Erratum to: RPAS and GIS for landfill analysis

Abstract

The citation and text in the sentences of the 1.1 chapter should be corrected: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 [5]. 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 captures 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) [7]. 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).The line 88: Fig.3. Airborne Imaging Sensor products [http://www.itres.com/]. The line 95: Collected material is processed by specialized software, capable of performing classical photogrammetric and previously mentioned SfM photo processing and simulation (modeling) works in GIS [6]. The citation and text in the sentences of the 1.2 chapter should be corrected:The line 104: During review of the literature noted CALMIM software, that calculates the annual methane emission estimate of landfills for individual sites, based on the key processes that determine the emissions [11, 12, 13]. The line 151: Published literature on this topic over decade points out that due to specific local characteristics, the previous reliance on first-class kinetic models for the formation of methane of a landfill as a basis for predicting emissions is not precise, it is necessary to replace better, more scientifically based methodology for the following reasons [11][12][13][14][15]:3. The citation and text in the sentences of the 2.

Smart Farming: An Enhanced Pursuit of Sustainable Remote Livestock Tracking and Geofencing Using IoT and GPRS

“…The position is transmitted through an available wireless transmission medium such as a radio frequency, wireless, or cellular network. References [20][21][22] described a geofencing scheme based on the geographic area being divided into one or more grids. The proposed scheme exploits this grid structure to optimize computational resources required for location monitoring because a complex polygon requires more calculations to achieve the desired goal.…”