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Delineation of Management Zones Using Satellite Imageries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F21%3A43920114" target="_blank" >RIV/62156489:43210/21:43920114 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-71069-9_18" target="_blank" >https://doi.org/10.1007/978-3-030-71069-9_18</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-71069-9_18" target="_blank" >10.1007/978-3-030-71069-9_18</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Delineation of Management Zones Using Satellite Imageries

  • Original language description

    The chapter describes the development of a platform for mapping crop status and long-time trends by using EO data as a support tool for fertilizing and crop protection. The main focus of the pilot is to monitor cereal fields by high-resolution satellite imagery data (Landsat 8, Sentinel 2) and delineation of management zones within the fields for variable rate application of fertilizers. The first part of the paper is focused on analysis of strategies for recommendations derived from satellite data. The second part is focused on development of a software application with the goal to offer farmers a GIS portal. Here, users can monitor their fields from EO data, based on the specified period and select cloudless scenesfor further analysis. The tool supports collaborative communication between farmers and advisors.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    40101 - Agriculture

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Big Data in Bioeconomy

  • ISBN

    978-3-030-71068-2

  • Number of pages of the result

    11

  • Pages from-to

    235-245

  • Number of pages of the book

    423

  • Publisher name

    Springer International Publishing AG

  • Place of publication

    Cham

  • UT code for WoS chapter