Tree Canopy Cover Loss Yearly per District - Germany, 2018-2021

The product contains information of tree canopy cover loss in Germany per district (Landkreis) between January 2018 and April 2021 at monthly temporal resolution. The information is aggregated at from the 10 m spatial resolution Sentinel-2 and Landsat-based raster product (Tree Canopy Cover Loss Monthly - Landsat-8/Sentinel-2 - Germany, 2018-2021). The method used to derive this product as well as the mapping results are described in detail in Thonfeld et al. (2022). The map depicts areas of natural disturbances (windthrow, fire, droughts, insect infestation) as well as sanitation and salvage logging, and regular forest harvest without explicitly differentiating these drivers. The vector files contain information about tree canopy cover loss area per forest type (deciduous, coniferous, both) and per year (2018, 2019, 2020, January-April 2021, and January 2018-April 2021) in absolute numbers and in percentages. In addition, the vector files contain the district area and the total forest area per district.

Citation proposal
German Aerospace Center (DLR). Tree Canopy Cover Loss Yearly per District - Germany, 2018-2021. https://gdk.gdi-de.org/geonetwork/srv/api/records/281e0d18-0ae0-449f-88ee-acab8626a77f

Simple

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

Edition

Identifier: https://geoservice.dlr.de/catalogue/srv/metadata/281e0d18-0ae0-449f-88ee-acab8626a77f

Presentation form: Digital map

Other citation details

Purpose: This map shows the tree canopy cover losses in Germany per district from 2018 to 2021.

Status: Completed

Author

German Aerospace Center (DLR) -

Point of contact

German Aerospace Center (DLR)

Maintenance and update frequency: As needed

GEMET - INSPIRE themes, version 1.0 ( Theme )

Land cover

Spatial scope ( Place )

National

Keywords

opendata
Forest
Canopy Cover Loss
Drought
Disturbance Index
Sentinel-2
Landsat-8
Germany

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/4.0/ Terms of use: License, https://creativecommons.org/licenses/by/4.0/

Other 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)"}

Spatial representation type: Vector

Denominator: 20000

Metadata language: English English

Character set: UTF8

Topic category

Biota

Topology level: Full surface graph

Geometric object type: Surface

Geometric object count: 403

Distribution format

Shapefile ()
Geopackage ()

OnLine resource: EOC Geoservice Dataset
EOC Geoservice Dataset

OnLine resource: TREE_CANOPY_COVER_LOSS_HA_ALLFOREST_P1Y
WMS Access: Tree Canopy Cover Loss Germany per District for all forests in HA (2018-2021)

OnLine resource: TREE_CANOPY_COVER_LOSS_HA_CONIFEROUS_P1Y
WMS Access: Per-District statistics of Coniferous Tree Canopy Cover Loss Germany in ha (2018-2021)

OnLine resource: TREE_CANOPY_COVER_LOSS_HA_DECIDUOUS_P1Y
WMS Access: Per-District statistics of Deciduous Tree Canopy Cover Loss Germany in ha (2018-2021)

OnLine resource: TREE_CANOPY_COVER_LOSS_PERC_ALLFOREST_P1Y
WMS Access: Tree Canopy Cover Loss Germany per District for all forests in % (2018-2021)

OnLine resource: TREE_CANOPY_COVER_LOSS_PERC_CONIFEROUS_P1Y
WMS Access: Per-District statistics of Coniferous Tree Canopy Cover Loss Germany in ha (2018-2021)

OnLine resource: TREE_CANOPY_COVER_LOSS_PERC_DECIDUOUS_P1Y
WMS Access: Per-District statistics of Deciduous Tree Canopy Cover Loss Germany in ha (2018-2021)

OnLine resource: HTTP download Tree Canopy Cover Loss Monthly - Germany, 2018-2021
HTTP download Tree Canopy Cover Loss Monthly - Germany, 2018-2021

OnLine resource: Sorge um den deutschen Wald
DLR News - Webpage

Hierarchy level: Dataset

Domain consistency

Measure identification: INSPIRE / Conformity_001

Conformance result

Date ( Publication ): 2010-12-08

Explanation: See the referenced specification.

Pass: true

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

Description

Tree Canopy Cover Loss - Germany 2018-2021 - Processing

Processing:

The Sentinel-2 level 2 surface reflectance dataset available from GEE was processed using sen2cor and the Landsat-8 level 2 dataset is composed of surface reflectance data processed using the land surface reflectance code (LaSRC).

Quality Assurance:

With regard to the spatial accuracy, our assessment based on pixel counts revealed an overall accuracy of 92.8%. The sample-based accuracy assessment revealed an overall accuracy of 98% ± 1% and an area estimate of 643,735 ha ± 120,726 ha canopy cover loss. This map is a modified version of the paper, where we removed low-confidence losses, particularly during early 2018 and the 2020/21 winter.