Simone Zepp
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View article: Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils
Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils Open
Precise knowledge about the soil organic carbon (SOC) content in cropland soils is one requirement to design and execute effective climate and food policies. In digital soil mapping (DSM), machine learning algorithms are used to predict so…
View article: Soil Reflectance Composites—Improved Thresholding and Performance Evaluation
Soil Reflectance Composites—Improved Thresholding and Performance Evaluation Open
Reflectance composites that capture bare soil pixels from multispectral image data are increasingly being analysed to model soil constituents such as soil organic carbon. These temporal composites are used instead of single-date multispect…
View article: Scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites
Scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites Open
There is a growing need for an area-wide knowledge of SOC contents in agricultural soils at the field scale for food security and monitoring long-term changes related to soil health and climate change. In Germany, SOC maps are mostly avail…
View article: Scale-specific Prediction of Topsoil Organic Carbon Contents using Terrain Attributes and SCMaP Soil Reflectance Composites
Scale-specific Prediction of Topsoil Organic Carbon Contents using Terrain Attributes and SCMaP Soil Reflectance Composites Open
There is a growing need for an area-wide knowledge of SOC contents in agricultural soils at field scale for food security, monitoring long-term changes related to soil health and climate change. In Germany, large-scale SOC maps are mostly …
View article: Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites
Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites Open
For food security issues or global climate change, there is a growing need for large-scale knowledge of soil organic carbon (SOC) contents in agricultural soils. To capture and quantify SOC contents at a field scale, Earth Observation (EO)…
View article: Testing different remote sensing compositing periods for SOC content extraction in areas across Germany
Testing different remote sensing compositing periods for SOC content extraction in areas across Germany Open
<p>High spatial and temporal soil information is crucial to analyze soil developments and for monitoring long term changes to avoid soil degradation. A sufficient soil organic carbon (SOC) content is one of the key soil properties to…
View article: The potential of the Soil Composite Mapping Processor (SCMaP) for analyzing temporal changes of exposed soils in Germany between 1984-2014
The potential of the Soil Composite Mapping Processor (SCMaP) for analyzing temporal changes of exposed soils in Germany between 1984-2014 Open
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 au…
View article: Mapping Acid Mine Drainage at different cales using hyperspectral airborne and simulated multispectral and hyperspectral spaceborne data
Mapping Acid Mine Drainage at different cales using hyperspectral airborne and simulated multispectral and hyperspectral spaceborne data Open
Past and current coal mining activities in the Emahaleni coalfield area in Mpumalanga (South Africa) have caused serious impacts on environment and infrastructure. One important impact is the existence of Acid Mine Drainage (AMD), caused b…