AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite detected water extents between 18 and 22 August 2024 over South Sudan

**UNOSAT code: FL20240425SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 18 to 22 August 2024 compared with the period from 15 to 19 August 2024. Within the cloud free analysed areas of about 560,000 km², a total of about 18,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 4,000 km² since the period between 15 to 19 August 2024. Based on Worldpop population data and the maximal flood water extent ~305,000 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 the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent in South of Ghat City, Ghat Governorate, South Province, Libya as of 18 August 2024

**UNOSAT code: FL20240812LBY**  This map illustrates satellite-detected water extent in Ghat City, Ghat Governorate, South Province, Libya as observed from a WorldView-3 satellite image acquired on 18 August 2024 at 11:53 local time (09:53 UTC). Within analysed area of about 35km², a total of about 4 km² of land appears to be affected by floodwaters. UNITAR-UNOSAT identified 49 potentially affected structures within the analysed area.  
  
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)
Satellite detected water extents between 16 and 20 August 2024 over Far-North Region, Cameroon

**UNOSAT code: FL20240821CMR**  This map illustrates cumulative satellite-detected water extent in Farth-North Region, Cameroon between 16 to 20 August 2024. Within the cloud free analysed areas of about 33,000 km², a total of about 4,100 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 2,500 km² since the period between 07 to 11 August 2024. Based on Worldpop population data and the maximum flood water extent, ~350,000 people in Far-North Region are potentially exposed or living close to flooded areas, amongst which ~130,000 people in Mayo-Kani Department and ~120,000 people in Logone-et-Chari Department.  
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)
Central America - Transportation cost

The dataset shows the Transportation Consumer Price Index (CPI), comparing the countries of El Salvador, Guatemala, Honduras, and Nicaragua. The data display prices for goods and services related to transportation and it were assessed based on information obtained from the Central American Monetary Council.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics
Organization: Acción contra el hambre - GIS4tech
Central America - Inflation

The dataset shows annual inflation and the Underlying Inflation Index, comparing the countries of El Salvador, Guatemala, Honduras, and Nicaragua. The data was assessed based on information obtained from the Central American Monetary Council.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics
Organization: Acción contra el hambre - GIS4tech
Central America - Housing and Utility Costs

The dataset shows the Housing Consumer Price Index (CPI), comparing the countries of El Salvador, Guatemala, Honduras, and Nicaragua. This group includes household-related goods and services and essential services needed to maintain a home. The data were assessed based on information obtained from the Central American Monetary Council.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics, socioeconomics
Organization: Acción contra el hambre - GIS4tech
Central America - Exchange Rate

The dataset shows monthly market exchange rates for the countries of El Salvador, Guatemala, Honduras, and Nicaragua since 2019. The data are updated using advanced data collection and document scraping techniques. The data have been assessed based on information obtained from the Central American Monetary Council.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics
Organization: Acción contra el hambre - GIS4tech
Central America - Consumer Price Index (CPI)

The dataset shows the Consumer Price Index (CPI), comparing the countries of El Salvador, Guatemala, Honduras, and Nicaragua at a general level and for each of the 13 groups of goods and services since 2019. The data have been assessed based on information obtained from the Central American Monetary Council.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

Tags: economics, socioeconomics
Organization: Acción contra el hambre - GIS4tech
IGAD Region - Monthly Combined Drought Indicator (CDI) 2025

Monthly Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.

Tags: climate hazards, climate-weather, drought, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
IGAD Region - Dekadal Combined Drought Indicator (CDI) 2025

Dekadal (10 days) Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.

Tags: climate hazards, climate-weather, drought, hazards and risk
Organization: IGAD Climate Prediction and Applications Center (ICPAC)
Satellite detected water extent in Sindh province, Pakistan, as of 06 August 2022

**UNOSAT code: FL20220808PAK**  This map illustrates satellite-detected surface waters in Satellite detected water in Sindh province, Pakistan as observed from a Sentinel-1 image acquired on 06 August 2022 at 06:25 local time. Within the analyzed area of about 59,000 km2, about 2,700 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analyzed area, about 750,000 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 United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Sirwah, and Ma'rib City districts of Yemen as of 5 August 2021.

**UNOSAT code: FL20210729YEM**  This map illustrates satellite-detected surface waters over Sirwah and Ma'rib City districts of Yemen as observed from a Sentinel-2 image acquired on 5 August 2021. From the previous preliminary flood assessment conducted on 2 August 2021, 
an additional 1.45 km2. Based on Worldpop population data and the detected surface waters, about 90 additional people may be 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.


Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Afghanistan - Malnutrition Prevalence

The major drivers of acute malnutrition in Afghanistan include inadequate quantity and poor quality of children diets, high prevalence of diseases (diarrhea, malaria, acute respiratory infection and measles outbreaks) and inadequate access to safe drinking water, sanitation and low hygiene practices. Additionally, reduced access to health and nutrition services, suboptimal breastfeeding practices, and high levels of food insecurity exacerbate acute malnutrition. Other risk factors like widespread shocks, including drought, flooding and population displacement continue to negatively impact the nutrition situation. 

Tags: global acute malnutrition-gam, malnutrition, severe acute malnutrition-sam
Organization: HDX
Satellite detected water extents between 10 and 14 March 2022 over South Sudan

**UNOSAT code: FL20220314SSD**  This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 March 2022 compared with the period from 05 to 09 March 2022. Within the cloud free analyzed areas of about 628,000 km2, a total of about 11,400 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased about 12,000 km2 since the period between 05  to 09 March 2022. Based on Worldpop population data and the maximal flood water coverage, ~277,000 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 the United Nations Satellite Centre (UNOSAT).

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of IDP Shelter changes in Baidoa, Somalia, Between 08 February and 02 October 2014

This map illustrates areas of IDP shelter changes within the area of Baidoa, Somalia occurring between 8 February and 2 October 2014, and as seen by the Pleiades and WorldView-3 satellites. UNOSAT analysis 25 new IDP and 14 expanded IDP settlement areas by 2 October 2014. However, 18 other settlement areas contracted and 5 areas were no longer visible, and so the overall number of structures did not change significantly. Specifically, the number of structures increased from 7,910 on 8 February 2014 to 7,990 on 2 October 2014. The 90 IDP areas visible on 2 October 2014 occupy an area of approximatively 40.3 ha, which represent an increase of 1.54 ha since the previous analysis 8 February 2014. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Vanuatu Households GPS points (2009)

Household GPS points - Number of inhabitants  living in HH
Geographic levels: Enumeration Area, Area Council, Province
Domain: Household GPS points
Theme: Households GPS points (2009)
 
Summary:
For more information about this indicator click on the metadata link below:.
 
Know more:
http://www.spc.int/prism/nada/index.php/catalog/57

Tags: census, cyclones-hurricanes-typhoons, geodata, hxl
Organization: British Red Cross Maps Team
Holy See (Vatican City State) - 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)
Hurricane Irma - Windspeed and Gusts

1. Hurricane Irma's gust footprint for 3-sec maximum gusts through to 9UT 7th September 2017. 

2. Hurricane Irma's forecast gust swathe out to 120hrs lead for 3-sec maximum gusts (issued 9UT 7th September). 

3. Hurricane Irma peak 3-sec gust footprints in kml format (through 15UT 11th Sept 2017)

Credit  - Tropical Storm Risk/UCL

Tags: cyclones-hurricanes-typhoons, geodata
Organization: British Red Cross Maps Team
TSR Gust Footprint for Cyclonic Storm FANI - May 3 2019

TSR gust footprint for Cyclonic Storm FANI - 2019-May 3
 - Credit: Tropical Storm Risk/UCL
Issued about 3 hours after it made landfall ~15km to the west of Puri in Odisha state, India.
The gust footprint shows the magnitude and extent of the peak winds from 
FANI at landfall and immediately thereafter. Our model indicates that the
peak gust at landfall was 150-160 mph and that gusts of 100 mph and 
over extend over a swathe width of ~100 km.
The wind damage from FANI will almost certainly be severe. This damage 
will be exacerbated by heavy rains and an expected high storm surge.
Unfortunately the forecast wind swathe for FANI is in line with the heavily
populated cities of Bhubaneshwar and Cuttack.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: British Red Cross Maps Team
Bangladesh Displacement - [IDPs] -  Estimate of Internally Displaced Persons [IOM DTM]

Bangladesh is highly vulnerable to recurrent natural hazards including cyclones, floods, tidal surges, landslides, and riverbank erosion which continue to trigger widespread internal displacement. Despite the persistent nature of these hazards, the country has historically lacked a comprehensive, nationwide estimate of the total number of IDPs affected by disasters. Existing data has largely been fragmented, event-specific, or geographically limited, making it difficult for policymakers to understand the scale and patterns of displacement or plan nation-wide responses.

Recognizing this long-standing data gap, the International Organization for Migration (IOM) undertook Bangladesh’s first systematic national IDP estimation exercise using the Displacement Tracking Matrix (DTM) methodology. This assessment applied a structured approach to identify displacement across all 5,388 administrative units of Bangladesh.

This nationwide assessment builds upon and supports the Government of Bangladesh’s National Strategy on Internal Displacement Management by operationalizing ‘Activity 2.1.1’, which mandates systematic and periodic collection of field-level displacement data under the guidance of the Ministry of Disaster Management and Relief (MoDMR) and local institutional structures. The initiative was supported through multiple IOM projects funded by the European Union (EU), the IOM Development Fund (IDF), and the Norwegian Agency for Development Cooperation (NORAD) via the Platform on Disaster Displacement (PDD), reflecting strong international collaboration in strengthening Bangladesh’s displacement data ecosystem. By providing a clear and verified national estimate, this assessment will help the government and partners
make better decisions on disaster preparedness, social protection, relocation planning, and long-term development.

Tags: administrative boundaries-divisions, affected area, affected population, internally displaced persons-idp
Organization: International Organization for Migration (IOM)
Mokwa Town, Nigeria Points of Interest (OpenStreetMap Export)


This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) :

tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [amenity](http://wiki.openstreetmap.org/wiki/Key:amenity)
- [man_made](http://wiki.openstreetmap.org/wiki/Key:man_made)
- [shop](http://wiki.openstreetmap.org/wiki/Key:shop)
- [tourism](http://wiki.openstreetmap.org/wiki/Key:tourism)
- [opening_hours](http://wiki.openstreetmap.org/wiki/Key:opening_hours)
- [beds](http://wiki.openstreetmap.org/wiki/Key:beds)
- [rooms](http://wiki.openstreetmap.org/wiki/Key:rooms)
- [addr:full](http://wiki.openstreetmap.org/wiki/Key:addr:full)
- [addr:housenumber](http://wiki.openstreetmap.org/wiki/Key:addr:housenumber)
- [addr:street](http://wiki.openstreetmap.org/wiki/Key:addr:street)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: facilities-infrastructure, geodata, points of interest-poi
Organization: Humanitarian OpenStreetMap Team (HOT)
Mokwa Town, Nigeria Health Facilities (OpenStreetMap Export)


This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) :

tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy')

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [amenity](http://wiki.openstreetmap.org/wiki/Key:amenity)
- [building](http://wiki.openstreetmap.org/wiki/Key:building)
- [healthcare](http://wiki.openstreetmap.org/wiki/Key:healthcare)
- [healthcare:speciality](http://wiki.openstreetmap.org/wiki/Key:healthcare:speciality)
- [operator:type](http://wiki.openstreetmap.org/wiki/Key:operator:type)
- [capacity:persons](http://wiki.openstreetmap.org/wiki/Key:capacity:persons)
- [addr:full](http://wiki.openstreetmap.org/wiki/Key:addr:full)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: geodata, health, health facilities
Organization: Humanitarian OpenStreetMap Team (HOT)
Mokwa Town, Nigeria Sea Ports (OpenStreetMap Export)

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) :

tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [amenity](http://wiki.openstreetmap.org/wiki/Key:amenity)
- [building](http://wiki.openstreetmap.org/wiki/Key:building)
- [port](http://wiki.openstreetmap.org/wiki/Key:port)
- [operator:type](http://wiki.openstreetmap.org/wiki/Key:operator:type)
- [addr:full](http://wiki.openstreetmap.org/wiki/Key:addr:full)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: facilities-infrastructure, geodata, ports
Organization: Humanitarian OpenStreetMap Team (HOT)
Mokwa Town, Nigeria Education Facilities (OpenStreetMap Export)


This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) :

tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university')

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [amenity](http://wiki.openstreetmap.org/wiki/Key:amenity)
- [building](http://wiki.openstreetmap.org/wiki/Key:building)
- [operator:type](http://wiki.openstreetmap.org/wiki/Key:operator:type)
- [capacity:persons](http://wiki.openstreetmap.org/wiki/Key:capacity:persons)
- [addr:full](http://wiki.openstreetmap.org/wiki/Key:addr:full)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: education facilities-schools, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Mokwa Town, Nigeria Power Lines (OpenStreetMap Export)


This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) :

tags['power'] IN ('tower', 'line')

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [amenity](http://wiki.openstreetmap.org/wiki/Key:amenity)
- [power](http://wiki.openstreetmap.org/wiki/Key:power)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)
- [operator:type](http://wiki.openstreetmap.org/wiki/Key:operator:type)
- [addr:full](http://wiki.openstreetmap.org/wiki/Key:addr:full)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [building](http://wiki.openstreetmap.org/wiki/Key:building)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Mokwa Town, Nigeria Airports (OpenStreetMap Export)


This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) :

tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site'

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [aeroway](http://wiki.openstreetmap.org/wiki/Key:aeroway)
- [building](http://wiki.openstreetmap.org/wiki/Key:building)
- [emergency](http://wiki.openstreetmap.org/wiki/Key:emergency)
- [emergency:helipad](http://wiki.openstreetmap.org/wiki/Key:emergency:helipad)
- [operator:type](http://wiki.openstreetmap.org/wiki/Key:operator:type)
- [capacity:persons](http://wiki.openstreetmap.org/wiki/Key:capacity:persons)
- [addr:full](http://wiki.openstreetmap.org/wiki/Key:addr:full)
- [addr:city](http://wiki.openstreetmap.org/wiki/Key:addr:city)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: aviation, facilities-infrastructure, geodata
Organization: Humanitarian OpenStreetMap Team (HOT)
Mokwa Town, Nigeria Waterways (OpenStreetMap Export)


This theme includes all OpenStreetMap features in this area matching ( Learn what tags means [here](https://wiki.openstreetmap.org/wiki/Tags) ) :

tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay')

Features may have these attributes:

- [name](http://wiki.openstreetmap.org/wiki/Key:name)
- [waterway](http://wiki.openstreetmap.org/wiki/Key:waterway)
- [covered](http://wiki.openstreetmap.org/wiki/Key:covered)
- [width](http://wiki.openstreetmap.org/wiki/Key:width)
- [depth](http://wiki.openstreetmap.org/wiki/Key:depth)
- [layer](http://wiki.openstreetmap.org/wiki/Key:layer)
- [blockage](http://wiki.openstreetmap.org/wiki/Key:blockage)
- [tunnel](http://wiki.openstreetmap.org/wiki/Key:tunnel)
- [natural](http://wiki.openstreetmap.org/wiki/Key:natural)
- [water](http://wiki.openstreetmap.org/wiki/Key:water)
- [source](http://wiki.openstreetmap.org/wiki/Key:source)

This dataset is one of many [OpenStreetMap exports on
HDX](https://data.humdata.org/organization/hot).
See the [Humanitarian OpenStreetMap Team](http://hotosm.org/) website for more
information.


Tags: geodata, hydrology, rivers
Organization: Humanitarian OpenStreetMap Team (HOT)