Winter wheat, winter rape and poppy crop growth evaluation with the help of remote and proximal sensing measurements

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F20%3A84501" target="_blank" >RIV/60460709:41310/20:84501 - isvavai.cz</a>

Výsledek na webu

<a href="http://dspace.emu.ee/xmlui/handle/10492/6104" target="_blank" >http://dspace.emu.ee/xmlui/handle/10492/6104</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15159/AR.20.176" target="_blank" >10.15159/AR.20.176</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Winter wheat, winter rape and poppy crop growth evaluation with the help of remote and proximal sensing measurements

Popis výsledku v původním jazyce

Monitoring of agricultural crops with the help of remote and proximal sensors during the growing season plays important role for site-specific management decisions. Winter wheat, winter rape and poppy are representatives of typical agricultural crops from the family Poacea, Brassicaceae and Papaveraceae, growing in relative dry area of Rakovnik district in the Czech Republic. Ten Sentinel 2 satellite images acquired during vegetation season of the crops were downloaded and processed. Crops were monitored with the help of unmanned aerial vehicles (UAV) equipped with consumer grade Red Green Blue (RGB) camera and multispectral (MS) MicaSense RedEdge MX camera. In-field variability was assessed by computing RGB-based vegetation indices Triangular Greenness Index (TGI), Green Leaf Index (GLI) and Visible Atmospherically Resistant Index (VARI) and commonly used vegetation indices as Normalised Difference Vegetation Index (NDVI) and Green NDVI (GNDVI). The results derived from satellite and UAV images were

Název v anglickém jazyce

Winter wheat, winter rape and poppy crop growth evaluation with the help of remote and proximal sensing measurements

Popis výsledku anglicky

Monitoring of agricultural crops with the help of remote and proximal sensors during the growing season plays important role for site-specific management decisions. Winter wheat, winter rape and poppy are representatives of typical agricultural crops from the family Poacea, Brassicaceae and Papaveraceae, growing in relative dry area of Rakovnik district in the Czech Republic. Ten Sentinel 2 satellite images acquired during vegetation season of the crops were downloaded and processed. Crops were monitored with the help of unmanned aerial vehicles (UAV) equipped with consumer grade Red Green Blue (RGB) camera and multispectral (MS) MicaSense RedEdge MX camera. In-field variability was assessed by computing RGB-based vegetation indices Triangular Greenness Index (TGI), Green Leaf Index (GLI) and Visible Atmospherically Resistant Index (VARI) and commonly used vegetation indices as Normalised Difference Vegetation Index (NDVI) and Green NDVI (GNDVI). The results derived from satellite and UAV images were

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

40101 - Agriculture

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Agronomy Research

ISSN

1406-894X

e-ISSN

—

Svazek periodika

18

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

2049-2059

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85098209548