Module 4 - Digital Soil Mapping Flashcards

1
Q

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

A

Soil
Spatial Position
Uncertainty
Age

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2
Q

Please check all supervised classification methods.
random forest
neural networks
ISODATA
k-means

A

random forest
neural networks

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3
Q

Please check all unsupervised classification methods.
k-means
ISODATA
random forest
neural networks

A

k-means
ISODATA

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4
Q

Regression

A

Estimates the relationship between the dependent and independent variables

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5
Q

Interpolation

A

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.

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6
Q

The factors of soil formation were introduced by [ Select ] in [Select] while the SCORPAN model was introduced by [ Select ] in [ Select ]
.

A

Jenny, 1941, McBratney et al., 2003

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7
Q

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

A

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.

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8
Q

Random or stratified sampling is:
more prone to bias
more robust than directed field sampling
less prone to bias
a knowledge-based classification approach

A

more robust than directed field sampling
less prone to bias

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9
Q

Predicting the land use in an area is an example of predicting a ____ variable.

A

discrete

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10
Q

A training data set is necessary for unsupervised classification.
True
False

A

False

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11
Q

Conventional soil mapping is ____ and relies on ____ models.

A

qualitative, conceptual

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12
Q

What is Hans Jenny’s conceptual model?

A

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).

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