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This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF) for Venezuela (Bolivarian Republic of). CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR918. On 13 August 2026 at 12:00 CET, a wildfire started in the Chalkidiki Regional Unit of the Central Macedonia Region, Greece, near the village of Siviri. The residents of Siviri and Fourka were evacuated, while more than 170 firefighters and 15 aerial assets were involved in suppression operations, supported by municipal machinery and volunteer organisations. Copernicus EMS Rapid Mapping was requested to provide initial rough estimation, fire extent and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR918 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

OpenStreetMap and Overture Maps vector layers for the full Bhote Koshi and Trishuli river corridor in Bagmati and Gandaki Provinces, Nepal, for the 2026 flood response. The area of interest is a 1 km buffer around the river centrelines, covering 317.51 square kilometres, running from Rasuwagadhi on the China border to the Narayani confluence at Devghat in Chitwan. It crosses six districts, Rasuwa, Nuwakot, Dhading, Gorkha, Tanahu and Chitawan, and twenty municipalities. The corridor merges the original partner shapefile for the upper reach with OCHA's HPCS 1 km corridor for the downstream reach. This is the wide planning view: it covers the whole corridor under assessment, not only the ground that flooded. **For data limited to the area that actually flooded, use [Nepal Flood 2026 Flood Affected Area](https://data.humdata.org/dataset/hot_flood_npl),** which clips every layer to the observed inundation footprint of 27 August 2026 and a 200 m margin around it. Every layer holds what is standing and what has been lost, so a download is not missing the features mappers have marked as destroyed. `status` says Standing, Damaged or Destroyed. The **Destroyed and Damaged Features** layer g…

GDACS alerts are issued for earthquakes and possible subsequent tsunamis, tropical cyclones, floods and volcanoes. Earthquake, tsunami and tropical cyclones calculations and assessments are done automatically, without human intervention. Floods and volcanic eruptions are currently manually introduced. Research and development is continuous to improve the global monitoring.

OpenStreetMap and Overture Maps vector layers for the area flooded in the 2026 Bhote Koshi and Trishuli flood, Nepal, and the ground immediately around it. The area of interest is the observed flood extent of 27 August 2026 widened by 200 metres, 90.11 square kilometres in total. The flood extent was mapped from drone, Landsat, PlanetScope and Sentinel imagery and covers 31.70 square kilometres. It is published here as its own resource, so the water line can be separated from the margin around it. The 200 m margin includes buildings and roads next to the water, not only those in it. Being in this dataset does not mean a feature was flooded. Use the Flood Extent resource for the water only. The extent spans Bagmati and Gandaki Provinces, five districts, Rasuwa, Nuwakot, Dhading, Gorkha and Chitawan, and sixteen municipalities, following the river from Rasuwagadhi to the Narayani confluence. Presence in this dataset does not by itself mean a feature was damaged or destroyed. Every layer holds what is standing and what has been lost, so a download is not missing the features mappers have marked as destroyed. `status` says Standing, Damaged or Destroyed. The **Destroyed and Damaged Fea…

**ADAM ID: **[1001313\_4](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001313) Tropical storm during the period Aug 27 2026-Aug 28 2026 in Guadeloupe, Antigua and Barbuda, Montserrat, Saint Kitts and Nevis. The center of the storm was located near latitude 14.5 longitude -44.8. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains. The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access. As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO). At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 l…

This dataset lists project funding allocations from OCHA's Central Emergency Response Fund (CERF) for Democratic Republic of the Congo. CERF allocations are made to ensure a rapid response to sudden-onset emergencies or to rapidly deteriorating conditions in an existing emergency and to support humanitarian response activities within an underfunded emergency.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR920. On 13 August 2026 at 12:55, an active wildfire is reported to have affected the Huertgen Forest in the county of Dueren, North Rhine-Westphalia, Germany. The wildfire is ongoing and spreading, with the fire covering more than 30 ha and approaching the village of Huertegenwald-Gey, which has been evacuated; firefighting operations involve more than 200 personnel and multiple helicopters, while explosions have been reported due to unexploded WWII-era munitions in the forest. On August 14, 2026, a new fire occured in High Fens Natural Reserve with geographical closeness to the border to Germany and the active wildfire in Huertgen Forest. Copernicus EMS Rapid Mapping is requested to provide initial rough estimation, fire extent delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR920 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure)…

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

**ADAM ID: **[1001311\_11](https://api.adam.geospatial.wfp.org/api/collections/adam.adam_ts_events/items?event_id=1001311) Category 2 during the period Aug 26 2026-Aug 28 2026 in United States Minor Outlying Islands. The center of the storm was located near latitude 20.5 longitude 167.0. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR922. Starting from 14 August at 22:00 UTC a wildfire started to spread on different areas. The event is ongoing and the most serious fires are currently near Herceg Novi (Bijela and Baošići) and Ulcinj, where strong winds have helped the fires spread. Several homes were threatened, and some residents were temporarily evacuated as a precaution. Additional fires have been reported near Bar, Nikšić, Kolašin, and Cetinje. Firefighters, volunteers, military , and AFFF with planes and helicopters are actively engaged. Copernicus EMS Rapid Mapping is requested to provide burnt area delineation and damage assessment emergency mapping **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR922 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). **FEP (First Estimate Product)**: a rapid, less precise product released shortly after activation for immediate situational awareness; excluded from this da…

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR923. On 15 August 2026 at 13:50 CET, a wildfire started on the island of Skyros, in the Region of Sterea Ellada, near the village of Atsitsa, burning dense pine forest. At that time, the fire was ongoing, and more than 80 firefighters and 11 aerial assets were deployed for fire suppression operations, assisted by municipal vehicles and machinery, as well as volunteer organizations. Copernicus EMS Rapid Mapping was requested to provide an initial rough estimation, fire extent delineation, and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR923 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR921. On 10 August at approximately 10:00 UTC, a wildfire spread across the area. It affected the transition zone between natural, agricultural, and cultural heritage areas, with an estimated burned area of nearly 13,000 hectares. Preventive evacuations were ordered for 18 localities across the municipalities of Las Peñas de Riglos, Bailo, Jaca, Santa Cilia de Jaca, Santa Cruz de la Serós, and Caldearenas. The fire spread along the entire perimeter, remaining out of control. Copernicus EMS Rapid Mapping was requested to provide burnt area delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR921 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zip…

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR924. Since August 14, severe wildfires were affecting the Friuli-Venezia Giulia region, with multiple fire fronts. The most serious situation occurred on August 15 on Mount Amarianute, where the flames reached the town of Tolmezzo forcing the regional civil protection agency to evacuate several people from their homes. Copernicus EMS Rapid Mapping was requested to provide initial rough estimation, a burnt area delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR924 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR927. On the 26 August 2026, a flash flood reportedly triggered by a Glacial Lake Outburst Flood (GLOF) in Nepal has caused significant damage in Rasuwa District. There is a 7 m-deep water level recorded by monitoring stations. Copernicus EMS Rapid Mapping is requested to provide flood extent and damage assessment emergency mapping. GDACS ID: FL1104124. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR927 **Product types present in this dataset's resources:** **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR925. On 20 August 2026 afternoon, a wildfire was reported to have affected Segorbe area, in Spain’s Castellón province near the Calderona Natural Park. The event was ongoing and spreading on 21 August. Copernicus EMS Rapid Mapping was requested to provide burnt area delineation and damage assessment emergency mapping. **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR925 **Product types present in this dataset's resources:** **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others.