Scholarly record
USING OF RPAS IN PRECISION AGRICULTURE
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.
Publication Impact Profile
Publication details
References15
Jon, J., Koska, B., Pospíšil, J., AUTONOMOUS AIRSHIP EQUIPPED BY MULTI-SENSOR MAPPING PLATFORM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W1, pp 119-124, 2013.
Koska, B., Křemen, T., Štroner, M., Pospíšil, J., Jirka V., Land drainage system detection using IR and visual imagery taken from autonomous mapping airship and evaluation of physical and spatial parameters of suggested method, Proceedings of SPIE - The International Society for Optical Engineering 2014, 2014.
Casana, J., Kantner, J., Wiewel, A., Cothren, J., Archaeological aerial thermography: a case study at the Chaco-era Blue J community, New Mexico, Journal of Archaeological Science, 45, pp 207-219, 2014.
Šedina, J., Housarová, E., Matoušková, E., Documentation of Urn Graves of Knovíz Culture by RPAS, Geoinformatics FCE CTU, 15(2), pp 71-82, 2016.
Pavelka, K., Řezníček, J., Matoušková, E., Faltýnová, M., RPAS as a tool for the monitoring of a natural reserve, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, 3(2), pp 291-298, 2014.
Housarová, E., Pavelka, K., Šedina, J., Testing RPAS for cadastre purposes, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, 1(2), pp 1135-1142, 2015.
Housarová, E., Pavelka, K., Šedina, J., RPAS ACCURACY TESTING FOR USING IT IN THE CADASTRE OF REAL ESTATES OF THE CZECH REPUBLIC, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B1, pp 861-866, 2016.
Řehák, M., Pavelka, K., Using of uav for photogrammetry and thermal imaging, 33rd Asian Conference on Remote Sensing 2012, ACRS 2012, pp 2344, 2012.
Berni, J., Zarco-Tejada, P.J., Suarez, L., Fereres, E., Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle, Transactions on Geoscience and Remote Sensing, 47(3), pp 722-738, 2009.
Swain, K.C., Thomson, S.J., Jayasuriya,H.P.W., Adoption of an unmanned helicopter for low-altitude remote sensing to estimate yield and total biomass of a rice crop, Transactions of the ASABE, 53(1), pp 21-27, 2010.
Zarco-Tejada, P.J., González-Dugo, V., Berni, J.A.J., Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera, Remote Sensing of Environment, 117, pp 322-337 2012.
Torres-Sánchez, J., López-Granados. F., De Castro, A.I. and Peña-Barragán, J.M., Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management, PLoS ONE, 8(3), pp 322-337, 2013.
Erene, M., Montesinos,S., Portillo, D., Alvarez, J., Marin, C., Fernandez, L., Henarejos J. M., Ruiz, L. A., CONFIGURATION AND SPECIFICATIONS OF AN UNMANNED AERIAL VEHICLE FOR PRECISION AGRICULTURE, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B1, pp 809-816, 2016.
Gini, R., Passoni, D., Pinto, L., Sona, G., Aerial images from an UAV system: 3D modeling and tree species classification in a park area, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, XXXIX-B1, pp 361-366, 2012.
senseFly, Drones For Professionals, Mapping & Photogrammetry, Flight Planning & Control Software: senseFly SA, https://www.sensefly.com/drones/accessories.html, 2017.
Citing literature
Number of times cited according to Crossref: 2
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.


