Burnt Area Product - Sentinel-3 - Europe, Monthly

This data set represents the monthly, accumulated results of the final (10-day) version of the fire perimeters from the "Burnt Area Daily NRT Incremental Product - Europe, Sentinel-3" dataset.

The burn perimeters are spatially and temporally correlated, so that interrelated detections from consecutive observations are combined into a single feature.

A perimeter is interpreted as belonging to a given event if a spatial overlap exists within a time frame of 15 days. Besides the geometry, attribute information is also combined while considering the size of the perimeter as a weighting factor.

Each feature contains information about the final fire perimeter, Date/Time of the first detection, and the averaged burn severity.

Identification

Data identification

Citation

Date (Creation)
2022-04-01T00:00:00
Citation identifier
https://geoservice.dlr.de/catalogue/srv/metadata/c657789d-5d9f-4af1-bbfb-c20ab631726e
Presentation form
Digital map
Purpose

This dataset contains the quality enhanced burnt areas (detected using Sentinel-3 imagery) for Europe, combined for single months.
Status
ongoing
Author
  German Aerospace Center (DLR) - Michael Nolde
Author
  German Aerospace Center (DLR) - Florian Fichtner
Author
  German Aerospace Center (DLR) - Torsten Riedlinger
Distributor
  German Aerospace Center (DLR) - ( )
Maintenance and update frequency
Monthly
Keywords

  • Burnt Area

  • Sentinel-3

  • Europe

  • Near-Realtime

  • Burn Severity

  • time-series

  • monthly

  • inspireidentifiziert

GEMET - INSPIRE themes, version 1.0

  • Natural risk zones
Spatial scope
Use limitation

Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.

Legal constraints

Access constraints
Other restrictions
Other constraints
Es gelten keine Zugriffsbeschränkungen

Legal constraints

Use constraints
Other restrictions
Other constraints

Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by-nc/4.0 / terms of use: https://creativecommons.org/licenses/by/4.0/

Other constraints

{"id": "cc-by/4.0",

"name": "Creative Commons Namensnennung – 4.0 International (CC BY 4.0)",

"url": " http://dcat-ap.de/def/licenses/cc-by/4.0 ",

"quelle": "Copyright DLR (year)"}
Spatial representation type
Vector
Denominator
600000
Language
English
Character set
UTF8

Extent

N
S
E
W
thumbnail


Begin date
2016-04-01
 

Distribution

Distribution

Distribution format
  • GeoPackage ()

Digital transfer options

OnLine resource
BURNTAREA_S3_EFR_P1M ( OGC:WMS )

WMS Access: Burnt Areas Europe Monthly

OnLine resource
https://geoservice.dlr.de/eoc/demo/wms?SERVICE=WMS%26REQUEST=GetCapabilities ( OGC:WMS-http-get-capabilities )
OnLine resource
EOC Geoservice map context ( WWW:LINK-1.0-http--link )
OnLine resource
Burnt Areas - EOC News ( WWW:LINK-1.0-http--link )
OnLine resource
UKIS Data Tutorials - Burnt Area Products ( WWW:LINK-1.0-http--link )
 

Quality

Data quality

Hierarchy level
Series

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Citation

Date (Publication)
2010-12-08
Explanation

See the referenced specification
Pass
Yes

Lineage

Statement

The product is based on mid resolution, optical data from the Sentinel-3 A/B OLCI sensor level 1 NRT product. It utilizes information from the red and near-infrared domain, in combination with thermal anomaly data from the MODIS and VIIRS sensors
Description

Burnt Area Daily NRT Processing:

Processing:

The burnt area segmentation method is based on the morphological snakes algorithm in combination with a region growing approach. A differential NDVI mosaic is used as the basis for the segmentation.

The methodology is described here: https://www.mdpi.com/2072-4292/12/13/2162/html .

An application of the methodology is found here: https://www.mdpi.com/2072-4292/13/24/4975/html


Quality Assurance:

The product has been thoroughly tested against reference datasets provided by NASA, ESA and the Joint Research Center of the European Union

(JRC). The results of the inter-comparison can be found in the following publication:

Michael Nolde, Simon Plank, Torsten Riedlinger. (2020, July 6). An Adaptive and Extensible System for Satellite-Based, Large Scale Burnt Area

Monitoring in Near-Real Time. Remote Sens. 2020, 12, 2162. https://doi.org/10.3390/rs1213216 2

 

Spatial rep.

Vector spatial representation

Topology level
Geometry only

Geometric objects

Geometric object type
Surface
 

Ref. system

Unique resource identifier
EPSG:3035
 

Metadata

Metadata

File identifier
c657789d-5d9f-4af1-bbfb-c20ab631726e XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name

Dataseries
Date stamp
2025-07-22T06:56:27
Metadata standard name

ISO 19115-1:2014/19139
Metadata standard version

2003/Cor.1:2006
Point of contact
  German Aerospace Center (DLR)
 
 

Overviews

overview
large_thumbnail
overview
thumbnail

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Natural risk zones

Provided by

Access to the portal

Associated resources

Not available