Tom Broeg
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View article: Reducing Bias in Cropland Soil Organic Carbon and Clay Predictions using Sentinel-2 Composites and Data Balancing
Reducing Bias in Cropland Soil Organic Carbon and Clay Predictions using Sentinel-2 Composites and Data Balancing Open
Accurate maps of cropland soil organic carbon stocks (SOCS) and clay content are essential for climate-smart agriculture. Soil reflectance composites (SRC), derived from multispectral bare soil observations, offer a scalable approach to hi…
View article: Spatiotemporal Monitoring of Cropland Soil Organic Carbon Changes From Space
Spatiotemporal Monitoring of Cropland Soil Organic Carbon Changes From Space Open
Soil monitoring requires accurate and spatially explicit information on soil organic carbon (SOC) trends and changes over time. Spatiotemporal SOC models based on Earth Observation (EO) satellite data can support large‐scale SOC monitoring…
View article: Unveiling Year-Round Cropland Cover by Soil-Specific Spectral Unmixing of Landsat and Sentinel-2 Time Series
Unveiling Year-Round Cropland Cover by Soil-Specific Spectral Unmixing of Landsat and Sentinel-2 Time Series Open
Croplands are essential for food security but also impact the environment, biodiversity, and climate. Understanding, monitoring, modeling, and managing these impacts require accurate, comprehensive information on cropland vegetation cover.…
View article: Using local ensemble models and Landsat bare soil composites for large-scale soil organic carbon maps in cropland
Using local ensemble models and Landsat bare soil composites for large-scale soil organic carbon maps in cropland Open
National soil organic carbon (SOC) maps are essential to improve greenhouse gas accounting and support climate-smart agriculture. Large-scale SOC models based on wall-to-wall soil information from remote sensing remain a challenge due to t…
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…