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Multi-temporal analysis of erosional plots using aerial images and deep soil probes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F22%3A73610149" target="_blank" >RIV/61989592:15310/22:73610149 - isvavai.cz</a>

  • Result on the web

    <a href="https://obd.upol.cz/id_publ/333190036" target="_blank" >https://obd.upol.cz/id_publ/333190036</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/02723646.2021.1882074" target="_blank" >10.1080/02723646.2021.1882074</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-temporal analysis of erosional plots using aerial images and deep soil probes

  • Original language description

    Evaluating erosion processes and their influence on soil degradation over extensive agricultural landscape is difficult. Because of the need for analysis and mapping of this problem, we elaborated a procedure applicable to a specific, intensively farmed, erosionthreatened chernozem area of CZ or similar regions. The aim of the research was to verify the possibility of digital aerial image analysis, along with a control study of soil sampling. To define and compare the boundaries and extent of erosion and deposition processes, we used images from two different years, showing changes in soil degradation. Orthorectification and unsupervised image classification were followed by interpretation and statistical evaluation. The results, locating erosional, transitional and depositional areas, were verified in laboratory analysis of soil samples for selected soil characteristics. Comparison of aerial images showed changes in the agricultural landscape over 35 years, showing an increase of ca. 60% in erosional areas. Extensive changes also occurred in transitional and depositional areas as material from the subsoil horizon of erosional areas covered some depositional areas. Importantly, our research confirmed the potential of digital aerial image analysis as a method of studying soil erosion over extensive landscape, and the possibility of using it in planning anti-erosion measures.

  • 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

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

    PHYSICAL GEOGRAPHY

  • ISSN

    0272-3646

  • e-ISSN

    1930-0557

  • Volume of the periodical

    43

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    26

  • Pages from-to

    701-726

  • UT code for WoS article

    000617002200001

  • EID of the result in the Scopus database

    2-s2.0-85101475006