Dominant Leaf Type 2018 (raster 10 m), Europe, 3-yearly, Sep. 2020

This metadata refers to the HRL Forest 2018 primary status layer Dominant Leaf Type (DLT). The DLT raster product provides a basic land cover classification with 3 thematic classes (all non-tree covered areas, broadleaved and coniferous) at 10m spatial resolution and covers the full of EEA38 area and the United Kingdom. The production of the High Resolution Forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.

The HRL Forest product consists of 3 types of (status) products and additional change products. The status products are available for 2012, 2015, and 2018 reference years:

1. Tree cover density (TCD) (level of tree cover density in a range from 0-100%)

2. Dominant leaf type (DLT) (broadleaved or coniferous majority)

3. Forest type product (FTY). The forest type product allows to get as close as possible to the FAO forest definition. In its original (10m (2018) / 20m (2012, 2015)) resolution it consists of two products: a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps (now only available on demand), based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and imperviousness 2009 data). For the final 100 m product trees under agricultural use and urban context from the support layer are removed.

NEW for 2018: the 10m 2018 reference year FTY product now also has the agricultural/urban trees removed. In the past this was done only for the 100m product, now it is consistently applied for both the 10m and the 100m FTY products.

This dataset is provided as 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles grouped according to the EEA38 countries and the United Kingdom.

You can find more information about the product here: https://land.copernicus.eu/en/products/high-resolution-layer-dominant-leaf-type/dominant-leaf-type-2018.

Date (Creation): 2020-09-18

Date (Publication): 2020-09-18

Edition: 01.00

Citation identifier: copernicus_r_3035_10_m_dlt-2018_p_2018_v01_r00

Code: 10.2909/7b28d3c1-b363-4579-9141-bdd09d073fd8

Point of contact

Organisation name	Electronic mail address	Website	Role
European Commission		https://commission.europa.eu	Owner
Copernicus Land Monitoring Service	copernicus@eea.europa.eu	https://land.copernicus.eu	Custodian
European Environment Agency	sdi@eea.europa.eu	http://www.eea.europa.eu	Publisher
Copernicus Land Monitoring Service helpdesk	copernicus@eea.europa.eu	https://land.copernicus.eu/en/contact-service-helpdesk	Point of contact

Maintenance and update frequency: Continual

GEMET - INSPIRE themes, version 1.0

Land cover

Keywords

Continents, countries, sea regions of the world.

United Kingdom
EEA38 (from 2020)

Keywords

GEMET

land cover
forest management
forest
leaf
landscape alteration
land use

Spatial scope

European

EEA topics

Land use
Biodiversity
Agriculture and food

Access constraints: Other restrictions

Other constraints: no limitations to public access

Use constraints: Other restrictions

Other constraints: The Copernicus component is governed by Regulation (EU) No 2021/696 of the European Parliament and of the Council of 28 April 2021 establishing the Union Space Programme and the European Union Agency for the Space Programme and repealing Regulations (EU) No 912/2010, (EU) No 1285/2013 and (EU) No 377/2014 and Decision No 541/2014/EU. Within the Copernicus component, a portfolio of land monitoring activities has been delegated by the European Union to the European Environment Agency (EEA) and the DG Joint Research Centre of the European Commission.

The Copernicus land monitoring products and services are made available on a principle of full, open and free access, as established by the Commission Delegated Regulation (EU) No 1159/2013 of 12 July 2013.

Free, full and open access to the products and services of the Copernicus Land Monitoring Service is made on the conditions that:

1. When distributing or communicating Copernicus Land Monitoring Service products and services (data, software scripts, web services, user and methodological documentation and similar) to the public, users shall inform the public of the source of these products and services.

2. Where the Copernicus Land Monitoring Service products and services have been adapted or modified by the user, the user shall clearly state this.

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

Aggregate Datasetindentifier: 47e32c1d-f025-4622-934a-f1b63572609f

Association Type: Cross reference

Aggregate Datasetindentifier: 5afeffa4-ccda-4ef9-a7ef-637cb7310f58

Association Type: Cross reference

Spatial representation type: Grid

Distance: 10 m

Language of dataset: English

Character set: UTF8

Topic category

Environment
Imagery base maps earth cover

Begin date: 2018-03-01

End date: 2018-10-31

Coordinate reference system identifier: EPSG:3035

Distribution format

GeoTIFF ( 1.0)

OnLine resource

Protocol	Linkage	Name
ESRI:REST	https://copernicus.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_DominanteLeafType_2018/ImageServer
OGC:WMS	https://copernicus.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_DominanteLeafType_2018/ImageServer/WMSServer?request=GetCapabilities&service=WMS
WWW:LINK-1.0-http--link	https://land.copernicus.eu/en/products/high-resolution-layer-dominant-leaf-type/dominant-leaf-type-2018#Download	Download (requires authentication)

OnLine resource

Protocol	Linkage	Name
DOI	https://doi.org/10.2909/7b28d3c1-b363-4579-9141-bdd09d073fd8

Hierarchy level: Dataset

Conformance result

Title: Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication): 2010-12-08

Explanation: See the referenced specification

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, the DLT has been seperately classified within the confines of the Tree Cover Mask. 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.

Validation results DLT: 96.52% overall accuracy with a 95% confidence level applied (broadleved: 95.62% producer accuracy and 90.21% user accuracy; coniferous: 93.39% producer accuracy and 96.64% 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).