Effect of photogrammetric RPAS flight parameters on plani-altimetric accuracy of DTM

Abstract

Remotely piloted aerial systems (RPASs) are gaining fast and wide application around the world due to its relative low-cost advantage in the acquisition of high-resolution imagery. However, standardized protocols for the construction of cartographic products are needed. The aim of this paper is to optimize the generation of digital terrain models (DTMs) by using different RPAS flight parameters. An orthogonal design L18 was used to measure the effect of photogrammetric flight parameters on the DTM generated. The image data were acquired using a DJI Phantom 4 Pro drone and six flight parameters were evaluated: flight mode, altitude, flight speed, camera tilt, longitudinal overlap and transversal overlap. Fifty-one ground control points were established using a global positioning system. Multivision algorithms were used to obtain ultra-high resolution point clouds, orthophotos and 3D models from the photos acquired. Root mean square error was used to measure the geometric accuracy of DTMs generated. The effect of photogrammetric flight parameters was carried out by using analysis of variance statistical analysis. Altimetric and planimetric accuracies of 0.38 and 0.11 m were achieved, respectively. Based on these results, high-precision cartographic material was generated using low-cost technology.

Integrating Geospatial Techniques and Uas Technology to Update Lidar DTM for Flood Modeling in Las Nieves, Agusan Del Norte, Philippines

“…Moreover, the Pix4D recommends at least 75% of front overlap and 60% of side overlap (Pix4D, 2017). According to the main effect analysis of a study that higher percentages of longitudinal overlaps reflected a lower RMSE value (Mora-Felix, et al, 2020). Substantially, the front overlap can be greater than or equal to the side overlap.…”

Standardizing Criteria for Calculating Urban Storm Drainage Flow Rates Using Basin Division Based on Aerial Photogrammetry: The Case Study of Culiacan, Mexico

“…The flight lines and polygon were established using DJI's GSP-PRO software version v2.0. The images obtained from the photogrammetric flight were processed using Agisoft Metashape Professional software version 1.5.2, following the workflow proposed by Mora-Felix et al [31].…”

“…The GCPs measured in the field were used to adjust the external orientation of the photographs, considering the camera model's parameters. A dense point cloud was generated using a moderate filter to achieve more accurate results in the elevation coordinates [31]. The main outputs of the digital photogrammetry process were the orthophotography and DEM.…”

Flood-Prone Area Delineation in Urban Subbasins Based on Stream Ordering: Culiacan Urban Basin as a Study Case

“…The flight planning and the image processing algorithms suggested by Mora-Félix et al [29] were applied to obtain the orthophoto. This orthogonal projection was used to visualize the 29 points marked and distributed on the ground over the study area by accessing the geometric properties (graphic entities) of the cartographic plane.…”

“…The root mean square error (RMSE) was calculated to estimate the positional accuracy as suggested by Mora-Félix et al [29] and Polidori and El Hage [27]. The RMSE is the square root of the average of squared errors between the values observed in the DEM and the values of the coordinates (x, y, z) obtained from GCP according to Equations ( 1) and ( 2).…”