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
opendata

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

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