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High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A92273" target="_blank" >RIV/60460709:41210/22:92273 - isvavai.cz</a>

  • Alternative codes found

    RIV/00027049:_____/22:N0000019

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0341816222000108" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0341816222000108</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.catena.2022.106024" target="_blank" >10.1016/j.catena.2022.106024</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    High-resolution agriculture soil property maps from digital soil mapping methods, Czech Republic

  • Original language description

    Detailed maps of soil properties are essential for soil protection planning and management, however, creating very high resolution maps at the national level with sufficient accuracy is a challenging task and remains unavailable for most countries. For the Czech Republic, very high resolution soil property maps (soil organic carbon SOC, texture, pH, bulk density, soil depth) were created using digital soil mapping methods, combined with a wide database of soil legacy and current samples. The latest approaches were employed for predictive mapping: a quantile random forest model with the determination of prediction intervals, a mosaic of bare soils from Sentinel 2 satellite data, a Gaussian pyramid of terrain attributes, and a buffer distance map. These variables were found to be among the most important in the resulting models. The properties were mapped, thus providing detailed data on soil cover. Greater levels of inaccuracy were found in areas with extreme values, for which further investigation is

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40104 - Soil science

Result continuities

  • Project

    <a href="/en/project/QK1820389" target="_blank" >QK1820389: Production of actual detailed maps of soil properties in the Czech Republic based on database of Large-scale Mapping of Agricultural Soils in Czechoslovakia and application of digital soil mapping</a><br>

  • Continuities

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

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Catena

  • ISSN

    0341-8162

  • e-ISSN

    1872-6887

  • Volume of the periodical

    212

  • Issue of the periodical within the volume

    May

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    10

  • Pages from-to

    0-0

  • UT code for WoS article

    000791995200001

  • EID of the result in the Scopus database

    2-s2.0-85122989943