ANALYSIS OF EARTH REMOTE SENSING DATA SETS AND THEIR USABILITY IN THE AGRICULTURAL SECTOR

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F18%3A77781" target="_blank" >RIV/60460709:41110/18:77781 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

ANALYSIS OF EARTH REMOTE SENSING DATA SETS AND THEIR USABILITY IN THE AGRICULTURAL SECTOR

Popis výsledku v původním jazyce

The main objective of this article is to analyze the Earth remote sensing data sets and identify shortcomings limiting the efficient processing and use of these datasets in the agricultural sector and related industries. The Copernicus remote sensing data is distributed internationally via the Copernicus Open Access Hub. The data is in the form of packages covering a defined area and, if available, also in the form of single images, which is the basic unit. Color syntheses and selected spectral bands provide a view of the state of vegetation in other spectral bands than the human eye permits. E.g. The Sentinel-2A MultiSpectral Instrument (MSI) records data in three wavelengths of visible light and also in the infrared band, which is particularly useful in agriculture in monitoring vegetation, soil, food safety, but also for monitoring of the environment in general. Properly chosen color synthesis can point to plant stress or soil erosion with a different color shade than is common for healthy and pro

Název v anglickém jazyce

ANALYSIS OF EARTH REMOTE SENSING DATA SETS AND THEIR USABILITY IN THE AGRICULTURAL SECTOR

Popis výsledku anglicky

The main objective of this article is to analyze the Earth remote sensing data sets and identify shortcomings limiting the efficient processing and use of these datasets in the agricultural sector and related industries. The Copernicus remote sensing data is distributed internationally via the Copernicus Open Access Hub. The data is in the form of packages covering a defined area and, if available, also in the form of single images, which is the basic unit. Color syntheses and selected spectral bands provide a view of the state of vegetation in other spectral bands than the human eye permits. E.g. The Sentinel-2A MultiSpectral Instrument (MSI) records data in three wavelengths of visible light and also in the infrared band, which is particularly useful in agriculture in monitoring vegetation, soil, food safety, but also for monitoring of the environment in general. Properly chosen color synthesis can point to plant stress or soil erosion with a different color shade than is common for healthy and pro

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20202 - Communication engineering and systems

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

AGRARIAN PERSPECTIVES XXVII. FOOD SAFETY – FOOD SECURITY PROCEEDINGS of the 27th International Scientific Conference September 19 - 20, 2018 Prague, Czech Republic ©

ISBN

978-80-213-2890-7

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

395-400

Název nakladatele

Czech University of Life Sciences Prague, Faculty of Economics and Management

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

19. 9. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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