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Update of the methodology for raster data interpretation (remote sensing) for detecting clues of contamination within the Contaminated sites inventory project

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F45249130%3A_____%2F16%3AN0000030" target="_blank" >RIV/45249130:_____/16:N0000030 - isvavai.cz</a>

  • Result on the web

    <a href="http://contaminated-sites.sazp.sk" target="_blank" >http://contaminated-sites.sazp.sk</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Update of the methodology for raster data interpretation (remote sensing) for detecting clues of contamination within the Contaminated sites inventory project

  • Original language description

    A basis of the interpretation methodology of raster data for the purpose of detecting clues of contamination using remote sensing methods is described in the methodology, which is one of the outcomes of the 1st phase of the National Inventory of Contaminated Sites project (NIKM). For the second phase of the NIKM project, prepared for the Operational Programme of the Environment (OPE 2014-2020), in order to obtain an optimum number of clues of contamination, we first of all added methodology with the stage of reinterpretation (revision of the clues identified by the first interpreter through the revision of a supervisor). The aim of this change is to achieve only about 60% of the number of clues interpreted in terms of area (e.g. km2) in test areas of the NIKM first stage. Given that the methodology NIKM prescribes a mandatory visit and in-situ observation of any evidence of contamination obtained within the project (the output of remote sensing), this reduction of the number of visits has a direct impact (lowering) on the cost of the inventory. The second methodology supplement consists in the use of the information contained in the Hill Shaded Digital Terrain Model of the Czech Republic of the 4th and 5th generation (DMR 4G, DMR5G),provided by the Czech Office for Surveying, Mapping and Cadastre (ČÚZK) in the form of web services. Already this basis alone allows us to find the artificial formations which may indicate (and sometimes clearly indicate) the existence of contaminated sites as they are understood in the context of the NIKM project. The third update element consists of the systematic use of attributes for objects contained in geographic maps.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DK - Contamination and decontamination of soil including pesticides

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Conference Contaminated sites 2016, Bratislava 12–13 September 2016. Conference Proceedings.

  • ISBN

    978-80-89503-54-4

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    69-74

  • Publisher name

    Slovak Environment Agency

  • Place of publication

    Banská Bystrica

  • Event location

    Bratislava

  • Event date

    Sep 12, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article