Digital elevation models as predictors of yield: Comparison of an UAV and other elevation data sources

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F17%3A73758" target="_blank" >RIV/60460709:41310/17:73758 - isvavai.cz</a>

Alternative codes found

RIV/60460709:41330/17:73758

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Digital elevation models as predictors of yield: Comparison of an UAV and other elevation data sources

Original language description

Topography usually plays an important role for yield variability assessment. This study provides insight into the use of surface models from different sources for agriculture purposes: unmanned aerial vehicle imagery, LiDAR data and elevation data acquired from a harvester. The dataset from an aerial vehicle was obtained in the form of ortho mosaics and digital surface model using casual camera. The LiDAR data was provided by the State Administration of Land Surveying and Cadastre in the form of Digital Terrain Model of the 4 th and 5 th generation. The data of yield together with its coordinates were gained from a combine harvester in the form of a regular grid. Yield data was interpolated by kriging geostatistical method. Position data including an altitude was used for modelling the last digital surface model. All gained surface models were correlated with the spring barley yield. Results show correlation similarity across all tested models with the yield, no significant differences were sighted.

Czech name

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Czech description

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Type

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

CEP classification

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OECD FORD branch

10508 - Physical geography

Project

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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

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Volume of the periodical

15

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

249-255

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85019624558