EOC Geoservice Forest Canopy Cover Loss - Germany

Forest Canopy Cover Loss - Germany - Monthly, 10m

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Biosphere

DLR

EOC

Forest

Canopy Cover Loss

Disturbance

Sentinel-2

Landsat

Multispectral

Germany

This raster dataset shows forest canopy cover loss (FCCL) in Germany at a monthly resolution from September 2017 to September 2024. It is similar to the product developed in Thonfeld et l. (2022) but was fully reprocessed and updated to reveal the most recent forest disturbance dynamics.

The combination of Sentinel-2A/B and Landsat-8/9 data allows for a high temporal resolution while the pixel size of the product is 10 m. The results are clipped to the stocked area 2018 mapped by the Johann-Heinrich-von-Thünen Institute (Langner et al. 2022, https://doi.org/10.3220/DATA20221205151218). The dataset contains predominantly larger canopy openings resulting from different drivers but also larger clusters of standing deadwood. FCCL can result from abiotic (e.g. wind, fire, drought, hail) drivers, biotic (e.g. insects, funghi) drivers or a combination of both as well as from sanitary and salvage logging and planned harvest.

References:

Thonfeld, F., Gessner, U., Holzwarth, S., Kriese, J., da Ponte, E., Huth, J., Kuenzer, C., 2022. A First Assessment of Canopy Cover Loss in Germany’s Forests after the 2018-2020 Drought Years. Remote Sensing 14, 562. DOI: 10.3390/rs14030562

Langner, N., Oehmichen, K., Henning, L., Blickensdörfer, L., Riedel, T., 2022. Bestockte Holzbodenkarte 2018. DOI: 10.3220/DATA20221205151218

Contacts:

Dr. Frank Thonfeld (Producer, Processor) DLR/EOC Land Surface Dynamics

EOC Geoservice (Host) DLR/EOC

Properties:

Released: 2025-05-20
License: CC-BY-4.0
DOI: 10.15489/ef9wwc5sff75

Links:

Concern about German forests (DLR News - February 21, 2022) ^Website

The German forest under climate stress - ForstEO project launched (EOC News - March 24, 2023) ^Website

Items:

FCCL Germany, Monthly

The Forest Canopy Cover Loss (FCCL) shows the forest canopy cover loss in Germany in monthly resolution between September 2017 and September 2024 at 10 m spatial resolution.

Title: Forest Canopy Cover Loss (FCCL) WMS Layers
Endpoint: https://geoservice.dlr.de/eoc/land/wms
Layer: FCCL_DE_P1M
Capabilities: GetCapabilities (XML)
Preview: GetMap (Openlayers)

FCCL Germany, Monthly Result Mask

The Forest Canopy Cover Loss (FCCL) monthly result mask shows a decision tree-based classification of the FCCL layer into intact forest, (consistent) FCCL, and temporal changes in coniferous, deciduous, and unclassified forests.

Title: Forest Canopy Cover Loss (FCCL) WMS Layers
Endpoint: https://geoservice.dlr.de/eoc/land/wms
Layer: FCCL_DE_P1M_MASK
Capabilities: GetCapabilities (XML)
Preview: GetMap (Openlayers)

FCCL Germany, Monthly Observed Changes

The Forest Canopy Cover Loss (FCCL) monthly observed changes displays how often an observation exceeded a threshold. It is also counted in pixels not labeled as FCCL.

Title: Forest Canopy Cover Loss (FCCL) WMS Layers
Endpoint: https://geoservice.dlr.de/eoc/land/wms
Layer: FCCL_DE_P1M_CHANGES
Capabilities: GetCapabilities (XML)
Preview: GetMap (Openlayers)

FCCL Germany, Monthly Percentage of Gaps

The Forest Canopy Cover Loss (FCCL) Percentage of Gaps shows the percentage of gaps (i.e., an observation not exceeding a threshold) in pixels labeled as FCCL.

Title: Forest Canopy Cover Loss (FCCL) WMS Layers
Endpoint: https://geoservice.dlr.de/eoc/land/wms
Layer: FCCL_DE_P1M_GAPS
Capabilities: GetCapabilities (XML)
Preview: GetMap (Openlayers)

Related Datasets:

Forest Canopy Cover Loss - Germany - Monthly, Administrative Level

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Tree Canopy Cover Loss - Germany, 2018-2021

2022-08-11