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COMBINATION OF OPENLANDUSE DATABASE AND ANALYSED SENTINEL 2 AND SENTINEL 1 DATA FOR AGRICULTURE PURPOSES

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43966387" target="_blank" >RIV/49777513:23520/22:43966387 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.31490/9788024846026-2" target="_blank" >https://doi.org/10.31490/9788024846026-2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.31490/9788024846026-2" target="_blank" >10.31490/9788024846026-2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    COMBINATION OF OPENLANDUSE DATABASE AND ANALYSED SENTINEL 2 AND SENTINEL 1 DATA FOR AGRICULTURE PURPOSES

  • Original language description

    Creating an Earth’s twin in sufficient detail and complex relations is a challenge for the future arising from strategies like DestinE or Green Deal. Enormous amount of geospatial data available these days leads to a necessity of a suitable data structure to provide understandable information to a general user. An Open Land Use database can serve as such a structure for integrating datasets of different themes, different spatial resolution, and different temporal validity. This paper shows an example of incorporating Earth observation data into the Open Land Use data model, to provide enhanced information about field blocks of a farm in Vyškov region in CZE with information about crop types planted in fields. The data for enhancing the OLU database were based on Sentinel-1 and Sentinel-2 images from 2020, analysed into the form of (un)supervised classification of crop types and various indexes, especially Enhanced Vegetation Index (EVI) and Radar Vegetation Index for Sentinel-1 SAR data (RVI4S1).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Symposium GIS Ostrava 2022 Earth Observation for Smart City and Smart Region

  • ISBN

    978-80-248-4602-6

  • ISSN

    1213-239X

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1-6

  • Publisher name

    VSB - Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Mar 16, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article