Comparison of selected remote sensing sensors for crop yield variability estimation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F17%3A74764" target="_blank" >RIV/60460709:41310/17:74764 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.15159/AR.17.016" target="_blank" >http://dx.doi.org/10.15159/AR.17.016</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15159/AR.17.016" target="_blank" >10.15159/AR.17.016</a>

Jazyk výsledku

čeština

Název v původním jazyce

Comparison of selected remote sensing sensors for crop yield variability estimation

Popis výsledku v původním jazyce

Currently, spectral indices are very common tool how to describe various characteristics of vegetation. In fact, these are mathematical operations which are calculated using specific bands of electromagnetic spectrum. Nevertheless, remote sensing sensors can differ due to the variations in bandwidth of the particular spectral channels. Therefore, the main aim of this study is to compare selected sensors in terms of their capability to predict crop yield by NDVI utilization. The experiment was performed at two locations (Prague Ruzyně and Vendolí) in the year 2015 for both locations and in 2007 for Prague Ruzyně only, when winter barley or spring barley grew on the plots. The cloud free satellite images were chosen and normalised difference vegetation indices were calculated for each image. Landsat satellite images with moderate spatial resolution were chosen during the crop growth for selected years. The other data sources were commercial satellite images with very high spatial resolution QuickBird i

Název v anglickém jazyce

Comparison of selected remote sensing sensors for crop yield variability estimation

Popis výsledku anglicky

Currently, spectral indices are very common tool how to describe various characteristics of vegetation. In fact, these are mathematical operations which are calculated using specific bands of electromagnetic spectrum. Nevertheless, remote sensing sensors can differ due to the variations in bandwidth of the particular spectral channels. Therefore, the main aim of this study is to compare selected sensors in terms of their capability to predict crop yield by NDVI utilization. The experiment was performed at two locations (Prague Ruzyně and Vendolí) in the year 2015 for both locations and in 2007 for Prague Ruzyně only, when winter barley or spring barley grew on the plots. The cloud free satellite images were chosen and normalised difference vegetation indices were calculated for each image. Landsat satellite images with moderate spatial resolution were chosen during the crop growth for selected years. The other data sources were commercial satellite images with very high spatial resolution QuickBird i

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

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

15

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

1636-1645

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85034631425