Monitoring Oats and Winter Wheat Within-Field Spatial Variability by Satellite Images

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F18%3A76950" target="_blank" >RIV/60460709:41310/18:76950 - isvavai.cz</a>

Alternative codes found

RIV/00027006:_____/18:00004552

Result on the web

<a href="http://dx.doi.org/10.2478/sab-2018-0018" target="_blank" >http://dx.doi.org/10.2478/sab-2018-0018</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/sab-2018-0018" target="_blank" >10.2478/sab-2018-0018</a>

Result language

angličtina

Original language name

Monitoring Oats and Winter Wheat Within-Field Spatial Variability by Satellite Images

Original language description

Remote sensing is a methodology using different tools to monitor and predict yields. Spatial variability of crops can be monitored through sampling of vegetation indices derived from the entire crop growth, spatial variability can be used to plan further agronomic management. This paper evaluates the suitability of vegetation indices derived from satellite Landsat and EO 1 data that compare yield, topography wetness index, solar radiation, and meteorological data over a relatively small field (11,5 ha). Time series images were selected from 2006, 2010, and 2014, when oat was grown, and from 2005, 2011 and 2013, when winter wheat was grown. The images were selected from the entire growing season of the crops. An advantage of this method is the availability of these images and their easy application in deriving vegetation indices. It was confirmed that Landsat and EO 1 images in combination with meteorological data are useful for yield component prediction. Spatial resolution of 30 m was sufficient to

Czech name

—

Czech description

—

Type

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

CEP classification

—

OECD FORD branch

20705 - Remote sensing

Project

<a href="/en/project/QJ1520028" target="_blank" >QJ1520028: Assessing and modelling of tillage and gully erosion under the framework of total soil loss evaluation on intensively farmed land.</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

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

Name of the periodical

Scientia Agriculturae Bohemica

ISSN

1211-3174

e-ISSN

1805-9430

Volume of the periodical

49

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

9

Pages from-to

127-135

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-85049183180