electricsheepafrica/africa-drc-eaux-de-surface-detectees-par-satellite-entre-le-24-novemb-128b0b72

Eaux de surface détectées par satellite entre le 24 novembre et le 05 décembre 2022 dans la province de Tshopo, République Démocratique du Congo | Africa (DRC official open data)

74 rows - 1 Africa country - 2019-2022 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from DRC as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Eaux de surface détectées par satellite entre le 24 novembre et le 05 décembre 2022 dans la province de Tshopo, République Démocratique du Congo
• Publisher: United Nations Satellite Centre (UNOSAT)
• Resource: UNOSAT_Population_Exposure_FL20221125COD_25Nov2019_24Nov2022_TshopoProvince_RDC_FR.xlsx
• Format: XLSX
• License: CC BY-SA
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
COD	74	2019	2022	DRC

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	a11aa3d4-f343-4dcf-b943-bd3c39a7265b:statminflood-fl20221125cod:0
country_iso3	category	ISO3 country code.	COD
country_name	category	Country name.	DRC
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	StatMinFlood_FL20221125COD
province_district_zone_de_sante	string	Source column.	Tshopo
population_totale	float64	Source column.	3524419.101809501
aire_analysee_km2	float64	Source column.	200478.354
population_potentiellement_exposee_par_l_etendue_maximal	float64	Source column.	97757.29884060578
etendue_maximale_des_eaux_de_surface_25_nov_05_dec_2019	float64	Source column.	2858.16445
population_potentiellement_exposee_par_l_etendue_minimal	float64	Source column.	8298.673896035294
etendue_minimale_des_eaux_de_surface_25_nov_05_dec_2019	float64	Source column.	199.296587
population_potentiellement_exposee_par_l_etendue_maximal_2	float64	Source column.	70153.7533723014
etendue_maximale_des_eaux_de_surface_24_nov_05_dec_2022	float64	Source column.	1604.0923300000002
population_potentiellement_exposee_par_l_etendue_minimal_2	float64	Source column.	8380.709469074347
etendue_minimale_des_eaux_de_surface_24_nov_05_dec_2022	float64	Source column.	316.55157899999995
source_period_start_year	Int64	First year inferred from source resource metadata.	2019
source_period_end_year	Int64	Last year inferred from source resource metadata.	2022
source_period_label	category	Human-readable period inferred from source resource metadata.	2019-2022
source_provider	category	Publishing organization.	United Nations Satellite Centre (UNOSAT)
source_dataset	category	Source package title.	Eaux de surface détectées par satellite entre le 24 novembre et le 05 dé
source_resource	category	Source resource title.	UNOSAT_Population_Exposure_FL20221125COD_25Nov2019_24Nov2022_TshopoProvi
source_package_id	category	CKAN package UUID.	4ef9abd7-5ca7-4bb2-b1c9-af2c41a0a65e
source_resource_id	category	CKAN resource UUID.	a11aa3d4-f343-4dcf-b943-bd3c39a7265b
source_url	category	Original source resource URL.	https://unosat.org/static/unosat_filesystem/3459/UNOSAT_Population_Expos
license_id	category	Source license identifier.	cc-by-sa
retrieved_at	category	UTC retrieval timestamp.	2026-08-20T11:38:57Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-drc-eaux-de-surface-detectees-par-satellite-entre-le-24-novemb-128b0b72")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "COD"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_drc_eaux_de_surface_detectees_par_satellite_entre_le_24_novemb_128b0b72_2022,
  title        = {Eaux de surface détectées par satellite entre le 24 novembre et le 05 décembre 2022 dans la province de Tshopo, République Démocratique du Congo | Africa (DRC official open data)},
  author       = {United Nations Satellite Centre (UNOSAT)},
  year         = {2022},
  url          = {https://data.humdata.org/dataset/eaux-de-surface-detectees-par-satellite-entre-le-24-novembre-et-le-05-decembre-2022-dans-l},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-drc-eaux-de-surface-detectees-par-satellite-entre-le-24-novemb-128b0b72}}
}

License

Released under CC BY-SA.

Original data (c) United Nations Satellite Centre (UNOSAT). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-20 via the Electric Sheep pipeline. Source URL: https://unosat.org/static/unosat_filesystem/3459/UNOSAT_Population_Exposure_FL20221125COD_25Nov2019_24Nov2022_TshopoProvince_RDC_FR.xlsx