.tar
true
senescence
clean
MC202001224756_r0245_c0082
MC202001224756
2
mcd64-cluster
A
SouthAsia
India
India
2020-10-14
2020-10-31
EPSG:32643
10
512
0.981
0
0.8509
223,062
2.11
75.282907
30.708
75.336536
30.754328
Burnt
burnt-000061.tar
true
dormant
clean
MC202001224756_r0279_c0204
MC202001224756
1
mcd64-cluster
A
SouthAsia
India
India
2020-10-14
2020-10-31
EPSG:32643
10
512
0.9534
0
0.87
228,061
2.14
75.410183
30.676928
75.463854
30.723308
Burnt
burnt-000111.tar
true
senescence
minor
MC202001237775_r0042_c0095
MC202001237775
4
mcd64-cluster
A
CentralAsiaRussia
Kazakhstan
Kazakhstan
2020-06-04
2020-06-19
EPSG:32639
10
512
0.2447
0
0.0062
1,622
1
48.656783
50.614655
48.731381
50.662095
Burnt
burnt-000101.tar
true
peak/maturity
clean
MC202001237775_r0050_c0044
MC202001237775
1
mcd64-cluster
A
CentralAsiaRussia
Kazakhstan
Kazakhstan
2020-06-04
2020-06-19
EPSG:32639
10
512
0.242
0
0.1069
28,020
1
48.585059
50.605997
48.65971
50.653478
Burnt
burnt-000107.tar
true
peak/maturity
clean
MC202001237775_r0147_c0097
MC202001237775
2
mcd64-cluster
A
CentralAsiaRussia
Kazakhstan
Kazakhstan
2020-06-04
2020-06-19
EPSG:32639
10
512
0.2878
0.0389
0.1064
27,895
1.04
48.66429
50.520362
48.738729
50.567796
Burnt
burnt-000136.tar
true
peak/maturity
clean
MC202001680170_r0036_c0115
MC202001680170
3
mcd64-cluster
A
SouthAsia
India
India
2020-05-01
2020-05-20
EPSG:32644
10
512
0.9564
0
0.5421
142,109
1.03
78.639544
25.682974
78.691437
25.729987
Burnt
burnt-000112.tar
true
dormant
clean
MC202001680170_r0064_c0063
MC202001680170
2
mcd64-cluster
A
SouthAsia
India
India
2020-05-01
2020-05-20
EPSG:32644
10
512
0.9362
0
0.6104
160,021
1.08
78.588258
25.656864
78.640157
25.703893
Burnt
burnt-000129.tar
true
dormant
clean
MC202001680170_r0095_c0142
MC202001680170
5
mcd64-cluster
A
SouthAsia
India
India
2020-05-01
2020-05-20
EPSG:32644
10
512
0.9348
0
0.2816
73,807
1.05
78.667477
25.630172
78.719336
25.677175
Burnt
burnt-000102.tar
true
dormant
clean
MC202001680170_r0129_c0039
MC202001680170
4
mcd64-cluster
A
SouthAsia
India
India
2020-05-01
2020-05-20
EPSG:32644
10
512
0.9344
0
0.4548
119,216
1.03
78.56555
25.597824
78.617429
25.644858
Burnt
burnt-000073.tar
true
dormant
clean
MC202001680170_r0131_c0091
MC202001680170
1
mcd64-cluster
A
SouthAsia
India
India
2020-05-01
2020-05-20
EPSG:32644
10
512
0.9541
0
0.6862
179,887
1.05
78.617344
25.596871
78.669205
25.64389
Burnt
burnt-000132.tar
true
dormant
clean
MC202002104103_r0025_c0112
MC202002104103
1
mcd64-cluster
A
Africa
Ghana
Ghana
2020-12-02
2020-12-31
EPSG:32630
10
512
0.7439
0
0.5541
145,252
1.24
-0.801671
10.257942
-0.754625
10.304535
Burnt
burnt-000046.tar
true
senescence
clean
MC202002104103_r0061_c0060
MC202002104103
3
mcd64-cluster
A
Africa
Ghana
Ghana
2020-12-02
2020-12-31
EPSG:32630
10
512
0.7039
0
0.5055
132,518
1.21
-0.849341
10.225731
-0.802306
10.272318
Burnt
burnt-000046.tar
true
senescence
clean
MC202002104103_r0093_c0148
MC202002104103
2
mcd64-cluster
A
Africa
Ghana
Ghana
2020-12-02
2020-12-31
EPSG:32630
10
512
0.7105
0
0.5327
139,642
1.31
-0.769251
10.19626
-0.722212
10.242855
Burnt
burnt-000054.tar
true
senescence
clean
MC202002104103_r0112_c0044
MC202002104103
5
mcd64-cluster
A
Africa
Ghana
Ghana
2020-12-02
2020-12-31
EPSG:32630
10
512
0.4244
0
0.2229
58,426
1.28
-0.864248
10.179736
-0.817223
10.22632
Burnt
burnt-000001.tar
true
senescence
clean
MC202002104103_r0112_c0096
MC202002104103
4
mcd64-cluster
A
Africa
Ghana
Ghana
2020-12-02
2020-12-31
EPSG:32630
10
512
0.4459
0
0.3324
87,137
1.2
-0.816808
10.179416
-0.769778
10.226005
Burnt
burnt-000097.tar
true
senescence
clean
MC202002265806_r0063_c0041
MC202002265806
2
mcd64-cluster
A
Africa
Angola
Angola
2020-09-01
2020-09-11
EPSG:32733
10
512
0.2176
0
0.1379
36,162
1.85
14.202672
-12.872095
14.249995
-12.825661
Burnt
burnt-000115.tar
true
null
clean
MC202002265806_r0068_c0097
MC202002265806
1
mcd64-cluster
A
Africa
Angola
Angola
2020-09-01
2020-09-11
EPSG:32733
10
512
0.3099
0
0.2077
54,434
1.76
14.254268
-12.876759
14.301584
-12.830334
Burnt
burnt-000035.tar
true
null
clean
MC202003415496_r0048_c0036
MC202003415496
1
mcd64-cluster
A
CentralAsiaRussia
Kazakhstan
Kazakhstan
2020-07-01
2020-07-22
EPSG:32640
10
512
0.3952
0
0.3307
86,704
1.63
55.383232
50.639572
55.457191
50.686581
Burnt
burnt-000127.tar
true
senescence
clean
MC202003415496_r0099_c0058
MC202003415496
2
mcd64-cluster
A
CentralAsiaRussia
Kazakhstan
Kazakhstan
2020-07-01
2020-07-22
EPSG:32640
10
512
0.266
0
0.2037
53,403
2.06
55.415906
50.594152
55.489763
50.641141
Burnt
burnt-000094.tar
true
senescence
clean
MC202003561731_r0062_c0100
MC202003561731
1
mcd64-cluster
A
Africa
Nigeria
Nigeria
2020-02-01
2020-02-20
EPSG:32631
10
512
0.7799
0
0.6437
168,754
2.71
4.370497
9.608876
4.417339
9.65536
Burnt
burnt-000021.tar
true
dormant
clean
MC202003561731_r0072_c0048
MC202003561731
2
mcd64-cluster
A
Africa
Nigeria
Nigeria
2020-02-01
2020-02-20
EPSG:32631
10
512
0.6157
0
0.4249
111,379
2.51
4.323083
9.600025
4.369918
9.646503
Burnt
burnt-000087.tar
true
dormant
clean
MC202003561731_r0113_c0114
MC202003561731
4
mcd64-cluster
A
Africa
Nigeria
Nigeria
2020-02-01
2020-02-20
EPSG:32631
10
512
0.4779
0
0.0843
22,095
2.92
4.383066
9.562709
4.429902
9.609194
Burnt
burnt-000116.tar
true
dormant
clean
MC202003561731_r0127_c0060
MC202003561731
3
mcd64-cluster
A
Africa
Nigeria
Nigeria
2020-02-01
2020-02-20
EPSG:32631
10
512
0.4339
0
0.3068
80,418
2.53
4.333823
9.550249
4.380651
9.596728
Burnt
burnt-000093.tar
true
dormant
clean
MC202004190660_r0058_c0038
MC202004190660
1
mcd64-cluster
A
SouthAsia
India
India
2020-05-04
2020-05-07
EPSG:32643
10
512
0.9579
0
0.6674
174,943
3.7
75.211178
30.377895
75.264591
30.424194
Burnt
burnt-000069.tar
true
null
clean
MC202004190660_r0115_c0066
MC202004190660
2
mcd64-cluster
A
SouthAsia
India
India
2020-05-04
2020-05-07
EPSG:32643
10
512
0.9001
0
0.5658
148,315
3.71
75.240194
30.326396
75.293593
30.372707
Burnt
burnt-000077.tar
true
dormant
clean
MC202004574131_r0060_c0045
MC202004574131
2
mcd64-cluster
A
NorthAmerica
United States
United States
2020-09-06
2020-09-30
EPSG:32615
10
512
0.9749
0
0.5948
155,932
3.8
-90.159097
35.621997
-90.100961
35.66945
Burnt
burnt-000113.tar
true
peak/maturity
clean
MC202004574131_r0112_c0039
MC202004574131
1
mcd64-cluster
A
NorthAmerica
United States
United States
2020-09-06
2020-09-30
EPSG:32615
10
512
0.9514
0
0.8341
218,660
3.78
-90.167367
35.57533
-90.109271
35.622778
Burnt
burnt-000102.tar
true
peak/maturity
clean
MC202005715974_r0068_c0089
MC202005715974
3
mcd64-cluster
A
Africa
Dem Rep of the Congo
Dem Rep of the Congo
2020-06-01
2020-06-30
EPSG:32735
10
512
0.2145
0
0.1244
32,613
1.66
25.54746
-10.594675
25.594461
-10.548171
Burnt
burnt-000028.tar
true
null
clean
MC202005715974_r0085_c0036
MC202005715974
2
mcd64-cluster
A
Africa
Dem Rep of the Congo
Dem Rep of the Congo
2020-06-01
2020-06-30
EPSG:32735
10
512
0.3474
0
0.2151
56,379
1.61
25.498951
-10.609826
25.545961
-10.563315
Burnt
burnt-000136.tar
true
null
clean
MC202005715974_r0125_c0093
MC202005715974
1
mcd64-cluster
A
Africa
Dem Rep of the Congo
Dem Rep of the Congo
2020-06-01
2020-06-30
EPSG:32735
10
512
0.3691
0
0.3035
79,568
1.62
25.550872
-10.646228
25.597882
-10.599724
Burnt
burnt-000007.tar
true
null
clean
MC202006248096_r0032_c0108
MC202006248096
3
mcd64-cluster
A
Africa
Angola
Angola
2020-08-01
2020-08-27
EPSG:32733
10
512
0.2921
0
0.1653
43,341
1.51
15.877496
-13.984703
15.925074
-13.938238
Burnt
burnt-000039.tar
true
dormant
clean
MC202006248096_r0084_c0087
MC202006248096
1
mcd64-cluster
A
Africa
Angola
Angola
2020-08-01
2020-08-27
EPSG:32733
10
512
0.369
0
0.3126
81,947
1.33
15.858232
-14.031786
15.905816
-13.985324
Burnt
burnt-000151.tar
true
dormant
clean
MC202006248096_r0095_c0035
MC202006248096
2
mcd64-cluster
A
Africa
Angola
Angola
2020-08-01
2020-08-27
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End of preview. Expand in Data Studio

Burnt & Flooded Crop Benchmark Data (BFC-Bench)

Global, phenology-timed agricultural hazard benchmark data for geospatial foundation models.

5,102 chips of flooded cropland (1,297 events) and 4,786 chips of burnt cropland (1,463 events), 2020–2026. Each chip is 512 × 512 px at 10 m and comes with its damage label, Sentinel-2 and Sentinel-1 images from before and after the event, the crop growth stage at the event date, and a quality-control verdict.

Events with damaged cropland: 1,297 flood events and 1,463 burn events

Each hazard folder holds shards/*.tar, with five GeoTIFFs (label, Sentinel-2 and Sentinel-1 before and after) and a JSON sidecar per chip, and manifest.csv / manifest.parquet, one row per chip.

Overview and Code access

  • Overvew and code: GitHub: the pipelines, overview, chip format and statistics

  • Publication: title, authors, venue, year (to be added): https://doi.org/10.xxxx/axxxxxxxx (in preperation)

  • Authors: Esmaeel Adrah1, Julina Maharjan1, Jamon Van Den Hoek2, He Yin1,3,4
    1 Department of Geography, Kent State University
    2 Department of Geography and Environmental Sciences, Oregon State University
    3 School of Environment, Society & Sustainability, University of Utah
    4 Scientific Computing and Imaging Institute, University of Utah

  • Contact: Esmaeel Adrah (eadrah@kent.edu | esmaeelad@gmail.com), He Yin (he.yin@utah.edu)

If you use this dataset or code, please cite:

@article{bfcbench,
  title   = {< Burnt & Flooded Crop Benchmark Data (BFC-Bench): Global, Phenology-timed, Agriculutral Hazard Benchmark Data for Geosppatial Foundation Models>},
  author  = {<Esmaeel Adrah, Julina Maharjan, Jamon Van Den Hoek, He Yin>>},
  journal = {<TBD>},
  year    = {<2026>},
  doi     = {10.xxxx/axxxxxxxx}
}

Examples

Flooded crop

Flood events in six countries: Sentinel-2 and Sentinel-1 before and after, label and flood persistence

Six chips from Niger, Pakistan, China, Brazil, Thailand and Greece, one per event. Columns: Sentinel-2 before and after, Sentinel-1 VV before and after, the label, and flood persistence, the share of valid Sentinel-1 overpasses in which each pixel was flooded. fc is the chip's flooded-cropland share.

Burnt crop

Burn events in six countries: Sentinel-2 and Sentinel-1 before and after, label and dNBR severity

Six chips from Ethiopia, India, China, Brazil, Vietnam and Turkey. Columns: Sentinel-2 before and after, Sentinel-1 before and after, the label, and dNBR burn severity, from 0 (unburned) to 4 (high).

Acknowledgments

Affiliated institutions:

Utah_updated Kent Oregon
Sensland

Funding: This research was funded by NASA Disaster Grant number# (to be added).

NASA
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