Comparison of selected remote sensing sensors for crop yield variability estimation

Result code in 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>

Result on the web

<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>

Result language

čeština

Original language name

Comparison of selected remote sensing sensors for crop yield variability estimation

Original language description

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

Czech name

Comparison of selected remote sensing sensors for crop yield variability estimation

Czech description

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

Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Name of the periodical

Agronomy Research

ISSN

1406-894X

e-ISSN

—

Volume of the periodical

15

Issue of the periodical within the volume

4

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

10

Pages from-to

1636-1645

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-85034631425