AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite detected waters in Ha Tinh Province of Viet Nam as of 9 November 2020

**UNOSAT code: TC20201028VNM**  This map illustrates satellite-detected surface waters in Ha Tinh Province of Viet Nam as observed from a Sentinel-1 image acquired on 9 November 2020 at 05:51 local time. Within the analyzed area of about 6,000 km2, a total of about 40 km2 of lands appear to be flooded. The water extent appears to have receded of about 540 km2 since 3 November 2020. Based on Worldpop population data and the detected surface waters, about 17,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. 
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite  detected water extent over Guli District, White Nile State of Sudan as of 19 September 2021

**UNOSAT code: FL20210907SDN**  This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 19 September 2021 over the Guli District, White Nile State of Sudan. The water extent appears to have decreased of about 70 km2 since 14 September 2021. In this area, about 36 km2 of croplands appear to be likely affected by the flood waters.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Albay and Sorsogon Provinces of Philippines as of 12 November 2020

**UNOSAT code: TC20201111PHL**  This map illustrates satellite-detected surface waters in Daraga, Jovellar municipalities of Albay province & Donsol, Pilar municipalities of Sorsogon province of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 270 km2, a total of about 6 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 3,000 people are potentially exposed or living close to flooded areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering
properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
El Salvador: Humanitarian Needs

This dataset contains standardised Humanitarian Needs Overview data taken from the OCHA HPC Tools system which is under active development. For more detailed but less standardized data on humanitarian needs, see the [Humanitarian Needs Overview data series](https://data.humdata.org/dataset/?dataseries_name=Humanitarian+Needs+Overview).

Tags: humanitarian needs overview-hno, hxl, people in need-pin
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Honduras: Humanitarian Needs

This dataset contains standardised Humanitarian Needs Overview data taken from the OCHA HPC Tools system which is under active development. For more detailed but less standardized data on humanitarian needs, see the [Humanitarian Needs Overview data series](https://data.humdata.org/dataset/?dataseries_name=Humanitarian+Needs+Overview).

Tags: humanitarian needs overview-hno, hxl, people in need-pin
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Guatemala: Humanitarian Needs

This dataset contains standardised Humanitarian Needs Overview data taken from the OCHA HPC Tools system which is under active development. For more detailed but less standardized data on humanitarian needs, see the [Humanitarian Needs Overview data series](https://data.humdata.org/dataset/?dataseries_name=Humanitarian+Needs+Overview).

Tags: humanitarian needs overview-hno, hxl, people in need-pin
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Accumulated satellite-detected water extents in Ache Province, Indonesia as of 27 Nov. to 4 Dec. 2025

**UNOSAT code: FL20251126IDN, GDACS ID: 1103633**  This map illustrates cumulative satellite-detected water extent in Ache Province, Indonesia as observed from multiple satellite imagery acquired between 27 Nov. and 4 Dec. 2025. Within the analysed areas of about 56,800 km², a total of about 1,430 km² of lands appear to be affected with flood waters.  
Based on Worldpop spatial demographic data, about 226,000 people in Ache Province are exposed to or living close to flooded areas from 27 Nov. and 4 Dec. 2025.  
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Quasi-census of sanitation access and behavior in northern Haiti

This survey data contains responses from a quasi-census of over 4000 households living in 3 communities (8 sub-zones) in northern Haiti. Data was collected in October-November 2023 from all available households available (visited up to 3 times). Identifying respondent information including name, phone number, and GPS coordinates have been removed to protect confidentiality. 

Tags: demographics, development, economics, environment, health, indicators, water sanitation and hygiene-wash
Organization: Sustainable Organic Integrated Livelihoods
Turks and Caicos Islands - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Seychelles - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
San Marino - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Samoa - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Saint Lucia - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
North Macedonia, Republic of - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Niue - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Nauru - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Latvia - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Hungary - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Democratic Republic of the Congo: Response Plan projects

Projects proposed, in progress, or completed as part of the annual Democratic Republic of the Congo Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Democratic Republic of the Congo might be missing, and others might not apply specifically to Democratic Republic of the Congo. See _Caveats_ under the _Additional information_ tab.

Tags: humanitarian response plan-hrp, hxl, who is doing what and where-3w-4w-5w
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Afghanistan: Response Plan projects

Projects proposed, in progress, or completed as part of the annual Afghanistan Humanitarian Response Plans (HRPs) or other Humanitarian Programme Cycle plans. The original data is available on https://hpc.tools

**Important:** some projects in Afghanistan might be missing, and others might not apply specifically to Afghanistan. See _Caveats_ under the _Additional information_ tab.

Tags: humanitarian response plan-hrp, hxl, who is doing what and where-3w-4w-5w
Organization: OCHA Humanitarian Programme Cycle Tools (HPC Tools)
Geodata of Damage Assessment of Sankhu, Kathmandu Valley, Nepal

This map illustrates satellite-detected damage and destruction in the town of Sankhu, Kathmandu Valley, Nepal. Located northeast of Kathmandu city, Sankhu was significantly impacted by the 25 April 2015 earthquake in Nepal. Using satellite imagery acquired 27 April 2015 UNITAR / UNOSAT identified a total of 300 affected structures. Approximately 166 of these were destroyed, 97 severely damaged, and 37 moderately damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent over Chittagong division, Bangladesh as of 8 August 2021

**UNOSAT code: FL20210729BGD**  This map illustrates satellite-detected surface waters in Chittagong division, Bangladesh as observed from a Sentinel-1 image acquired on 8 August 2021 at 17:55 local time. Within the analyzed area of about 18,700 km2 and, about 873 km2 of lands appear to be flooded. The water extent appears to have increased of about 21 km2 since 30 July 2021. Based on Worldpop population data and the detected surface waters in the analyzed area, the potentially exposed population is mainly located in the district of Cox's Bazar with ~393,240 people, Chittagong with ~358,320 people.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in Farafangana district, Atsimo Atsinanana region, Madagascar as of 15 February 2022

**UNOSAT code: TC20220201MDG**  This map illustrates satellite-detected surface waters in Farafangana district, Atsimo Atsinanana region, Madagascar as observed from Sentinel-1 image acquired  of 15 February 2022 at 05:12 local time. Within the analyzed area of about 1,200 km2, about 6 km2 of lands appear to be flooded. The water extent appears to have decreased of about 87 km2 since 8 February 2022. Based on Worldpop population data and the detected surface waters, about 1,200 people are potentially exposed or living close to flooded areas.

This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Water Extent in the Sanamxay District, Attapeu Province, Lao PDR

This map illustrates the satellite-detected water extent in the District of Sanamay, Attapeu Province, in the southwestern part of Lao People's Democratic Republic after the tropical storm SONCA-17. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 30 July 2017 and detected several areas with potentially standing waters. In the district of Sanamxay ~5,225 ha are likely flooded.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. 

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Tonga - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's [Financial Tracking Service](https://fts.unocha.org/), is encoded as utf-8 and the second row of the CSV contains [HXL](http://hxlstandard.org) tags.

Tags: covid-19, funding, humanitarian financial tracking service-fts, hxl
Organization: OCHA Financial Tracking System (FTS)
Landslides impact analysis in Melamchi Municipality, Bagmati province, Nepal as of 24 June 2021

**UNOSAT code: FL20210630NPL**  This map illustrates satellite-detected flash floods and landslides in Melamchi village, Melamchi Municipality, Bagmati province, Nepal as observed using Sentinel-2 satellite imagery acquired on 24 June 2021. Within the analyzed area, approximately 150 structures appear to be potentially affected by the landslides. 
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
India: IBTrACS Storm Tracks

The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons.   
   
 Fields available:   
 SID: A unique storm identifier (SID) assigned by IBTrACS algorithm.  
 ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss)   
 BASIN: Basin of the current storm position   
 SUBBASIN: Sub-basin of the current storm position   
 NATURE: Type of storm (a combination of the various types from the available sources)   
 NUMBER: Number of the storm for the year (restarts at 1 for each year   
 LAT: Mean position - latitude (a combination of the available positions)   
 LON: Mean position - longitude (a combination of the available positions)   
 WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency   
 WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.

Tags: cyclones-hurricanes-typhoons, hxl
Organization: HDX
Extensões de água superficias detectadas por satélite na Província de Zambezia Moçambique, no dia 15 de março de 2022

**UNOSAT code: TC20220311MOZ**  Este mapa ilustra água superficias detectadas por satélite nos distritos de Mossuril, Mogincual e Liúpo, Província de Nampula em Moçambique, no dia 15 de março, 2022, as 05:10 hora local. Dentro da área analisada de cerca de 1485 km2, um total de 237 km2 aparece inundada. Baseado nos dados de população do Worldpop e na águas superficiais, cerca de 22,620 pessoas estão potencialmente expostos ou vivem perto das áreas inundadas.
Esto sao análises preliminar e ainda não foram verificados no terreno. Por favor, envie comentários para o Centro de Satélites das Nações Unidas (UNOSAT).
Nota importante: Análises de inundaçãoes a partir de imagens radar podem subestimar a presença de águas acumuladas em áreas construídas e áreas de vegetação densa devido às propriedades de retrodifusão do sinal radar.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Census-cartography-based gridded population estimates for Mali (2020), version 1.0

These data consist of modelled gridded population estimates produced at a spatial resolution of approximately 100m across Mali. The estimates comprise a combination of total population counts at enumeration area level collected by the census cartography team of the Mali Statistics Office and modelled population counts created using a Bayesian statistical model for areas that could not be covered by the cartography team because of security issues. The main input data for the model are the cartography data collected in the safe part of the country in 2019-2020 (628 out of 714 Communes –administrative level 3–, that is 87% of the country territory). Other essential input data include metrics derived from building footprints, which were automatically delineated by Ecopia.AI in 2021 using satellite imagery collected by Maxar Technologies between 2010 and 2021. The modelled population estimates represent the period of the census cartography, but their consistency may be impacted by the accuracy of the building footprints.

These data were produced by the [ WorldPop Research Group](https://www.worldpop.org/) at the University of Southampton as part of the GRID3 Project, GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) programme funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). The study was approved by the Faculty Ethics Committee of the University of Southampton (ERGO II 64957). The project was led by the Center for International Earth Science Information Network (CIESIN) at Columbia University, in collaboration with the WorldPop Research Group at the University of Southampton, the United Nations Fund for Population (UNFPA) and the Malian Institut National de la Statistique (INSTAT).

The production of these data was led by Edith Darin (WorldPop) with support from Matthias Kuépié and Jean Wakam (UNFPA), Abdoul Karim Diawara, Assa Gakou and Siaka Cissé (Institut National de la Statistique), and Attila N Lazar (WorldPop) and Andrew J Tatem (WorldPop). The authors acknowledge the support of their respective institutions in the completion of this work. 

**Recommended citations**

WorldPop and Institut National de la Statistique du Mali. 2022. *Census-cartography-based gridded
population estimates for Mali (2020), version 1.0.* WorldPop, University of Southampton. doi:10.5258/SOTON/WP00745

**License**
These data may be redistributed following the terms of a Creative Commons Share-Alike Attribution 4.0 International (CC BY SA 4.0) license

Tags: baseline population, demographics, geodata, population
Organization: WorldPop
Afghanistan - Subnational Population Statistics

Afghanistan administrative levels 0 (country), 1 (province) and 2 (district) population statistics.

REFERENCE YEAR: 2021 estimates based on 2017 study conducted by Flowminder/UNFPA.

Dataset updated by OCHA in 2025.

The gazetteer is compatible with the Afghanistan - Subnational Administrative Boundaries gazetteer. (COD-AB boundaries are unavailable.)

Tags: baseline population, gazetteer, gender and age disaggregated data-gadd, hxl
Organization: OCHA Afghanistan