• My GeoNetwork catalogue
  •   Search
  •   Map
  •   Sign in

SCMaP - Landsat - Germany, 1984-2014

The Soil Composite Mapping Processor (SCMaP) is a new approach designed to make use of per-pixel compositing to overcome the issue of limited soil exposure due to vegetation. Three primary product levels are generated that will allow for a long term assessment and distribution of soils that include the distribution of exposed soils, a statistical information related to soil use and intensity and the generation of exposed soil reflectance image composites. The resulting composite maps provide useful value-added information on soils with the exposed soil reflectance composites showing high spatial coverage that correlate well with existing soil maps and the underlying geological structural regions.

Simple

Date (Creation)
2018-11-17T00:00:00
Citation identifier
https://geoservice.dlr.de/catalogue/srv/metadata/a1543075-f6a6-47ac-b45c-cece50778dc0
Presentation form
Digital map
Other citation details

DOI: 10.15489/c5ng9ynnyx29

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

  • Soil

Keywords
  • Landsat

  • Soil mapping

  • Image composites

  • automated processors

  • top soil analysis

  • time series

  • SCMaP

  • Germany

Use limitation

Nutzungseinschränkungen: The Soil Composite Images are provided without any warranty. DLR is not liable for damage resulting from use.

Use limitation

Nutzungsbedingungen: License, https://creativecommons.org/licenses/by-nc-sa/4.0/

Access constraints
Other restrictions
Other constraints

License

Use constraints
License
Use constraints
Other restrictions
Other constraints

Nutzungsbedingungen: License, https://creativecommons.org/licenses/by-nc-sa/4.0/

Other constraints

{"id": "other-open",

"name": "Andere offene Lizenz",

"url": " http://dcat-ap.de/def/licenses/other-open ",

"quelle": "Copyright DLR (year of production)"}

Spatial representation type
Grid
Denominator
60000
Language

eng

Character set
UTF8
Topic category
  • Geoscientific information
N
S
E
W
thumbnail


Begin date
1984-04-13T00:00:00
End date
2014-11-09T00:00:00
Reference system identifier
EPSG / WGS 84 (EPSG:4326) / 7.4
Number of dimensions
2
Dimension name
Column
Dimension size
39606
Resolution
30  m
Dimension name
Row
Dimension size
32406
Resolution
30  m
Cell geometry
Area
Transformation parameter availability
No
Distribution format
OnLine resource
OPUS-GMES ( WWW:LINK-1.0-http--link )

OPUS-GMES Project Website

OnLine resource
AGRO-DE ( WWW:LINK-1.0-http--link )

AGRO-DE Project Website

OnLine resource
SCMAP_SN_LS ( OGC:WMS )

SCMaP Reflectance Soil Composite (normalized)

OnLine resource
SCMAP_SN_LS_1984-2014 ( OGC:WMS )

SCMaP Reflectance Soil Composite 1984-2014 (normalized)

OnLine resource
SCMAP_SR_LS ( OGC:WMS )

SCMaP Reflectance Composite

OnLine resource
SCMAP_SR_LS_1984-2014 ( OGC:WMS )

SCMaP Reflectance Composite 1984-2014

OnLine resource
SCMAP_SC_LS ( OGC:WMS )

SCMaP Exposed Soil Coverage

OnLine resource
SCMAP_SC_LS_1984-2014 ( OGC:WMS )

SCMaP Exposed Soil Coverage 1984-2014

OnLine resource
SCMAP_SF_LS ( OGC:WMS )

SCMaP Exposed Soil Frequency

OnLine resource
SCMAP_SF_LS_1984-2014 ( OGC:WMS )

SCMaP Exposed Soil Frequency 1984-2014

OnLine resource
Legend "Reflectance Soil Composite" ( WWW:LINK-1.0-http--link )
OnLine resource
Legend "Exposed Soil Frequency" ( WWW:LINK-1.0-http--link )
OnLine resource
Legend "Reflectance Composite" ( WWW:LINK-1.0-http--link )
OnLine resource
Legend "Exposed Soil Cover" ( WWW:LINK-1.0-http--link )
Hierarchy level
Dataset

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Date (Publication)
2010-12-08
Explanation

See the referenced specification.

Pass
Yes
Statement

Input data: Landsat 4, 5 and 7.

Description

Generation of the soil composite maps comprises three different automated modules which include: 1) download and ingestion; 2) preprocessing and data filtering; and, 3) the SCMaP. While step 1 and 2 are part of the TimeScan framework (Esch et al., 2017 submitted), step three has been specifically developed for building soil composites. Crucial is the selection of pixels covering exposed soil from a multitemporal composite image that was built using a multispectral vegetation index and a threshold calibrated using broad land cover classes over Germany. In the result, several products have been developed: 1) useful value-added information on the spatial distribution and extend of exposed soils; 2) statistical information related to agricultural use and intensity (e.g. depending on cultivation cycle and pattern); and, 3) soil composite reflectance images of high spatial coverage that correlate well with existing soil and geological maps.

Description

The accuracy depends on: 1) quality of data preprocessing (cloud masking, atmospheric correction), 2) threshold definition. For further information see Rogge et al. 2018: Rogge, D., Bauer, A., Zeidler, J., Mueller, A., Esch, T., Heiden, U. (2018). Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984-2014). Remote Sensing of Environment, 205, 1-17. DOI: 10.1016/j.rse.2017.11.004 ISSN 0034-4257. https://www.sciencedirect.com/science/article/pii/S003442571730514X

File identifier
a1543075-f6a6-47ac-b45c-cece50778dc0 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

Dataset

Date stamp
2024-11-11T08:45:24
Metadata standard name

19115-1:2014/19139

Metadata standard version

1.0

Point of contact
  German Aerospace Center (DLR)
 
 

Overviews

overview
large_thumbnail
overview
thumbnail

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Soil

Provided by

logo
Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


  •   About
  •   Github
  •