Soil depth prediction supported by primary terrain attributes: a comparison of methods

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F06%3A15045" target="_blank" >RIV/60460709:41210/06:15045 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Soil depth prediction supported by primary terrain attributes: a comparison of methods

Original language description

The objective of this study was to investigate the benefits of methods that incorporate terrain attriubutes as covariates into the prediction of soil depth. Three primary terrain attributes-elevation, slope and aspect -were tested to improve the depth prediction from conventional soil survey dataset. Different methods were compared: 1) ordinary kriging (OK), 2) co-kriging (COK), 3) regression-kriging (REK), and 4) linear regression (RE). The evaluation of predicted results was based on comparison with real validation data. With respect to means, OK and COK provided the best prediction (both 110 cm), RE and REK gave the worst results, their means were significantly lower (79 and 108 cm, respectively) than the mean of real data (111 cm). F-test showed that COK with slope as covariate gave the best result with respect to variances. COK also reproduced best the range of values. The use of auxiliary terrain data improved the prediction of soil depth. However, the improvement was relatively

Czech name

Odhad hloubky půdy s využitím základních vlastností terénu: porovnání metod

Czech description

The objective of this study was to investigate the benefits of methods that incorporate terrain attriubutes as covariates into the prediction of soil depth. Three primary terrain attributes-elevation, slope and aspect -were tested to improve the depth prediction from conventional soil survey dataset. Different methods were compared: 1) ordinary kriging (OK), 2) co-kriging (COK), 3) regression-kriging (REK), and 4) linear regression (RE). The evaluation of predicted results was based on comparison with real validation data. With respect to means, OK and COK provided the best prediction (both 110 cm), RE and REK gave the worst results, their means were significantly lower (79 and 108 cm, respectively) than the mean of real data (111 cm). F-test showed that COK with slope as covariate gave the best result with respect to variances. COK also reproduced best the range of values. The use of auxiliary terrain data improved the prediction of soil depth. However, the improvement was relatively

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DF - Pedology

OECD FORD branch

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Project

<a href="/en/project/GA526%2F02%2F1516" target="_blank" >GA526/02/1516: Application of different pedometric methods on results of soil survey and their comparison</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2006

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Plant, Soil and Environment

ISSN

1214-1178

e-ISSN

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Volume of the periodical

52

Issue of the periodical within the volume

9

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

424-430

UT code for WoS article

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EID of the result in the Scopus database

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