Tree Canopy Cover Loss Monthly - Landsat-8/Sentinel-2 - Germany, 2018-2021

The product shows tree canopy cover loss in Germany between January 2018 and April 2021 at monthly temporal and 10 m spatial resolution. The basic principle behind this map is to compute monthly composites of the disturbance index (DI, Healey et al. 2005), a spectral index sensitive to forest disturbance, from all available Sentinel-2 and Landsat-8 data with less than 80 % cloud cover. These monthly composites are then compared to a median composite of the DI for 2017, which serves as a reference. After applying a threshold to the difference image, the time series of detected losses is checked for consistency. Only losses recorded continuously in all observations of a pixel until the end of the time series are considered. The dataset does not differentiate between the drivers of the losses. It depicts areas of natural disturbances (windthrow, fire, droughts, insect infestation) as well as sanitation and salvage logging, and regular forest harvest. The full description of the method and results can be found in Thonfeld et al. (2022).
 
Citation proposal
German Aerospace Center (DLR). Tree Canopy Cover Loss Monthly - Landsat-8/Sentinel-2 - Germany, 2018-2021. https://gdk.gdi-de.org/geonetwork/srv/api/records/3a5f8f67-aede-4325-aee6-83330ea046f1
 

INSPIRE

Identification

File identifier
3a5f8f67-aede-4325-aee6-83330ea046f1   XML
Hierarchy level
Dataset
Online resource
Protocol
WWW:LINK-1.0-http--link
Protocol
OGC:WMS
Protocol
WWW:LINK-1.0-http--link
Protocol
WWW:LINK-1.0-http--link
Resource identifier
code
https://geoservice.dlr.de/catalogue/srv/metadata/3a5f8f67-aede-4325-aee6-83330ea046f1
Metadata language
English
Spatial representation type
Grid
Encoding
Format
GeoTIFF
Projection
 

Classification of data and services

Topic category
  • Biota
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Keywords

GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Land cover
Spatial scope ( Place )
Other keywords
Keywords
  • opendata
  • Forest
  • Canopy Cover Loss
  • Drought
  • Disturbance Index
  • Sentinel-2
  • Landsat-8
  • Germany
 
 

Geographic coverage

N
S
E
W


 

Temporal reference

Temporal extent
Temporal extent
Date ( Creation )
2022-08-11T00:00:00
 

Quality and validity

Lineage
All Sentinel-2 and Landsat-8 data since 2017 available through the Google Earth Engine (GEE) with less than 80 % cloud cover were used.
Denominator
20000
 

Conformity

Conformity
Conformity
 

Conformity

Conformity
Conformity
Explanation
See the referenced specification.
 

Restrictions on access and use

Access constraints
Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/
Access constraints

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

"name": "Creative-Commons - Attribution 4.0 International (CC BY 4.0)",

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

"quelle": "Copyright DLR (2022)"}

 

Restrictions on access and use

 

Responsible organization (s)

Contact for the resource
Organisation name
German Aerospace Center (DLR)
Email
Frank.Thonfeld@dlr.de
Organisation name
German Aerospace Center (DLR)
Email
geoservice@dlr.de
 

Responsible organization (s)

Contact for the resource
Organisation name
German Aerospace Center (DLR)
Email
Frank.Thonfeld@dlr.de
Organisation name
German Aerospace Center (DLR)
Email
geoservice@dlr.de
 

Metadata information

Contact for the metadata
Organisation name
German Aerospace Center (DLR)
Email
geoservice@dlr.de
Date stamp
2025-02-03T08:34:48
Metadata language
English
Character set
UTF8
 
 

SDS

Conformance class 1: invocable

Access Point URL
Endpoint URL
Technical specification
 

Conformance class 2: interoperable

Coordinate reference system
 
Quality of Service
 
Access constraints
Limitation
 
Use constraints
Limitation
 
Responsible custodian
Contact for the resource
 
 

Conformance class 3: harmonized

 
 

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