ColbyBrungard / Continuous-Soil-Properties

Prediction of continuous soil properties at 30m resolution for CONUS

Continuous-Soil-Properties project

Prediction of continuous soil properties at 30m resolution for the Continental USA

Properties to be predicted

Property	Units	Notes
Clay	g/kg or %
Sand	g/kg or %
Silt	g/kg or %
Depth	cm
pH	unitless
rock fragments	(m3 m-3)
Available water capacity	(mm mm-1 ?)	probably need to run Rosetta or Saxton and Rawls

Potential properties to be predicted

Property	Units	Notes
ECEC	(cmolc/kg)
N	(%)
C	(%)
electrical conductivity	(dS/m)

Semi-detailed Structure of Project.

A. Pedon dataset cleaning and prep [per property?]

A.1 Forest Service NRM data [Colby]

A.2 NASIS point data

A.3 KSSL data

A.4 RaCA

A.5 Other point data

B. Depth Harmonization

(0-5, 5-15, 15-30, 30-60, 60-100, 100-200 cm) [per property]

C. Build Training Matrix

C.1 Extract DEM derivatives

C.2 Extract spectral derivatives

C.3 Extract other geospatial covariates

D. Build Models [per property]

D.1 Build list to hold each regional model per property [big point of discussion here]

D.2 Set up training routine (cross validation repeated 10 times or something).

D.3 Training/evaluation data split

D.4 Build continental model

D.5 Build regional models

E. Model Evaluation

E.1 Evalute continental model

E.2 Evaulate each regional model

E.3 Covariate importance

F. Spatial Predictions [how to use regional models?]

G. Spatial Uncertainty

H. Locations where the addition of legacy or new sample data would prove most beneficial to model improvement and/or uncertainty reduction.