The mapping of soil taxonomic units via fuzzy clustering - A case study from the Outer Carpathians, Czechia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA1901V3X" target="_blank" >RIV/61988987:17310/18:A1901V3X - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/62156489:43410/18:43914247

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0016706117316968" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016706117316968</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.geoderma.2018.04.012" target="_blank" >10.1016/j.geoderma.2018.04.012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The mapping of soil taxonomic units via fuzzy clustering - A case study from the Outer Carpathians, Czechia

Popis výsledku v původním jazyce

The paper presents a new method for the digital mapping of taxonomic soil units via fuzzy taxonomy and fuzzy clustering. In principle, this respects the continuous character of the soil but can result in traditional crisp soil maps. A part of the Moravskoslezské Beskydy Mts. (Czech Republic) was the testing area. Fuzzified taxonomic soil information from 106 soil pits with 75 geomorphometric parameters (potential environmental covariates of soil units) derived from a 10 m LIDAR Digital Elevation Model (DEM) was used for the input data. Another 60 soil pits were used for the validation of the results. Generalized linear models (GLM) of the relationship between fuzzified taxonomic soil information (membership of soil pits to particular soil types) and all geomorphometric parameters were used for the selection of 8 geomorphometric parameters as environmental covariates of soil taxonomic units. The fuzzy c-means clustering of selected covariates led to the delimitation of soil-landscape units. The taxonomic meanings of the soil-landscape units (membership of the particular soil type to the particular type of soil-landscape unit) were determined on the basis of membership of soil pits to the soil types, and membership of the pixels with soil pits to the given type of soil-landscape unit. Every pixel obtained an individual membership to each soil type in this way. The defuzzification process (the assignment of a given pixel to only one resultant soil subtype) considered the first and second largest membership of pixels to particular soil types. To express the scientific reliability of the results, methods for measuring uncertainty and two modified confusion indexes are calculated. This approach shows 26 % full agreement, 64 % partial agreement and 10 % disagreement between the modelled and observed point data. The result significantly exceeds the accuracy of conventional soil maps in the tested area.

Název v anglickém jazyce

The mapping of soil taxonomic units via fuzzy clustering - A case study from the Outer Carpathians, Czechia

Popis výsledku anglicky

The paper presents a new method for the digital mapping of taxonomic soil units via fuzzy taxonomy and fuzzy clustering. In principle, this respects the continuous character of the soil but can result in traditional crisp soil maps. A part of the Moravskoslezské Beskydy Mts. (Czech Republic) was the testing area. Fuzzified taxonomic soil information from 106 soil pits with 75 geomorphometric parameters (potential environmental covariates of soil units) derived from a 10 m LIDAR Digital Elevation Model (DEM) was used for the input data. Another 60 soil pits were used for the validation of the results. Generalized linear models (GLM) of the relationship between fuzzified taxonomic soil information (membership of soil pits to particular soil types) and all geomorphometric parameters were used for the selection of 8 geomorphometric parameters as environmental covariates of soil taxonomic units. The fuzzy c-means clustering of selected covariates led to the delimitation of soil-landscape units. The taxonomic meanings of the soil-landscape units (membership of the particular soil type to the particular type of soil-landscape unit) were determined on the basis of membership of soil pits to the soil types, and membership of the pixels with soil pits to the given type of soil-landscape unit. Every pixel obtained an individual membership to each soil type in this way. The defuzzification process (the assignment of a given pixel to only one resultant soil subtype) considered the first and second largest membership of pixels to particular soil types. To express the scientific reliability of the results, methods for measuring uncertainty and two modified confusion indexes are calculated. This approach shows 26 % full agreement, 64 % partial agreement and 10 % disagreement between the modelled and observed point data. The result significantly exceeds the accuracy of conventional soil maps in the tested area.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

GEODERMA

ISSN

0016-7061

e-ISSN

1872-6259

Svazek periodika

—

Číslo periodika v rámci svazku

326

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

12

Strana od-do

111-122

Kód UT WoS článku

000433648800010

EID výsledku v databázi Scopus

2-s2.0-85046169002