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USING OF RPAS IN PRECISION AGRICULTURE

Jaroslav Sedina, Eliska Housarova, Paulina Raeva

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s10.041View metrics

Abstract

Remotely Piloted Aircraft Systems (RPAS), which have become more popular in recent years, can obtain data on demand in a short time with a resolution within centimeters. Data collection is environmentally friendly and low-cost from an economical point of view; of course it is best for small areas, such as square kmпїЅs, only by using winged drones or in a few hectares by use of multi-copters. Both types have their advantages and disadvantages. Our laboratory of photogrammetry has, since 2012, focused on using RPAS (drones, UAV) for the mapping or monitoring of agriculture. For this purpose it is better to use winged drones пїЅ we have EBee drones at our disposal with new equipment including a thermal imager, multispectral imager, NIR, NIR red-edge and VIS camera. This is typical remote sensing equipment and is now usable on small areas for local case projects. Last year, we started new projects in precise agriculture research, and we tested the equipment on an agricultural site near Plana city (in the western part of the Czech Republic), near the village of VysokпїЅ SedliпїЅte. On the test site, we located fields of corn, rye and grassland. We collected data from the end of March till August in 2016 with a thermal and multispectral imager. A typical flight lasted 30 minutes, taking 200 multispectral images or 6000 thermal images (due to the order of magnitude, lower resolution images with 640x512 pixels were collected with 90% overlapping and were much faster by multispectral camera). Outputs from these instruments were thematic maps, NDVI progress, thermal index maps and unsupervised classification of five spectral channels using remote sensing softwareпїЅs like Geomatica or Envi. An output showed unequal development of vegetation in different locations.

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Publication details

Title
USING OF RPAS IN PRECISION AGRICULTURE
Authors
Jaroslav Sedina, Eliska Housarova, Paulina Raeva
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
331-338
SWS Citekey
Sedina201710331338
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 2

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