| Full text | |
| Author(s): |
Ferreira, A. T. S.
;
Grohmann, Carlos Henrique
;
Ribeiro, Maria Carolina Hernandez
;
Santos, Marcelo Soares Teles
;
de Oliveira, Regina Celia
;
Siegle, Eduardo
Total Authors: 6
|
| Document type: | Journal article |
| Source: | METHODSX; v. 12, p. 8-pg., 2024-06-01. |
| Abstract | |
In contrast to traditional beach profiling methods like topographic surveys and GNSS, which pose significant challenges in terms of cost and time, this research underscores the efficiency, costeffectiveness, and simplicity of terrestrial photogrammetry employing the Structure from MotionMulti View Stereo (SfM-MVS) method. Notably, this approach enables the utilization of commonplace devices such as smartphones for data capture. The methodology integrates a 12-megapixel camera for image acquisition, processed through Agisoft Metashape Professional software, and validated for accuracy using ground control points (GCPs) and checkpoints (CKPs) calibrated via GNSS. Findings reveal substantial disparities in positional accuracy according to the Ground Control Points distribution. The study underscores the critical role of strategically distributing GCPs and CKPs in effectively mapping coastal areas, thus affirming the potential of SfM-MVS as a powerful and accessible tool for coastal monitoring initiatives. This research contributes significantly to advancing the efficiency and accessibility of beach profile monitoring, offering invaluable insights for researchers and practitioners in coastal management and environmental conservation efforts. center dot A simplified beach profile modeling methodology is proposed. center dot The method is faster and more cost-effective than traditional surveys (RTK GNSS, lidar, RPA). center dot The study highlights the importance of GCP and CKP distribution in enhancing SfM-MVS accuracy for coastal mapping. (AU) | |
| FAPESP's process: | 20/12050-6 - Microplastic's geochronology in coastal sediment: analysis based on optically stimulated luminescence (LOE), stable isotopes (13C), thermal analysis, and GNSS positioning |
| Grantee: | ANDERSON TARGINO DA SILVA FERREIRA |
| Support Opportunities: | Regular Research Grants |