The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLI-B1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 809–816, 2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 809–816, 2016

  06 Jun 2016

06 Jun 2016


M. Erena1, S. Montesinos2, D. Portillo3, J. Alvarez4, C. Marin5, L. Fernandez2, J. M. Henarejos1, and L. A. Ruiz6 M. Erena et al.
  • 1GIS and Remote Sensing Group- IMIDA, 30150, La Alberca, Murcia, Spain
  • 2SM Geodim, Torre Albarrana, 50340 Maluenda, Zaragoza, Spain
  • 3Habitat, Avda. Don Juan de Borbón, Nº 98, C.P. 30007, Murcia, Spain
  • 4Droning, Calle Astronomía 1, Torre 2, 6-11, 41015, Sevilla, Spain
  • 5Bioiberica, Plaça Francesc Macià, 7, 08029, Barcelona, España
  • 6Geo-Environmental Cartography & Remote Sensing Group, UPV, Calle Vera s/n, 46022, Valencia, Spain

Keywords: UAV, calibration, multispectral, multitemporal, viticulture

Abstract. Unmanned Aerial Vehicles (UAVs) with multispectral sensors are increasingly attractive in geosciences for data capture and map updating at high spatial and temporal resolutions. These autonomously-flying systems can be equipped with different sensors, such as a six-band multispectral camera (Tetracam mini-MCA-6), GPS Ublox M8N, and MEMS gyroscopes, and miniaturized sensor systems for navigation, positioning, and mapping purposes. These systems can be used for data collection in precision viticulture. In this study, the efficiency of a light UAV system for data collection, processing, and map updating in small areas is evaluated, generating correlations between classification maps derived from remote sensing and production maps. Based on the comparison of the indices derived from UAVs incorporating infrared sensors with those obtained by satellites (Sentinel 2A and Landsat 8), UAVs show promise for the characterization of vineyard plots with high spatial variability, despite the low vegetative coverage of these crops. Consequently, a procedure for zoning map production based on UAV/UV images could provide important information for farmers.