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EXTRACTING FOREST CANOPY CHARACTERISTICS FROM REMOTE SENSING IMAGERY: IMPLICATIONS FOR SENTINEL-2 MISSION

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F16%3A00000225" target="_blank" >RIV/00025798:_____/16:00000225 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    EXTRACTING FOREST CANOPY CHARACTERISTICS FROM REMOTE SENSING IMAGERY: IMPLICATIONS FOR SENTINEL-2 MISSION

  • Original language description

    Systematic quantification and monitoring of forest biophysical and biochemical variables is required to assess the response of ecosystems to climate change. Remote sensing has been introduced as a time and cost-efficient way to carry out large scale monitoring of vegetation parameters. Red-Edge Position (REP) is a hyperspectrally detectable parameter which is sensitive to vegetation Chl. In the current study, REP was modelled for the Norway spruce forest canopy resampled to HyMap and Sentinel-2 spectral resolution as well as calculated from the real HyMap and Sentinel-2 simulated data. Different REP extraction methods (4PLI, PF, LE, 4PLIH and 4PLIS) were assessed. The study showed the way for effective utilization of the forthcoming hyper and superspectral remote sensing sensors from orbit to monitor vegetation attributes Extracting Forest Canopy Characteristics From Remote Sensing Imagery: Implications For Sentinel-2 Mission. Available from: https://www.researchgate.net/publication/306286305_Extracting_Forest_Canopy_Characteristics_From_Remote_Sensing_Imagery_Implications_For_Sentinel-2_Mission [accessed Nov 4, 2016].

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DB - Geology and mineralogy

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LH13266" target="_blank" >LH13266: DEVELOPMENT OF ALGORITHMS AND COMPUTING TECHNIQUES FOR DATA MINING OF SPECTRAL-BASED INFORMATION FOR ECOLOGICAL AND SOIL MAPPING</a><br>

  • Continuities

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

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

    Proceedings of Living Planet Symposium 2016

  • ISBN

    978-92-9221-305-3

  • ISSN

    1609-042X

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    nečíslováno

  • Publisher name

    European Space Agency

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    May 9, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article