THE COMBINATION OF UAV SURVEY AND LANDSAT IMAGERY FOR MONITORING OF CROP VIGOR IN PRECISION AGRICULTURE

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25328859%3A_____%2F16%3AN0000009" target="_blank" >RIV/25328859:_____/16:N0000009 - isvavai.cz</a>

Result on the web

<a href="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/953/2016/isprs-archives-XLI-B8-953-2016.pdf" target="_blank" >http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/953/2016/isprs-archives-XLI-B8-953-2016.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprsarchives-XLI-B8-953-2016" target="_blank" >10.5194/isprsarchives-XLI-B8-953-2016</a>

Result language

angličtina

Original language name

THE COMBINATION OF UAV SURVEY AND LANDSAT IMAGERY FOR MONITORING OF CROP VIGOR IN PRECISION AGRICULTURE

Original language description

Mapping of the with-in field variability of crop vigor has a long tradition with a success rate ranging from medium to high depending on the local conditions of the study. Information about the development of agronomical relevant crop parameters, such as above-ground biomass and crop nutritional status, provides high reliability for yield estimation and recommendation for variable rate application of fertilizers. The aim of this study was to utilize unmanned and satellite multispectral imaging for estimation of basic crop parameters during the growing season. The experimental part of work was carried out in 2014 at the winter wheat field with an area of 69 ha located in the South Moravia region of the Czech Republic. An UAV imaging was done in April 2014 using Sensefly eBee, which was equipped by visible and near infrared (red edge) multispectral cameras. For ground truth calibration the spectral signatures were measured on 20 sites using portable spectroradiometer ASD Handheld 2 and simultaneously plant samples were taken at BBCH 32 (April 2014) and BBCH 59 (Mai 2014) for estimation of above-ground biomass and nitrogen content. The UAV survey was later extended by selected cloud-free Landsat 8 OLI satellite imagery, downloaded from USGS web application Earth Explorer. After standard pre-processing procedures, a set of vegetation indices was calculated from remotely and ground sensed data. As the next step, a correlation analysis was computed among crop vigor parameters and vegetation indices. Both, amount of above-ground biomass and nitrogen content were highly correlated (r > 0.85) with ground spectrometric measurement by ASD Handheld 2 in BBCH 32, especially for narrow band vegetation indices (e.g. Red Edge Inflection Point). UAV and Landsat broadband vegetation indices varied in range of r = 0.5 - 0.7, highest values of the correlation coefficients were obtained for crop biomass by using GNDVI.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

GC - Plant growing, crop rotation

OECD FORD branch

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Project

<a href="/en/project/QI111A133" target="_blank" >QI111A133: Improvement of cereal variety potential realisation using temporal and spatial analysis of stand spectral characteristic</a><br>

Continuities

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

Publication year

2016

Confidentiality

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

Article name in the collection

XXIII ISPRS CONGRESS, COMMISSION VIII. Book Series: International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences

ISBN

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ISSN

2194-9034

e-ISSN

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Number of pages

5

Pages from-to

953-957

Publisher name

COPERNICUS GESELLSCHAFT MBH

Place of publication

Göttingen

Event location

Praha

Event date

Jan 1, 2016

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000393156000160