JRC Data Catalogue
DATASETCompleted

Forest fire damage assessment and landslide risk, Madeira Island, Portugal (2016-11-11)

QR code

Activation date: 2016-11-11

Event type: Other

Activation reason:

This activation focuses on damage assessment and landslide risk assessment relating to major forest fires in the municipalities of Funchal and Calheta, Madeira in August 2016. Key assets (infrastructure, environment, human life, economic sustainability, etc.) are also identified and related with the severity of impact. The service involves:Post‐disaster assessment referring to loss of forest resources: Damage extent and gradingPre‐disaster mapping through an evaluation and assessment of landslide riskTo optimize the efficiency of the preventative measures to be implemented, risk maps (landslides) and damages maps (burnt areas, grading) at large scale (1:5,000) were generated.The core users are the Autoridade Nacional Proteção Civil (ANPC) and the Institute of Nature Conservation and Forests (ICNF) of Portugal.The method used for burnt area delineation and burnt severity grading is based on thresholding of spectral indices, namely the NDVI and its differentiation in time (dNDVI) derived from pre-fire Pléades image and post fire (two dates) SPOT 6 and 7 acquisitions. Another index which was also calculated and used in combination with the NDVI/dNDVI is the Enhanced Vegetation Index (EVI) and its time differentiation dEVI.For the assessment of landslide risk, the Norwegian Geotechnical Institute (NGI) methodology was employed, which is a function of slope gradient, lithology, vegetation cover and soil moisture and based on a triggering factor of 100 year extreme monthly precipitation.  Landslide risk was computed by overlaying the vulnerability assessment with the hazard map and it is categorized at different levels, based on the likelihood of landslide occurrence where assets are exposed, following the risk matrix of the European Commission “Overview of natural and man‐made disaster risks in the EU” (COM 2014).Tables on each map indicate the number of residents, built up surface area, the number of Points of Interest (POIs) and road segments (km) of the exposed elements at various risk levels (Very Low, Low, Medium, High, Very High). 

How to cite

European Commission, Joint Research Centre (2026): Forest fire damage assessment and landslide risk, Madeira Island, Portugal (2016-11-11). [Dataset] doi: 10.2905/JRC.FRJMM70 PID: http://data.europa.eu/89h/41ce59e3-0acd-427b-bc20-98ce1cf30f8a

Keywords

CEMSCopernicusCopernicus Emergency Management ServiceCopernicus Emergency Management Service Risk and Recovery Mapping ActivationCopernicus EMSCopernicus ServiceEmergencyEmergency ManagementEMSN031MappingOtherPortugalPRTRisk 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
2016-11-11
Created date
02 Mar 2026 17:07
Modified date
16 Aug 2021 06:51
Landing page
Dataset identifier
Other identifiers
Rate this page
Please vote (optional).
An unhandled error has occurred. Reload 🗙