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UAV remote sensing capability for precision agriculture, forestry and small natural reservation monitoring

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F17%3A00312942" target="_blank" >RIV/68407700:21110/17:00312942 - isvavai.cz</a>

  • Result on the web

    <a href="https://spie.org/Publications/Proceedings/Paper/10.1117/12.2267858" target="_blank" >https://spie.org/Publications/Proceedings/Paper/10.1117/12.2267858</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1117/12.2267858" target="_blank" >10.1117/12.2267858</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    UAV remote sensing capability for precision agriculture, forestry and small natural reservation monitoring

  • Original language description

    For ecologically valuable areas monitoring, precise agriculture and forestry, thematic maps or small GIS are needed. Remotely Piloted Aircraft Systems (RPAS) data can be obtained on demand in a short time with cm resolution. Data collection is environmentally friendly and low-cost from an economical point of view. This contribution is focused on using eBee drone for mapping or monitoring national natural reserve which is not opened to public and partly pure inaccessible because its moorland nature. Based on a new equipment (thermal imager, multispectral imager, NIR, NIR red-edge and VIS camera) we started new projects in precise agriculture and forestry.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2017

  • ISBN

    9781510609273

  • ISSN

  • e-ISSN

  • Number of pages

    20

  • Pages from-to

  • Publisher name

    SPIE

  • Place of publication

    Baltimore

  • Event location

    Anaheim, California

  • Event date

    Apr 9, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000425529000010