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Change Detection map of Germany 2016-2019 based on Sentinel-2 data

This change map was produced as an intermediate result in the course of the project incora (Inwertsetzung von Copernicus-Daten für die Raumbeobachtung, mFUND Förderkennzeichen: 19F2079C) in cooperation with ILS (Institut für Landes- und Stadtentwicklungsforschung gGmbH) and BBSR (Bundesinstitut für Bau-, Stadt- und Raumforschung) funded by BMVI (Federal Ministry of Transport and Digital Infrastructure). The goal of incora is an analysis of settlement and infrastructure dynamics in Germany based on Copernicus Sentinel data.

The map indicates land cover changes between the years 2016 and 2019. It is a difference map from two classifications based on Sentinel-2 MAJA data (MAJA L3A-WASP: https://geoservice.dlr.de/web/maps/sentinel2:l3a:wasp; DLR (2019): Sentinel-2 MSI - Level 2A (MAJA-Tiles)- Germany). More information on the two basis classifications can be found here:

https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/metadata/db130a09-fc2e-421d-95e2-1575e7c4b45c

https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/metadata/36512b46-f3aa-4aa4-8281-7584ec46c813

To keep only significant changes in the change detection map, the following postprocessing steps are applied to the initial difference raster:

- Modefilter (3x3) to eliminate isolated pixels and edge effects

- Information gain in a 4x4 window compares class distribution within the window from the two timesteps. High values indicate that the class distribution in the window has changed, and thus a change is likely. Gain ranges from 0 to 1, all changes < 0.5 are omitted.

- Change areas < 1ha are removed

The resulting map has the following nomenclature:

0: No Change

1: Change from low vegetation to forest

2: Change from water to forest

3: Change from built-up to forest

4: Change from bare soil to forest

5: Change from agriculture to forest

6: Change from forest to low vegetation

7: Change from water to low vegetation

8: Change from built-up to low vegetation

9: Change from bare soil to low vegetation

10: Change from agriculture to low vegetation

11: Change from forest to water

12: Change from low vegetation to water

13: Change from built-up to water

14: Change from bare soil to water

15: Change from agriculture to water

16: Change from forest to built-up

17: Change from low vegetation to built-up

18: Change from water to built-up

19: Change from bare soil to built-up

20: Change from agriculture to built-up

21: Change from forest to bare soil

22: Change from low vegetation to bare soil

23: Change from water to bare soil

24: Change from built-up to bare soil

25: Change from agriculture to bare soil

26: Change from forest to agriculture

27: Change from low vegetation to agriculture

28: Change from water to agriculture

29: Change from built-up to agriculture

30: Change from bare soil to agriculture

- Contains modified Copernicus Sentinel data (2016/2019), processed by mundialis

Incora report with details on methods and results: pending

Simple

Date ( Publication )
2020-12-01
Identifier
dataset
Status
On going
Point of contact
mundialis GmbH & Co. KG - ( )

Maintenance and update frequency
Irregular
Keywords ( Theme )
  • Sentinel-2
  • Classification
  • Land Cover
  • mFUND
  • MAJA
  • Infrastuktur
  • Umwelt
  • Regionen und Städte
  • mfund-projekt:incora
  • mfund-fkz:19F2079C
  • Change Detection
  • Settlement Dynamics
  • incora
Keywords ( Place )
  • Germany
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Land cover
  • Land use
Use limitation
None
Access constraints
Other restrictions
Use constraints
License
Other constraints
no limitations to public access
Other constraints
Data licence Germany - attribution - version 2.0 or later (DL-DE->BY-2.0) | Datenlizenz Deutschland - Namensnennung - Version 2.0 oder neuer
Other constraints
{ "id": "dl-by-de/2.0", "name": "Datenlizenz Deutschland Namensnennung 2.0", "url": "https://www.govdata.de/dl-de/by-2-0", "quelle": "Source: mundialis GmbH & Co. KG" }
Aggregate Datasetindentifier
36512b46-f3aa-4aa4-8281-7584ec46c813
Association Type
Source
Aggregate Datasetindentifier
db130a09-fc2e-421d-95e2-1575e7c4b45c
Association Type
Source
Aggregate Datasetindentifier
ad2646e3-5667-40bd-b80b-73151949747c
Association Type
Cross reference
Spatial representation type
Grid
Distance
10 meters
Metadata language
en
Character set
UTF8
Topic category
  • Geoscientific information
Description
Germany
Begin date
2016-01-01
End date
2019-12-31
N
S
E
W
thumbnail


Reference system identifier
EPSG:32632 (UTM 32N)
Distribution format
  • GeoTIFF ( 1.0 )

OnLine resource
Total ( WWW:DOWNLOAD-1.0-http--download )

Total

OnLine resource
Total: SLD style file ( WWW:DOWNLOAD-1.0-http--download )

Total: SLD style file

OnLine resource
Total: QML style file ( WWW:DOWNLOAD-1.0-http--download )

Total: QML style file

OnLine resource
Water ( WWW:DOWNLOAD-1.0-http--download )

Water

OnLine resource
Low vegetation ( WWW:DOWNLOAD-1.0-http--download )

Low vegetation

OnLine resource
Forest ( WWW:DOWNLOAD-1.0-http--download )

Forest

OnLine resource
Built-up ( WWW:DOWNLOAD-1.0-http--download )

Built-up

OnLine resource
Bare soil ( WWW:DOWNLOAD-1.0-http--download )

Bare soil

OnLine resource
Agriculture ( WWW:DOWNLOAD-1.0-http--download )

Agriculture

OnLine resource
License ( WWW:DOWNLOAD-1.0-http--download )

License

Hierarchy level
Dataset

Conformance result

Date ( Publication )
2010-12-08
Other citation details
http://data.europa.eu/eli/reg/2010/1089/2014-12-31
Explanation
See specified reference
Pass
Yes
Statement
derived from Sentinel-2 MSI - Level 3A-WASP

gmd:MD_Metadata

File identifier
5ef8565b-ea72-4f34-985b-71ab41959230 XML
Metadata language
en
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2021-10-25T13:11:07
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
mundialis GmbH & Co. KG - ( )

Citation proposal


(2020) . Change Detection map of Germany 2016-2019 based on Sentinel-2 data.
https://data.opendatascience.eu/geonetwork/static/api/records/5ef8565b-ea72-4f34-985b-71ab41959230

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