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The potential of the Soil Composite Mapping Processor (SCMaP) for analyzing temporal changes of exposed soils in Germany between 1984-2014

Zepp, Simone and Heiden, Uta and Jilge, Marianne and Metz-Marconcini, Annekatrin and Zeidler, Julian and Hirner, Andreas and Rogge, Derek (2018) The potential of the Soil Composite Mapping Processor (SCMaP) for analyzing temporal changes of exposed soils in Germany between 1984-2014. 38th Annual EARSeL Symposium, 9.-12. Jul. 2018, Chania, Crete, Greece.

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High spatial and temporal resolution soil information is crucial for monitoring long term changes to avoid soil degradation and ultimately to achieve sustainable food security. The Soil Composite Mapping Processor (SCMaP) is a new fully automated approach designed to make use of per-pixel bare-soil compositing. The SCMaP allows generating cloud-free multispectral soil reflectance composites that can support large scale top soil analysis. Three primary products are generated 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 output each are time series (1984-2014) of composites over five year periods based on multispectral Landsat imagery. The aim of this work is 1) to expand the technology by improving the threshold definition required for the composite generation, 2) to show the resulting multitemporal products of the different time periods that have the potential to detect exposed soil changes in Germany and 3) to analyse the coverage and transformation of exposed soils in Germany to other land cover types. Plausibility of the results is shown and a first validation is presented using statistical data from regional agricultural surveys of the german statistical bureau (Destatis). Results of statistical analyses of the composite images show that there was an increase of areas predominantly used for agricultural purposes before and after 1989, which coincides with the reunification of Germany. After 1995, a decrease of these agricultural areas can be observed. It can be shown, that the results are not affected by the use of different Landsat sensors and emphasise the potential for retrospective analyses of the development of soils using this type of data product.

Item URL in elib:https://elib.dlr.de/124338/
Document Type:Conference or Workshop Item (Speech)
Title:The potential of the Soil Composite Mapping Processor (SCMaP) for analyzing temporal changes of exposed soils in Germany between 1984-2014
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Zepp, Simonesimone.zepp (at) dlr.deUNSPECIFIED
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Jilge, MarianneMarianne.Jilge (at) dlr.deUNSPECIFIED
Metz-Marconcini, AnnekatrinAnnekatrin.Metz-Marconcini (at) dlr.deUNSPECIFIED
Zeidler, JulianJulian.Zeidler (at) dlr.dehttps://orcid.org/0000-0001-9444-2296
Hirner, AndreasAndreas.Hirner (at) dlr.deUNSPECIFIED
Rogge, DerekHyperspectral Intelligence Inc., CanadaUNSPECIFIED
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:SCMaP, soil, Landsat, time series, soil Information, composite
Event Title:38th Annual EARSeL Symposium
Event Location:Chania, Crete, Greece
Event Type:international Conference
Event Dates:9.-12. Jul. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):Vorhaben Optical Remote Sensing
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Heiden, Dr.rer.nat. Uta
Deposited On:06 Dec 2018 13:59
Last Modified:31 Jul 2019 20:22

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