Acquisition and Processing Data from UAVs in the Process of Generating 3D Models for Solar Potential Analysis

Abstract

UAVs have recently become a very popular tool for acquiring geospatial data. Photographs, films, images, and results of measurements of various sensors from them constitute source material for generating, among other things, photographic documentation, visualisation of places and objects, cartographic materials and 3D models. These models are not only material for the visualisation of objects but are also source material for spatial analysis, including the assessment and analyses of the solar potential of buildings. This research aims to benchmark the feasibility of using UAV-derived data acquired from three sensors, namely the DJI Zenmuse P1 camera, the Share PSDK102S v2 multi-lens camera and the DJI Zenmuse L1 laser scanner. The data from these were acquired for the construction of comprehensive and reliable 3D models, which will form the basis for generating solar potential maps. Various sensors, data storage formats, and geospatial data processing capabilities are analysed to determine the most optimal and efficient solution for providing accurate, complete and reliable 3D models of places and objects for the construction of solar potential maps. In this paper, the authors prepare a compilation of the results of the studies from different measurement combinations and analyse the strengths and weaknesses of the different solutions, as well as the integration of the results for an optimal 3D model, which was used to perform solar potential analyses for the selected built-up area. The results of the study show that the parameters for assessing the quality of a 3D model can be statistical parameters that determine the coplanarity of roof slope points (i.e., standard deviation, distances from the plane, and RMS value). The completeness of the model is defined as the percentage of the recorded area by sensors to the total area of the model.

Infiltration Efficiency Index for GIS Analysis Using Very-High-Spatial-Resolution Data

“…The subsequent UAV survey mission involved the utilization of the DJI Matrice M300 RTK and the DJI Zenmuse L1 LiDAR payload (Table 2). This particular model of UAV is commonly employed by numerous authors in various studies that necessitate spatial data acquisition with exceptionally high positional accuracy [68][69][70]. The used laser scanner, DJI Zenmuse L1, incorporates a stabilized three-axis gimbal, an RGB sensor, and an IMU unit.…”

Defining the Computational Domain and Boundary Conditions for Fluid Flow in a Mining Excavation

“…For underground mine conditions acquisition of sufficiently precise data with the classic measurement methods is practically impossible. Fortunately, the new LiDAr scanning methods, which have become popular for the acquisition of digital 3D models of various structures, can also be applied in underground mine workings [28], in remediation of grassland subsidence [4] or in Solar Potential Analysis [23].…”