Module 4 - Digital Soil Mapping Flashcards
In contrast to Jenny’s soil-forming factors, which additional factors are part of the SCORPAN model?
Soil
Organisms
Spatial Position
Relief
Uncertainty
Age
Climate
Parent material
Soil
Spatial Position
Uncertainty
Age
Please check all supervised classification methods.
random forest
neural networks
ISODATA
k-means
random forest
neural networks
Please check all unsupervised classification methods.
k-means
ISODATA
random forest
neural networks
k-means
ISODATA
Regression
Estimates the relationship between the dependent and independent variables
Interpolation
Models’ spatial patterns are based on values at known locations and the assumption that locations closer to one another are more similar than those that are further apart.
The factors of soil formation were introduced by [ Select ] in [Select] while the SCORPAN model was introduced by [ Select ] in [ Select ]
.
Jenny, 1941, McBratney et al., 2003
Check all answers that are correct for choosing environmental covariables.
Covariables are universal and predict target soil variables well for all project areas. Individual selection on a project-area basis is not necessary.
Covariables must be selected based on their relationship to the soil property of interest in the project area.
Elevation and spectral derivates are important covariables.
Data should represent multiple SCORPAN covariables that influence soil development in your project area
Data should represent multiple SCORPAN covariables that influence soil development in the project area
Elevation and spectral derivates are important covariables.
Data should represent multiple SCORPAN covariables that influence soil development in your project area
Data should represent multiple SCORPAN covariables that influence soil development in the project area
Covariables must be selected based on their relationship to the soil property of interest in the project area.
Random or stratified sampling is:
more prone to bias
more robust than directed field sampling
less prone to bias
a knowledge-based classification approach
more robust than directed field sampling
less prone to bias
Predicting the land use in an area is an example of predicting a ____ variable.
discrete
A training data set is necessary for unsupervised classification.
True
False
False
Conventional soil mapping is ____ and relies on ____ models.
qualitative, conceptual
What is Hans Jenny’s conceptual model?
S = f (cl, o, r, p, t)
Where soils (S) on a landscape are a function of five environmental factors, namely climate (cl), organisms (o), relief (r), parent material (p), and time (t).
