Volume XL-7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 1-8, 2014
https://doi.org/10.5194/isprsarchives-XL-7-1-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 1-8, 2014
https://doi.org/10.5194/isprsarchives-XL-7-1-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  19 Sep 2014

19 Sep 2014

Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs

H. Aasen, J. Bendig, A. Bolten, S. Bennertz, M. Willkomm, and G. Bareth H. Aasen et al.
  • Department of Geoscienece, University of Colgone, Cologne, Germany

Keywords: Hyperspectral, full-frame imager, UAV, vegetation, agricultural crops, precision agriculture

Abstract. Hyperspectral remote sensing helps to acquire information about the status of agricultural crops to allow optimized management practices in the context of precision agriculture. Due to technological innovations small and lightweight hyperspectral sensors have become available which may be carried by unmanned aerial vehicles (UAVs). In this paper we give a brief overview over existing hyperspectral sensors for UAVs. We focus on a new type of full-frame sensors which capture hyperspectral information in two dimensional image frames. We then develop a calibration procedure for these sensors and identify challenges in remote sensing of vegetation. The calibration is evaluate by in-field data acquired during a flight campaign. The spectral calibration shows good results with less than three percent difference in reflection for 110 of the 125 bands (458 to 886 nm).