Erratum to: RPAS and GIS for landfill analysis
E3S Web of Conferences
The line 39: Such a classification for civilian UAVs is taken from the military (Fig. 2 ) [3, 4] . The line 44: Fig. 2 . Examples of fixed-wing unmanned aerial systems (UAS) platforms for trace gas monitoring . The line 47: The aircraft's flight height, duration, load lift capacity is influenced by its size. These aircrafts can be considered as the category of MINI UAVs (MUAV) [4, 5, 6] . The line 61: For each pixel of each photo they usually capture 5-7 spectral bands, of which 1-2 bands
... tures part of the NIR wave spectrum, the red and green spectra, and spectrum corresponding color red is divided into several parts, since in case of plant investigation, the so-called Red Edge range is extremely informative (helpful)  . The line 67: In this case, the information is captured by a slightly different principle ("Push-broom") -not by capturing a rectangular picture, but one line of pixels, that represent one band spectrum instead and the entire sensor travels with the aircraft in the desired direction, simultaneously covering same pixels with all different possible bands [4, 7, 9]. The line 68: There are also attempts to produce small lightweight camera-type spectrometers [8, 9] (Fig. 3 ). The line 78: The suitability of these systems for further research, industrial or everyday life application depends on that [8, 9] . The line 82: The more complex main sensor used, the more important is the overall calibration of the system [9, 10]. The line 86: From relevant (just captured) images, orthophotographic images are created for mapping the area with precise contours, topographic material is updated with generated height information (DSM -Digital Surface Model, Fig. 4 ).