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Application of artificial neural networks on traditional soil survey data.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F04%3A8414" target="_blank" >RIV/60460709:41210/04:8414 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of artificial neural networks on traditional soil survey data.

  • Original language description

    Conventional soil survey carried out in the past can be a good source of easily available data. These data, which were originally collected for other purposes, can be used and processed by new methods. Methods and schemes of obtaining conventional soil survey data differ from requirements, which are set up for geostatistical methods predicting properties over an area. Arrangement of sampling scheme can be a good example. Processing of these data to usable form must be therefore the first step prior to using these data. The aim of this study is to present potential exploitation of data from conventional soil survey for interpolation technique. In the study the limitation of exploitation of these data and possible ways how to overcome these problems areshown. Several possibilities of treatment of the data are presented. Benefits of exploitation of auxiliary data are presented as well. Point data from conventional soil survey from the 1960?s were used. The original dataset contains about

  • Czech name

    Aplikace umělých neuronových sítí na údaje tradičního půdního průzkumu

  • Czech description

    Conventional soil survey carried out in the past can be a good source of easily available data. These data, which were originally collected for other purposes, can be used and processed by new methods. Methods and schemes of obtaining conventional soil survey data differ from requirements, which are set up for geostatistical methods predicting properties over an area. Arrangement of sampling scheme can be a good example. Processing of these data to usable form must be therefore the first step prior to using these data. The aim of this study is to present potential exploitation of data from conventional soil survey for interpolation technique. In the study the limitation of exploitation of these data and possible ways how to overcome these problems areshown. Several possibilities of treatment of the data are presented. Benefits of exploitation of auxiliary data are presented as well. Point data from conventional soil survey from the 1960?s were used. The original dataset contains about

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DF - Pedology

  • OECD FORD branch

Result continuities

  • 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

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Global Workshop on Digital Soil Mapping

  • ISBN

    N

  • ISSN

  • e-ISSN

  • Number of pages

    1

  • Pages from-to

    0-0

  • Publisher name

    Institut National de la Recherche Agronomique

  • Place of publication

    Montpellier

  • Event location

    Montpellier

  • Event date

    Sep 14, 2004

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article