Burnt Area Yearly Product - Sentinel-3 - Europe

This data set represents the yearly, 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

Citation proposal
Michael Nolde (German Aerospace Center (DLR)) - Florian Fichtner (German Aerospace Center (DLR)) - Torsten Riedlinger (German Aerospace Center (DLR)). Burnt Area Yearly Product - Sentinel-3 - Europe. https://gdk.gdi-de.org/geonetwork/srv/api/records/5801000c-4b4a-4d72-8b3d-a6e28ebe0e11

Identification

Data identification

Citation

Date ( Creation ): 2022-04-01T00:00:00

Edition

Identifier: https://geoservice.dlr.de/catalogue/srv/metadata/5801000c-4b4a-4d72-8b3d-a6e28ebe0e11

Presentation form: Digital map

Other citation details

Purpose: This dataset contains the quality enhanced burnt areas (detected using Sentinel-3 imagery) for Europe, combined for single years.

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: yearly

Keywords

opendata
Burnt Area
Sentinel-3
Europe
Near-Realtime
Burn Severity
time-series
yearly
inspireidentifiziert

GEMET - INSPIRE themes, version 1.0 ( Theme )

Natural risk zones

Spatial scope ( Place )

European

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

Legal constraints

Use constraints: Other restrictions

Other constraints: 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

Metadata language: English

Character set: UTF8

Topic category

Environment

Extent

Distribution

Distribution format

GeoPackage ()

Digital transfer options

OnLine resource: BURNTAREA_S3_EFR_P1Y
WMS Access: Burnt Areas Europe Yearly

OnLine resource: https://geoservice.dlr.de/eoc/demo/wms?SERVICE=WMS%26REQUEST=GetCapabilities

OnLine resource: EOC Geoservice map context
EOC Geoservice map context

OnLine resource: UKIS Data Tutorials - Burnt Area Products
UKIS Data Tutorials - Burnt Area Products

OnLine resource: Burnt Areas - EOC News
Burnt Areas - EOC News

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: true

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.

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/rs12132162