Odhad hloubky půdy s využitím základních vlastností terénu: porovnání metod

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DF - Pedologie

OECD FORD obor

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Projekt

<a href="/cs/project/GA526%2F02%2F1516" target="_blank" >GA526/02/1516: Aplikace různých pedometrických metod na výsledky pedologického průzkumu a jejich srovnání</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

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

Název periodika

Plant, Soil and Environment

ISSN

1214-1178

e-ISSN

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Svazek periodika

52

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

424-430

Kód UT WoS článku

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EID výsledku v databázi Scopus

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