Date ( Creation )

2020-09-18

Date ( Publication )

2020-09-18

Edition

01.00

Identifier

copernicus_r_3035_10_m_tcd-2018_p_2018_v01_r00

Maintenance and update frequency

Continual

GEMET - INSPIRE themes, version 1.0 ( Theme )

• Land cover

Keywords

Continents, countries, sea regions of the world. ( Place )

• EEA38 (from 2020)
• United Kingdom

Keywords

GEMET ( Theme )

• forest management
• land cover
• landscape alteration
• land use
• tree

Spatial scope ( Theme )

• European

Access constraints

Other restrictions

Other constraints

No limitations to public access

Use constraints

Other restrictions

Other constraints

Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users.

Free, full and open access to this data set is made on the conditions that:

1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.

2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.

3. Where that data or information has been adapted or modified, the user shall clearly state this.

4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.

Aggregate Datasetindentifier

8bfbda74-7b62-4659-96dd-86600ea425a2

Association Type

Cross reference

Aggregate Datasetindentifier

91687ef2-f907-4f84-81f7-c9c81980c306

Association Type

Cross reference

Spatial representation type

Grid

Distance

10 m

Metadata language

en

Character set

UTF8

Topic category

• Environment
• Imagery base maps earth cover

Begin date

2018-03-01

End date

2018-10-31

Unique resource identifier

EPSG:3035

Distribution format

• GTiff ( 1.0 )

OnLine resource

https://land.copernicus.eu/pan-european/high-resolution-layers/forests/tree-cover-density/status-maps/tree-cover-density-2018 ( WWW:LINK-1.0-http--link )

OnLine resource

https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensity_2018/ImageServer ( ESRI:REST )

OnLine resource

https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensity_2018/ImageServer/WMSServer?request=GetCapabilities&service=WMS ( OGC:WMS )

Hierarchy level

Dataset

Statement

Hierarchical spatio-temporal classification of time features derived from Sentinel-2A+B time series (Level-2A data) using a Random Forest (RF) classifier with 200 trees. The selected time window ranges from 01-03-2018 to 31-10-2018 and covers the whole reference year 2018. In total, 59 statistical time features have been calculated using more than 138,000 samples, automatically collected from the LUCAS 2018 database and various CLMS products plus additional manual sampling. First, a binary Tree Cover Mask (TCM) with 2 classes (all non-tree covered areas / tree cover) has been generated. Various post-processing steps have been applied in order to improve the quality of the mask (e.g. correction of omission errors caused by the topographic overcorrection within the native Sentinel-2 Level-2A input data). Subsequently, Tree Cover Density values have been classified within the confines of the Tree Cover Mask by a multiple linear regression algorithm using more than 33,000 samples. The final product will be accompanied by a series of quality layers (Confidence Layer, Data Score, Layer, Parent Scene Identification Layer).

Quality assurance follows the ISO 9001:2015 standards for Quality Management and comprises of dedicated procedures of quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracy to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) positional accuracy, (iv) Thematic Accuracy, (v) Temporal quality and (vi) Usability.

Geometric accuracy (positioning scale): Less than one pixel (10m) according to ortho-rectified satellite image base (Sentinel-2 Level-2A) delivered by ESA.

Thematic target accuracy: 90% producer and user accuracy.

Preliminary validation results TCD (30% density threshold): 96.43% overall accuracy with a 95% confidence level applied (no tree cover: 98.62% producer accuracy, 95.92% user accuracy; tree cover: 92.52% producer accuracy; 97.40% user accuracy).

Thematic accuracy has been assessed using a stratified random sampling approach with 9,695 points (area weighted), visually interpreted using VHR_IMAGE_2018 data and Sentinel-2 time series data, complemented by additional data sources like virtual globes (e.g. Google Earth Pro).

More information about this product can be found in the HRL Forest 2018 product specifications here: https://land.copernicus.eu/user-corner/technical-library/forest-2018-user-manual-v1-0.pdf

gmd:MD_Metadata

File identifier

486f77da-d605-423e-93a9-680760ab6791 XML

Metadata language

en

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2021-11-08T18:44:12

Metadata standard name

ISO 19115/19139

Metadata standard version

1.0