HedgeRows - Bavaria, 2019-2021

Hedgerows play an important role in maintaining biodiversity, carbon sequestration, soil stability and the ecological integrity of agricultural landscapes. In this dataset, hedgerows are mapped for the whole of Bavaria. Orthophotos with a spatial resolution of 20 cm, taken in the period from 2019 to 2021, were used in a deep learning approach. Hedgerow polygons of the Bavarian in-situ biotope mapping from 5 districts (Miltenberg, Hassberge, Dillingen a.d. Donau, Freyung-Grafenau, Weilheim-Schongau) as well as other manually digitized polygons were used for training and testing as input into a DeepLabV3 Convolutional Neural Network (CNN). The CNN has a Resnet50 backbone and was optimized with the Dice loss as a cost function. The generated hedgerow probability tiles were post-processed by merging and averaging the overlapping tile boundaries, shape simplification and filtering. For more details, see Huber Garcia et al. (2025). The dataset has been created within the project FPCUP (https://www.copernicus-user-uptake.eu/) in close cooperation with Bayerisches Landesamt für Umwelt (LfU).

Citation proposal
German Aerospace Center (DLR) - German Aerospace Center (DLR). HedgeRows - Bavaria, 2019-2021. https://gdk.gdi-de.org/geonetwork/srv/api/records/88438fae-9fe5-4f55-9f4d-1a73778bf62c

INSPIRE
SDS

INSPIRE

Identification

File identifier: 88438fae-9fe5-4f55-9f4d-1a73778bf62c XML

Hierarchy level: Dataset

Online resource

Protocol: OGC:WMS

Protocol: WWW:LINK-1.0-http--link

Protocol

Protocol: WWW:LINK-1.0-http--link

Resource identifier

code: https://geoservice.dlr.de/catalogue/srv/metadata/88438fae-9fe5-4f55-9f4d-1a73778bf62c

Metadata language: English English

Spatial representation type: Grid

Encoding

Format: Geopackage

Projection

Classification of data and services

Topic category

Farming

Classification of data and services

Coupled resource

Classification of data and services

Coupled resource

Keywords

GEMET - INSPIRE themes, version 1.0 ( Theme )

Land cover

Spatial scope ( Place )

Regional

Other keywords

Keywords

DLR
EOC
opendata
Hedges
Hedgerows
Habitats
Linear Woody Vegetation
High-Diversity Landscape Features
Biotopes
Orthophotos
CNN
DeepLabV3

Geographic coverage

Temporal reference

Temporal extent

Date ( Creation ): 2025-07-01T09:00:00

Quality and validity

Lineage: RGB orthophotos with a spatial resolution of 20 cm were used as earth observation data, which were taken between April 2019 and September 2021 by the Bavarian State Office for Digitization, Highspeed Internet and Surveying. Hedgerow data from the federal biotope mapping of the Bavarian Environmental Agency as well as manually digitalized hedgerow shapes are used for training, validation and testing.