electricsheepafrica/africa-south-sudan-satellite-detected-water-extents-between-13-and-17-septemb-574139e6

Satellite Detected Water Extents Between 13 and 17 Septemb | Africa (United Nations Satellite Centre (UNOSAT))

270 rows - 1 Africa country/area - 2024 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 270 rows from United Nations Satellite Centre (UNOSAT), covering Satellite Detected Water Extents Between 13 and 17 Septemb. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Climate and environment datasets help analysts study exposure, resource conditions, environmental pressure, and climate-related trends.

Source-provided context: Excel file

How To Read This Dataset

• One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension	Value
Rows	270
Countries/areas	1
First period	2024
Last period	2024
Indicators	0
Columns	29
Source format	XLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
SSD	270	2024	2024	South Sudan

Indicators, Variables, Or Resource Contents

• This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	c4bf2faa-fa76-43ed-a15c-469f04ff71c8:admin-1-13-17sep2024:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	SSD
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	South Sudan
source_sheet	string	Source column from the original resource.	Admin_1_13-17Sep2024
year	int64	Observation year.	2024
province	string	Source column from the original resource.	Central Equatoria
population_in_cloud_free_areas_13_17_september_2024	double	Source column from the original resource.	1859968.0
cloud_free_analysed_area_13_17_september_2024_km2	double	Source column from the original resource.	42519.0
population_potentially_exposed_to_maximum_flood_water_ex	double	Source column from the original resource.	5930.0
maximum_flood_water_extent_13_17_september_2024_km2	double	Source column from the original resource.	238.0
water_extent_variation_between_18_22_august_13_17_septem	double	Source column from the original resource.	19.0
source_period_start_year	int64	Start year inferred from source metadata.	2024
source_period_end_year	int64	End year inferred from source metadata.	2024
source_period_label	dictionary<values=string, indices=int8, ordered=0>	Source column from the original resource.	2024
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	United Nations Satellite Centre (UNOSAT)
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Satellite detected water extents between 13 and 17 September 2024 ove...
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	UNOSAT_Population_Exposure_FL20220424SSD_13Sep_17Sep2024_SouthSudan_W...
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	0c2d4095-7b5a-45ae-91d2-3a7ac9300245
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	c4bf2faa-fa76-43ed-a15c-469f04ff71c8
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://unosat.org/static/unosat_filesystem/3975/UNOSAT_Population_Ex...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by-sa
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T18:18:23Z
province_district	string	Source column from the original resource.	``
population_in_cloud_free_areas_18_22_august_2024	double	Source column from the original resource.	``
cloud_free_analysed_area_18_22_august_2024_km2	double	Source column from the original resource.	``
maximum_flood_water_extent_18_22_august_2024_km2	double	Source column from the original resource.	``
water_extent_variation_between_18_22_august_15_19_august	double	Source column from the original resource.	``
date	string	Observation date.	``
population_potentially_exposed	double	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-satellite-detected-water-extents-between-13-and-17-septemb-574139e6")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "SSD"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: United Nations Satellite Centre (UNOSAT)
• Publisher: United Nations Satellite Centre (UNOSAT)
• Portal: https://data.humdata.org
• Resource: UNOSAT_Population_Exposure_FL20220424SSD_13Sep_17Sep2024_SouthSudan_Week23.xlsx
• License: CC BY-SA 4.0
• Retrieved/generated: 2026-08-10T19:35:44Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-satellite-detected-water-extents-between-13-and-17-septemb-574139e6

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Analyze seasonal or annual patterns
• Join with agriculture or health data
• Map geographic exposure
• Build time-series views and period-over-period comparisons
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_south_sudan_satellite_detected_water_extents_between_13_and_17_septemb_57_2024,
  title        = {Satellite Detected Water Extents Between 13 and 17 Septemb | Africa (United Nations Satellite Centre (UNOSAT))},
  author       = {United Nations Satellite Centre (UNOSAT)},
  year         = {2024},
  url          = {https://data.humdata.org/dataset/satellite-detected-water-extents-between-13-and-17-september-2024-over-south-sudan},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-satellite-detected-water-extents-between-13-and-17-septemb-574139e6}}
}

License

Released under CC BY-SA 4.0.

Original data is published by United Nations Satellite Centre (UNOSAT). Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

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

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/satellite-detected-water-extents-between-13-and-17-september-2024-over-south-sudan