Journal Paper Digests 2019 #14
- Prediction of soil organic matter using multi-temporal satellite images in the Songnen Plain, China
- Predicting 2,4-dintroanisole (DNAN) sorption on various soil “types” using different compositional datasets
- A concept to optimize the accuracy of soil surface area and SOC stock quantification in mountainous landscapes
- Evaluating sampling efforts of standard laboratory analysis and mid-infrared spectroscopy for cost effective digital soil mapping at field scale
- The Texas Soil Observation Network: A Comprehensive Soil Moisture Dataset for Remote Sensing and Land Surface Model Validation
- Consistency Between NASS Surveyed Soil Moisture Conditions and SMAP Soil Moisture Observations
Journal Paper Digests 2019 #13
- Automatic classification of hydrocarbon “leads” in seismic images through artificial and convolutional neural networks
- The BonaRes metadata schema for geospatial soil-agricultural research data - Merging INSPIRE and DataCite metadata schemes
- The response of vegetation cover and dune activity to rainfall, drought and fire observed by multitemporal satellite imagery
- Forecasting causes of death by using compositional data analysis: the case of cancer deaths
- Data fusion of vis-NIR and PXRF spectra to predict soil physical and chemical properties
- Can Drip Irrigation be Scheduled with Cosmic-Ray Neutron Sensing?
Journal Paper Digests 2019 #12
- Reducing Sampling Uncertainty in Aeolian Research to Improve Change Detection
- Deep soil flipping increases carbon stocks of New Zealand grasslands
- How ecologists define drought, and why we should do better
Journal Paper Digests 2019 #13
- Microbial spatial footprint as a driver of soil carbon stabilization
- New statistical methods for the comparison and characterization of particle shape
Journal Paper Digests 2019 #12
- Physically Based Model for Extracting Dual-Permeability Parameters Using Non-Newtonian Fluids
- Scale Issues in Soil Hydrology
- Strength matters: Resisting erosion across upland landscapes
- Using deep learning for multivariate mapping of soil with quantified uncertainty