Sentinel-2-based predictions of soil depth to inform water and nutrient retention strategies in dryland wheat

This publication has 25 references indexed in Scilit:

• The utility of remotely-sensed vegetative and terrain covariates at different spatial resolutions in modelling soil and watertable depth (for digital soil mapping)
  Geoderma, 2013
• A strategic and tactical management approach to select optimal N fertilizer rates for wheat in a spatially variable field
  European Journal of Agronomy, 2011
• Prediction of Soil Depth from Digital Terrain Data by Integrating Statistical and Visual Approaches
  Pedosphere, 2010
• Modeling soil depth from topographic and land cover attributes
  Water Resources Research, 2009
• Controls on the temporal and spatial variability of soil moisture in a mountainous landscape: the signature of snow and complex terrain
  Hydrology and Earth System Sciences, 2009
• Using remotely-sensed estimates of soil moisture to infer soil texture and hydraulic properties across a semi-arid watershed
  Remote Sensing of Environment, 2007
• Spatial prediction of soil properties using environmental correlation
  Geoderma, 1999
• Seasonal variation in response of winter cereals to nitrogen fertilizer and apparent recovery of fertilizer nitrogen on chalk soils in southern England
  The Journal of Agricultural Science, 1997
• A process‐based model for colluvial soil depth and shallow landsliding using digital elevation data
  Hydrological Processes, 1995
• A decimal code for the growth stages of cereals
  Weed Research, 1974