AndreaBozzo/ceres-open-data-index huggingface dataset:
Flood mapping by drones in Merced, California (January 2023)

Several weeks of storms in January 2023 have caused significant damage across California, with mudslides and flooding resulting in at least 19 dead and widespread damage to infrastructure. Drone experts at GLOBHE have activated drone operators in the region, capturing critical data in most affected areas and making it accessible to all the authorities, NGOs, and volunteers who now scramble to assist.

The donated high-quality drone data is available to all entities working to support the region, easily accessible here. The datasets includes one high-resolution orthomosaic and six 360° panoramas to show the impact of floodings in the area.

“Our thoughts are with everyone affected by the storms and all those who work hard to rescue, repair, and rebuild across the affected areas,” says Napoleon Bergström, COO at GLOBHE.

As a global leader in connecting local drone operators with organizations in need of accurate drone data, GLOBHE works together with leading organizations to prevent and respond to natural disasters, often in hard-to-access areas across the world.

“Access to high-quality imaging can give critical data on damage to housing, infrastructure, and nature, and make it easier to make the right decisions and help those affected,” says Napoleon Bergström, COO at GLOBHE. “That is why our team will work hard to provide this data.” From January 24, the data of affected areas in California is freely available here.

About GLOBHE:
GLOBHE is leading organizations to make better decisions through drone data. Through a single platform, the company offers organizations accurate and actionable drone data from anywhere in the world. GLOBHE's platform is a leading curated marketplace connecting local drone operators with organizations with the need for drone data of the highest quality. By creating the sharpest view of reality, Globhe enriches our communities and impacts our planet. For more information, please visit  https://globhe.com/.

MORE CROWDDRONING BY GLOBHE

Web: https://globhe.com/

Facebook: https://www.facebook.com/Crowddroning

Twitter: https://twitter.com/globhedrones

Instagram: https://www.instagram.com/globhedrones/

LinkedIn: https://www.linkedin.com/company/globhedrones/

Tags: flooding, geodata
Organization: Globhe Drones
Flood mapping by drones in Cantua Creek, California (January 2023)

Several weeks of storms in January 2023 have caused significant damage across California, with mudslides and flooding resulting in at least 19 dead and widespread damage to infrastructure. Drone experts at GLOBHE have activated drone operators in the region, capturing critical data in most affected areas and making it accessible to all the authorities, NGOs, and volunteers who now scramble to assist.

The donated high-quality drone data is available to all entities working to support the region, easily accessible here. The datasets includes one high-resolution orthomosaic and six 360° panoramas to show the impact of floodings in the area. 

“Our thoughts are with everyone affected by the storms and all those who work hard to rescue, repair, and rebuild across the affected areas,” says Napoleon Bergström, COO at GLOBHE.

As a global leader in connecting local drone operators with organizations in need of accurate drone data, GLOBHE works together with leading organizations to prevent and respond to natural disasters, often in hard-to-access areas across the world.

“Access to high-quality imaging can give critical data on damage to housing, infrastructure, and nature, and make it easier to make the right decisions and help those affected,” says Napoleon Bergström, COO at GLOBHE. “That is why our team will work hard to provide this data.”
From January 24, the data of affected areas in California is freely available here.
 
About GLOBHE:
GLOBHE is leading organizations to make better decisions through drone data. Through a single platform, the company offers organizations accurate and actionable drone data from anywhere in the world. GLOBHE's platform is a leading curated marketplace connecting local drone operators with organizations with the need for drone data of the highest quality. By creating the sharpest view of reality, Globhe enriches our communities and impacts our planet. For more information, please visit https://www.globhe.com/. 

MORE CROWDDRONING BY GLOBHE

Web: https://globhe.com/

Facebook: https://www.facebook.com/Crowddroning

Twitter: https://twitter.com/globhedrones

Instagram: https://www.instagram.com/globhedrones/

LinkedIn: https://www.linkedin.com/company/globhedrones/

Tags: flooding, geodata
Organization: Globhe Drones
Natural disaster incidents from 1 January to 31 December 2013

1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB).
2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance.
3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.


Tags: affected population, damage assessment, earthquake-tsunami, fatalities, flooding, geodata, natural disasters
Organization: OCHA Afghanistan
Natural disaster incidents from 1 January to 31 December 2015

1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 
2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 
3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 
4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.

Tags: affected population, casualties, climate hazards, damage assessment, earthquake-tsunami, fatalities, flooding, hxl, natural disasters
Organization: OCHA Afghanistan
North East Nigeria Flood-affected Populations by Settlement Type as of June 2018

Flood-affected populations by settlement type as of June 2018. The dataset presents the data to LGA level (Admin 2) in all the three crisis-affected states of north eastern Nigeria, thus Borno, Yobe and Adamawa. The affected populations include households and individuals. The settlement types include Households in IDP Camps, Households in Host Communities and provides a computation of affected people by settlement type; Camp flood risk mapping as of June 2018. The dataset presents the data to LGA level (Admin 2) in IDP camps across all the three crisis-affected states of north eastern Nigeria, thus Borno, Yobe and Adamawa; Host Community flood risk analysis and mapping as of June 2018. Also includes a CSV file on Flood-affected populations by settlement type as of June 2018.

Tags: climate hazards, displacement, flooding, geodata, hazards and risk, population
Organization: iMMAP Inc.
Priority Index Sri Lanka Floods May 2017

Product
=============
This priority index was derived by combining a detailed flood extent mapping with detailed human settlement geo-data. Both sources were combined to produce the location and magnitude of population living in flooded areas. This was subsequently aggregated to admin-4 areas (GND) as well as admin-3 areas (DS divisional). 

The flood extent mapping was derived in turn by combining two sources: Flood extent maps could be produced rather faster using satellite imageries captured by either optical sensors or Synthetic Aperture Radar (SAR) sensors. In most places flood is cause by heavy rainfall which means in most cases cloud is present, this is a limitation for optical sensors as they can’t penetrate clouds. Radar sensors are not affected by cloud, which make them more useful in presence of cloud. In This analysis we analyzed sentinel2 optical image from May 28th and Sentinel 1 SAR image from May 30th.  Then we combine the two results adding up the flood extents.

Main cloud covered areas and permanent water bodies are removed from the flood extent map using the Sentinel 2 cloud mask. The scale/resolution of the flood extent map is 30mts where as the permanent water body map has 250m scale resolution. This will introduce some discrepancy: part of flood extent  map could be permanent water body. 

Scope
=============
Analysis focused on 4 districts in South-West Sri Lanka based on news reports (https://www.dropbox.com/s/n0qdqe7qfgq6fyv/special_situation.pdf?dl=0). Based on the admin-3-level analysis, highest percentages of population living in flooded areas were seen in Matara district. Admin-4 level analysis concentrated only on Matara district for that reason.

Caveats
=============
The dataset is showing percentage flooded. The data has not yet been corrected for small populations. We believe the product is currently pointing to the high priority areas. In the shp or csv files the user of this data could easily correct for small populations, if there is a wish to target on the amount of people affected.

Data used from partners
=============
The human settlement data was retrieved from http://ciesin.columbia.edu/data/hrsl/. Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 01-06-2017.

The Radar imagery analysis was done by NASA JPL, whose input in this product has been crucial.
 
Visualization
===========
An example map is available here:
http://bit.ly/SriLankaFloodMap

Linked data
==========
Admin boundaries 3 and 4 can be found here (link on OBJECT_ID): https://data.humdata.org/group/lka?q=&ext_page_size=25&sort=score+desc%2C+metadata_modified+desc&tags=administrative+boundaries#dataset-filter-start

How to use
=============
The ratio column in the SHPs or CSVs can be multiplied by 100 to get the percentage of flooding in the area.

Tags: flooding, logistics, severity
Organization: Netherlands Red Cross - 510
REACH Colombia - Ciénaga, Magdalena - Evaluación Basada en Área (EBA)

El departamento de Magdalena por muchas décadas ha sido una zona de múltiples afectaciones de índole humanitaria. El municipio Ciénaga particularmente ha sido un territorio receptor de victimas del conflicto armado debido a su cercanía a la Sierra Nevada de Santa Marta donde Grupos Armados No Estatales se resguardan estratégicamente para controlar el paso de tránsito entre varios departamentos donde se producen cultivos ilícitos y los puertos al norte del país por donde salen estos productos. Ciénaga a su vez ha recibido un flujo migratorio de población refugiada y migrante venezolana ya que es un territorio donde los costos de vida son relativamente bajos y queda ubicado cercano a territorios donde la producción agrícola es la principal actividad económica y pueden encontrar empleo. Por otro lado, Ciénaga al estar delimitado en el costado occidental por la Ciénaga Grande y en el norte por el Mar Caribe, el municipio de Ciénaga se encuentra expuesto a los riesgos por variabilidad climática que van de extremo a extremo. Por un lado, las temporadas de lluvias (fenómeno de la Niña) y las épocas de huracanes tropicales en el océano Atlántico ocasionan que anualmente la cabecera municipal presente inundaciones por crecimiento de la Ciénaga Grande y por erosión costera, lo cual deriva en victimas que pierden pertenencias dentro de sus viviendas e inclusive las mismas viviendas si estas están construidas de materiales inadecuados. Por otro lado, las épocas de sequía afectan las zonas rurales de Ciénaga ocasionando la muerte de cultivos y de animales. Una tercera problemática por inundaciones se presenta por las obras fallidas de drenaje y acueducto que ocasionan inundaciones en varios sectores del municipio.

Tags: flooding, livelihoods
Organization: REACH Initiative
Somalia flooding Belet Weyne Town, Belet Weyne District, Hiiran Region

UNOSAT produced  satellite-detected flood water extent and IDP distribtuion within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Around 70% of the extension of the town is totally inundated, being the districts of Bulahabley, Bundaweyn, Dhagahjebis, Hilac, Hindab and Lamagalay Regional Military Based, Radar and Kutimbo completely submerged in water. The flood waters inside areas of partially flooded districts are receding. More than 110 IDP sites are located inside the town, and 50% of them are inside areas completly flooded. 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)
Somalia - Shabelle and Juba Riverine Basin Population Displacement Estimates -  2015

This dataset shows the Shabelle and Juba Riverine Basin Population Displacement Estimates -  2015. 
Working assumptions:
• Displaced population defined as direct displacement through flood inundation
• Displaced population calculated by multiplying the number of hh's by hh size of 6
• If a range is provided to quantify displacement the upper figure is used


Tags: el nino-el nina, flooding, water sanitation and hygiene-wash
Organization: FAO SWALIM (inactive)
Global model of storm surge hazard 10 years return period

The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The risk assessment was also conducted by CIMNE and Ingeniar to produced AAL and PML values for cyclone risk.

Tags: flooding, geodata, hazards and risk
Organization: United Nations Office for Disaster Risk Reduction (UNDRR)
Burkina Faso: Suivi des Inondations

Ces données du CONASUR contiennent les informations sur l'impacts des inondations au Burkina Faso en 2021, 2022, 2023 et 2024. Il contient le numbre de personnes ou foyers affectés. 

Tags: affected population, climate-weather, damage assessment, flooding, hxl
Organization: OCHA Burkina Faso
Bangladesh - Hazards (Drought risk, Earthquake risk, Flood risk and River erosion risk)

This spatial dataset provides Hazard data of Bangladesh. Drought risk, Earthquake risk, Flood risk and River erosion risk are included as separated datasets with different attributes.  The source of the data is Bangladesh Agricultural Research Council (BARC). Dataset records are updated by WFP, Map Action and OCHA.

Tags: drought, earthquake-tsunami, flooding, geodata, hazards and risk
Organization: OCHA Regional Office for Asia and the Pacific (ROAP)
Indonesia Province Infographic datasets

The data coming from the census 2010 - used to develop this publication of infographics on population characteristics on each of Indonesia’s thirty-three provinces.  The book is the result of cooperation between with BNPB and BPS and the United Nations agencies  UNOCHA, UNFPA, WFP, and UNDP. UNFPA provided technical assistance in the preparation of the basic population indicators such as sex ratio, population density, main livelihood, and levels of literacy. In addition, this book also displays information regarding dependency ratio, fertility rates, life expectancy, and infant mortality rates included in the Population Projection 2010-2035. 
The results can be seen in this link: http://reliefweb.int/report/indonesia/indonesia-province-infographic-book-27-nov-2014
The datasets can also accessible in here: http://dibi.bnpb.go.id/profil-wilayah/11/aceh

Tags: census
Organization: OCHA Indonesia (inactive)
Congo, The Democratic Republic of the - 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, hxl
Organization: OCHA Financial Tracking System (FTS)
Aruba - 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, hxl
Organization: OCHA Financial Tracking System (FTS)
Curaçao - 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, hxl
Organization: OCHA Financial Tracking System (FTS)
Cyclone Chido: Building Damage Assessment in Passamanty, Mayotte

We ran our damage assessment AI models on images provided by Planet and have mapped out the affected buildings. The images cover Passamainty in Mayotte.


We assessed 3,875 buildings in the area, with damage levels as follows:

1,426 buildings are between 0% and 20% damaged

136 buildings are between 20% and 40% damaged

92 buildings are between 40% and 60% damaged

62 buildings are between 60% and 80% damaged

2,159 buildings are between 80% and 100% damaged

Tags: cyclones-hurricanes-typhoons, damage assessment, geodata, natural disasters
Organization: Microsoft AI for Good Lab
Australia: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Austria: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Azerbaijan: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus
Burundi: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet.  
The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.    
The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Tags: facilities-infrastructure, populated places-settlements, population
Organization: Copernicus