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  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.
 
Citation proposal
German Aerospace Center (DLR). SCMaP - Landsat - Germany, 1984-2014. https://gdk.gdi-de.org/geonetwork/srv/api/records/a1543075-f6a6-47ac-b45c-cece50778dc0
 

Simple

Date ( Creation )
2018-11-17T00:00:00
Edition
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 ( Theme )
  • 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
Metadata language
eng
Character set
UTF8
Topic category
  • Geoscientific information
N
S
E
W


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
false
Distribution format
  • ()

OnLine resource
OPUS-GMES  

OPUS-GMES Project Website

OnLine resource
AGRO-DE  

AGRO-DE Project Website

OnLine resource
SCMAP_SN_LS  

SCMaP Reflectance Soil Composite (normalized)

OnLine resource
SCMAP_SN_LS_1984-2014  

SCMaP Reflectance Soil Composite 1984-2014 (normalized)

OnLine resource
SCMAP_SR_LS  

SCMaP Reflectance Composite

OnLine resource
SCMAP_SR_LS_1984-2014  

SCMaP Reflectance Composite 1984-2014

OnLine resource
SCMAP_SC_LS  

SCMaP Exposed Soil Coverage

OnLine resource
SCMAP_SC_LS_1984-2014  

SCMaP Exposed Soil Coverage 1984-2014

OnLine resource
SCMAP_SF_LS  

SCMaP Exposed Soil Frequency

OnLine resource
SCMAP_SF_LS_1984-2014  

SCMaP Exposed Soil Frequency 1984-2014

OnLine resource
Legend "Reflectance Soil Composite"  

Legend "Reflectance Soil Composite"

OnLine resource
Legend "Exposed Soil Frequency"  

Legend "Exposed Soil Frequency"

OnLine resource
Legend "Reflectance Composite"  

Legend "Reflectance Composite"

OnLine resource
Legend "Exposed Soil Cover"  

Legend "Exposed Soil Cover"

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
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

gmd:MD_Metadata

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)  

 
 

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a1543075-f6a6-47ac-b45c-cece50778dc0   Access to the portal Read here the full details and access to the data.

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