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Using Landsat TM data for mapping of the Quternary deposits

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F03%3A00001592" target="_blank" >RIV/61989592:15310/03:00001592 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Using Landsat TM data for mapping of the Quternary deposits

  • Original language description

    This paper summarises the use of digital remotely sensed data for Quaternary deposits mapping in central Sweden. Landsat TM scene of the beginning of May 1985 was applied. Only six groups of quaternary deposits were distinguished. The classification accuracy of the resultant map was about 50 % in average. Comparison was done with the existing map of Quaternary deposits.

  • Czech name

    Using Landsat TM data for mapping of the Quternary deposits

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DE - Earth magnetism, geodesy, geography

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA205%2F03%2F0211" target="_blank" >GA205/03/0211: Geography of selected natural extremes, their impacts and cartographic visualisation in Moravia and Silesia</a><br>

  • Continuities

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

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    SGU-rapport

  • ISSN

  • e-ISSN

  • Volume of the periodical

    N

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    SE - SWEDEN

  • Number of pages

    1

  • Pages from-to

    10

  • UT code for WoS article

  • EID of the result in the Scopus database