JRC Data Catalogue
DATASETCompleted

Mass movement in Madeira, Portugal (2021-03-12)

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Activation date: 2021-03-12

Event type: Mass movement

Activation reason:

A storm brought strong winds and heavy rain to parts of the Portuguese island of Madeira on 25 December 2020 . Flooding and landslides were reported in the municipality of São Vicente. Local media reported 20 people were evacuated in Ponta Delgada and 7 in Boaventura. One house was destroyed and several others severely damaged. Dozens of roads were closed, leaving some areas isolated, and power lines were downed leaving many residents without electricity. Several areas recorded more than 100 mm of rain in 24 hours to 25 December 2020, with the highest total seen in Porto Moniz which recorded 161 mm of rain. The goal of the activation is to get a more accurate picture of the mass movements induced by the heavy rainfalls that occurred over the period ranging from 25/12/2020 to 08/01/2021, for an area of interest located over Santana and its surroundings.Proposed solution and resultsA pre-event reference dataset (P02.1) and a post-event LULC-CLC (P03.2) produced by mean of visual interpretation.P02.1 Reference dataset (1:5,000)P03.2 LULC-CLC @ 1:25,000 UpdateA detailed damage assessment (P08.1) by and a reconstruction monitoring (P09) performed by photo-interpretation of VHR satellite imagery acquired on the 10.02.2021 and 18.04.2021 respectively.A post-disaster landslide risk assessment (P17) based on P03.2.P17 Landslide risk assessmentPopulation exposure to landslide (P14)An Impact assessment analysis on assets and population (P14) performed with P08.1 results and WorldPop (2020) population data. In addition, an exposure analysis on assets and population is produced regarding the landslide hazard provided by P17.A Digital Surface Model based on optical VHR data has been generated from post-event tri-stereo VHR satellite imagery acquired on the 18.08.2021.Digital Surface Model (P01.1)

How to cite

European Commission, Joint Research Centre (2026): Mass movement in Madeira, Portugal (2021-03-12). [Dataset] doi: 10.2905/JRC.85ZDWWG PID: http://data.europa.eu/89h/33111719-b8ed-442a-8aa6-9d56fcf40ba2

Keywords

CEMSCopernicusCopernicus Emergency Management ServiceCopernicus Emergency Management Service Risk and Recovery Mapping ActivationCopernicus EMSCopernicus ServiceEmergencyEmergency ManagementEMSN089MappingMass movementPortugalPRTRisk and Recovery Mapping

Data access

Esri File Geodatabase

GDB is an Esri's file-based geodatabase format, stored as folders in a file system. It shall be used for Esri file geodatabases. The file is a zip archive that contains the gdb directory.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Maps produced in scope of this Copernicus EMS Risk and Recovery Mapping activation downloadable as georeferenced PDFs, TIFFs and JPEGs together with relevant geodatabase (GDB) and complete final report as well.

Spatial coverage

Lineage information

No additional information

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-data-support (at) ec.europa.eu
Update frequency
unknown

The event occurs with unknown regularity.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Regions and cities

dataset theme covering the domains of regions and cities, where regions is defined by political geography units including sovereign states, subnational administrative areas, and multinational groupings, and cities are characterised as large human settlements

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Issued date
2021-03-12
Created date
02 Mar 2026 17:07
Modified date
10 Jan 2022 09:41
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Dataset identifier
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