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Burnt Area Monthly Product - Sentinel-3 - Europe
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.
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Citation proposal
Michael Nolde (German Aerospace Center (DLR)) - Florian Fichtner (German Aerospace Center (DLR)) - Torsten Riedlinger (German Aerospace Center (DLR)). Burnt Area Monthly Product - Sentinel-3 - Europe. https://gdk.gdi-de.org/geonetwork/srv/api/records/c657789d-5d9f-4af1-bbfb-c20ab631726e |
Simple
- Date ( Creation )
- 2022-04-01T00:00:00
- 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
Distributor
- 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 ( Theme )
-
- Natural risk zones
- Spatial scope ( Place )
- 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.
- Access constraints
- Other restrictions
- 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
- Metadata language
- English
- Character set
- UTF8
- Topic category
-
- Environment
))
- Topology level
- Geometry only
- Geometric object type
- Surface
- Distribution format
-
- GeoPackage ()
- OnLine resource
-
BURNTAREA_S3_EFR_P1M
WMS Access: Burnt Areas Europe Monthly
- OnLine resource
-
EOC Geoservice map context
EOC Geoservice map context
- OnLine resource
-
Burnt Areas - EOC News
Burnt Areas - EOC News
- OnLine resource
-
UKIS Data Tutorials - Burnt Area Products
UKIS Data Tutorials - Burnt Area Products
- Hierarchy level
- Series
Domain consistency
- Measure identification
- INSPIRE / Conformity_001
Conformance result
- Date ( Publication )
- 2010-12-08
- Explanation
- See the referenced specification
- Pass
- true
- 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/rs12132162
gmd:MD_Metadata
- File identifier
- c657789d-5d9f-4af1-bbfb-c20ab631726e XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Series
- Hierarchy level name
- Dataseries
- Date stamp
- 2024-11-11T08:45:39
- Metadata standard name
- ISO 19115-1:2014/19139
- Metadata standard version
- 2003/Cor.1:2006
Point of contact
Overviews
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