Case Study: Creating soil
property maps with ArcSIE
Missouri Soil Productivity Index
• Provide a case study example of the use of the
Property Map tool in ArcSIE.
• Stimulate participants’ imaginations about
creating soil property maps from ArcSIE
The Property Map tool
Calculates a weighted average property value for each pixel, using the membership
values of each class in the model as weights.
Creates a continuous surface property map.
Each pixel may have a different value.
soil models here)
(enter RV soil
property (individual soil models are listed here)
Example with Missouri data
PI values based on RV
soil properties for
each modeled soil.
Background: Missouri Productivity Index
• Target crop: corn
• Uses soil properties (NASIS RV) to model
potential crop growth.
– OM content, depth, AWC, wetness, etc.
• Based on fundamental principles of soil & plant
• Calculated in NASIS as an interpretation.
• Values approaching 1 = excellent yields possible.
• Values approaching 0 = not agricultural soils.
• PI * 1000 used here (e.g., PI of 0.651 >> 651)
Categorical PI Continuous PI
(based on ArcSIE
(SSURGO colored by
modeled rules; each
pixel may have a
Larger scale view: SSURGO categorical vs ArcSIE continuous
ArcSIE hardened; discrete PI values ArcSIE Property Map Tool; continuous PI
Property maps: misc comments
• The property values entered into the ArcSIE Property Map
Tool are equivalent to NASIS RV’s for a component.
• Assumes linear, continuous relationships among soils and
– e.g., a soil that is “half-way” between a soil with a PI of .7 and a
soil with a PI of .6, will have a PI of .65.
– e.g. a pixel with a membership of .5 for Alpha silt loam, and a
membership of .5 for Beta silt loam, will have soil properties
that are exactly between the RV properties of each.
• Property should be continuous, linear, and not truncated.
– e.g., depth to bedrock: what to do with soils that are “very
– e.g. water table: what to do with soils without a water table?
– e.g., pH, Ksat (not linear?)
• Questions? Comments?