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2026-04-17 00:00:00
2026-04-17 00:00:00
Guit
3,414.87
54,531
54,406
3,406
10,759
765
54,520
3,414
16,274
1,243
478
HDX
2026-04-17
Maban
11,844.4
71,494
71,443
11,834
76
21
71,389
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536
136
115
HDX
2026-04-17
null
91,307.1
463,989
458,535
87,990
54
10
461,295
90,452
414
141
131
HDX
2026-04-17
Gogrial Eest
4,472.21
123,979
116,849
4,107
253
20
123,841
4,466
1,434
106
86
HDX
2026-04-17
Raga
61,931.1
75,501
72,940
58,832
4
7
75,106
61,373
121
114
107
HDX
2026-04-17
Rumbek North
4,176.5
57,969
57,590
4,136
0
0
57,822
4,162
183
20
20
HDX
2026-04-17
Yirol West
4,835.22
132,857
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4,834
1,241
56
132,737
4,830
2,992
130
74
HDX
2026-04-17
Torit
5,795.4
681,470
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0
583,857
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1
HDX
2026-04-17
null
35,897.6
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1,040,424
34,221
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432
1,086,081
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HDX
2026-04-17
Tonj South
7,399.04
101,806
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0
0
101,750
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39
HDX
2026-04-17
Wulu
11,797.4
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52,576
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3
52,545
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21
18
HDX
2026-04-17
Wau
19,275.5
209,556
209,128
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13
1
207,929
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15
14
HDX
2026-04-17
Kapoeta South
1,166.83
507,247
507,247
1,167
0
0
503,760
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0
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HDX
2026-04-17
Gogrial West
4,442.8
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0
289,238
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40
40
HDX
2026-04-17
Juba
17,138.9
594,270
593,863
17,117
1,076
50
577,271
16,405
1,639
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15
HDX
2026-04-17
Aweil East
6,293.31
295,631
277,863
5,820
0
0
290,045
6,061
2,290
53
53
HDX
2026-04-17
Koch
4,347.73
123,217
120,856
4,233
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62
123,217
4,348
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HDX
2026-04-17
null
121,899.91
2,081,381
2,080,131
121,704
61,576
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2,046,945
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115,545
8,783
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HDX
2026-04-17
Leer
1,766.96
92,002
92,002
1,767
3,288
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92,002
1,767
17,848
552
420
HDX
2026-04-17
Rumbek East
3,592.98
158,853
158,853
3,593
311
13
158,599
3,586
7,573
346
333
HDX
2026-04-17
null
70,247.59
6,208,969
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69,433
1,571
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5,793,372
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HDX
2026-04-17
Ibba
9,667.28
65,377
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3
64,311
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1
-2
HDX
2026-04-17
Old Fangak
7,754.67
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7,755
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HDX
2026-04-17
Akobo
9,007.2
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207,145
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HDX
2026-04-17
Nzara
6,493.92
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HDX
2026-04-17
Duk
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HDX
2026-04-17
null
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1,487,702
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HDX
2026-04-17
Kapoeta North
5,807.2
704,621
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1
695,305
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18
HDX
2026-04-17
Twic East
5,915.36
130,156
130,149
5,914
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502
128,738
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941
439
HDX
2026-04-17
Morobo
1,329.04
173,881
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1,325
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158,788
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2
2
HDX
2026-04-17
Nyirol
7,156.18
168,044
168,044
7,156
0
0
161,890
6,782
194
10
10
HDX
2026-04-17
Aweil South
2,000.23
73,278
68,570
1,826
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0
73,227
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7
7
HDX
2026-04-17
Budi
5,758.21
688,538
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0
627,629
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HDX
2026-04-17
Mvolo
5,746.56
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0
74,736
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41
41
HDX
2026-04-17
Terekeka
11,980.6
283,371
283,354
11,979
2,624
111
282,575
11,928
2,663
111
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HDX
2026-04-17
Melut
6,950.86
76,743
76,642
6,930
377
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74,896
6,733
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118
HDX
2026-04-17
Yirol East
5,615.97
88,173
87,933
5,593
2,008
230
87,938
5,600
8,985
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HDX
2026-04-17
Tambura
3,717.34
46,532
46,532
3,717
0
0
44,942
3,595
10
3
3
HDX
2026-04-17
null
null
null
null
null
null
null
null
null
null
null
null
HDX
2026-04-17
Longochuk
6,979.95
103,989
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9
102,151
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23
14
HDX
2026-04-17
null
36,958.08
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HDX
2026-04-17
Payinjar
5,333.31
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553
84,336
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17,827
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HDX
2026-04-17
Mayom
4,301.85
199,755
199,573
4,296
10,301
416
199,709
4,301
22,949
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HDX
2026-04-17
Manyo
6,949.09
64,799
64,787
6,947
763
115
64,001
6,838
1,074
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2
HDX
2026-04-17
null
629,736.609
16,743,942
16,613,748
621,519
179,150
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16,202,040
616,863
415,691
25,423
14,270
HDX
2026-04-17
Kapoeta East
26,764.4
1,162,231
1,148,240
26,196
8
71
1,152,064
26,363
1,202
99
28
HDX
2026-04-17
Tonj North
11,254.7
195,111
189,139
10,781
3,036
386
195,089
11,253
15,677
1,908
1,522
HDX
2026-04-17
Aweil West
4,938.06
157,046
154,041
4,802
19
1
156,921
4,934
1,163
39
38
HDX
2026-04-17
Renk
10,009.5
207,360
207,292
10,002
206
19
205,950
9,894
1,840
72
53
HDX
2026-04-17
Pariang
8,955.63
135,723
135,436
8,932
2,116
342
134,236
8,762
9,989
1,066
724
HDX
2026-04-17
Mundri East
5,093.52
74,682
74,605
5,088
0
0
73,423
4,956
20
2
2
HDX
2026-04-17
Malakal
751.639
186,431
186,431
752
157
1
186,431
752
12,833
68
67
HDX
2026-04-17
Rumbek Centre
3,865.8
198,310
197,445
3,838
0
0
198,310
3,866
3,104
87
87
HDX
2026-04-17
Maridi
7,708.15
127,453
125,692
7,591
0
0
127,020
7,660
164
11
11
HDX
2026-04-17
Ulang
4,729.14
132,748
132,697
4,727
1,028
59
131,714
4,670
1,953
96
37
HDX
2026-04-17
Luakpiny/Nasir
5,136.71
323,596
323,485
5,135
2,397
68
315,080
4,853
6,864
148
80
HDX
2026-04-17
null
79,257.82
956,678
952,897
78,981
75
15
945,867
78,139
941
117
102
HDX
2026-04-17
null
30,710.63
696,540
668,017
29,367
19
1
690,608
30,439
4,065
143
142
HDX
2026-04-17
Cueibit
4,829.51
151,144
151,107
4,828
0
0
150,958
4,820
123
4
4
HDX
2026-04-17
Yei
6,698.33
345,462
344,697
6,667
9
0
337,835
6,485
15
1
1
HDX
2026-04-17
Mayendit
2,909.33
84,792
84,562
2,902
12,028
637
84,704
2,903
37,300
1,916
1,279
HDX
2026-04-17
Pochalla
8,297.49
101,482
101,480
8,297
356
50
101,260
8,268
2,095
253
203
HDX
2026-04-17
Kajo Keji
2,484.71
327,199
327,148
2,484
94
1
322,669
2,430
23
1
0
HDX
2026-04-17
Peji
4,456.33
151,837
151,831
4,456
537
17
151,554
4,438
14,490
489
472
HDX
2026-04-17
Mundri West
5,833.4
52,443
52,396
5,827
0
0
51,639
5,664
42
8
8
HDX
2026-04-17
Jur River
10,100.5
178,932
176,467
9,916
37
2
178,260
9,994
157
12
10
HDX
2026-04-17
Ezo
8,090.32
124,426
124,358
8,085
24
4
121,571
7,909
93
7
3
HDX
2026-04-17
Pibor
32,836.4
227,417
226,206
32,644
65
17
224,498
32,114
1,059
233
216
HDX
2026-04-17
Baliet
12,853.8
90,365
89,736
12,667
137
32
89,903
12,761
860
111
79
HDX
2026-04-17
Twic
3,933.37
240,493
225,331
3,610
942
26
240,354
3,927
7,152
172
146
HDX
2026-04-17
Lopa/Lafon
16,257.6
732,394
732,375
16,257
493
16
711,838
15,726
1,632
75
59
HDX
2026-04-17
Rubkona
3,546.03
165,226
165,042
3,541
50,432
1,480
163,998
3,487
54,014
1,644
164
HDX
2026-04-17

Satellite detected water extents between 13 and 17 August 2025 over South Sudan | Africa (original)

Size category: n<1K - Formats: parquet - Sector: humanitarian_development - Engineered by Electric Sheep Africa

size sector downloads license

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Satellite detected water extents between 13 and 17 August 2025 over South Sudan Publisher: United Nations Satellite Centre (UNOSAT) · Source: HDX · License: cc-by-sa · Updated: 2026-02-24 Abstract UNOSAT code: FL20250110SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 13 to 17 August 2025, compared with the period from 25 to 29 April 2025. Within the cloud-free analysed areas of about 620,000 km², a total of about 26,000… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-satellite-detected-water-extents-between-13-and-17-august-2025-over-south-sudan.

Dataset Profile

Field Value
Hugging Face repo electricsheepafrica/africa-satellite-detected-water-extents-between-13-and-17-august-2025-over-south-sudan
Sector humanitarian_development
Topic tags humanitarian, hdx, electric-sheep-africa, flooding, geodata, ssd
Modalities tabular, text
Formats parquet
Size category n<1K
Countries South Sudan
ISO3 coverage SSD
Last modified on HF 2026-04-20 08:27:25+00:00
Inventory snapshot 2026-07-16T16:00:34Z

How To Read This Dataset

  • Start from the repository files and the dataset viewer when available.
  • Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
  • Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
  • Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-satellite-detected-water-extents-between-13-and-17-august-2025-over-south-sudan")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

  • This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
  • Exact schema, row counts, and source files should be inspected in the repository data files.
  • Metadata gaps from the inventory: upstream_publisher.
  • Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Suggested Analyses

  • Inspect schema and missingness before modeling.
  • Profile variables by geography, time, and subgroup columns where present.
  • Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
  • Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_satellite_detected_water_extents_between_13_and_17_august_2025_over_south_2026,
  title        = {Satellite detected water extents between 13 and 17 August 2025 over South Sudan | Africa (original)},
  author       = {original},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-satellite-detected-water-extents-between-13-and-17-august-2025-over-south-sudan},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-satellite-detected-water-extents-between-13-and-17-august-2025-over-south-sudan}}
}

License

Released under CC BY-SA 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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