scholarly journals Using UAV Photogrammetry to Analyse Changes in the Coastal Zone Based on the Sopot Tombolo (Salient) Measurement Project

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 4000 ◽  
Author(s):  
Pawel Burdziakowski ◽  
Cezary Specht ◽  
Pawel S. Dabrowski ◽  
Mariusz Specht ◽  
Oktawia Lewicka ◽  
...  

The main factors influencing the shape of the beach, shoreline and seabed include undulation, wind and coastal currents. These phenomena cause continuous and multidimensional changes in the shape of the seabed and the Earth’s surface, and when they occur in an area of intense human activity, they should be constantly monitored. In 2018 and 2019, several measurement campaigns took place in the littoral zone in Sopot, related to the intensive uplift of the seabed and beach caused by the tombolo phenomenon. In this research, a unique combination of bathymetric data obtained from an unmanned surface vessel, photogrammetric data obtained from unmanned aerial vehicles and ground laser scanning were used, along with geodetic data from precision measurements with receivers of global satellite navigation systems. This paper comprehensively presents photogrammetric measurements made from unmanned aerial vehicles during these campaigns. It describes in detail the problems in reconstruction within the water areas, analyses the accuracy of various photogrammetric measurement techniques, proposes a statistical method of data filtration and presents the changes that occurred within the studies area. The work ends with an interpretation of the causes of changes in the land part of the littoral zone and a summary of the obtained results.

Author(s):  
Mikko Vastaranta ◽  
Ninni Saarinen ◽  
Tuomas Yrttimaa ◽  
Ville Kankare ◽  
Samuli Junttila

In this review, we summarize the current state-of-the-art in the utilization of close-range sensing in forest monitoring. We include technologies, such as terrestrial and mobile laser scanning as well as unmanned aerial vehicles, which are mainly used for collecting detailed information from single trees, forest patches or small forested landscapes. Based on the current published scientific literature, the capacity to characterize changes in forest ecosystems using close-range sensing has clearly been recognized. Forest growth has been the most investigated cause for changes and terrestrial laser scanner the most applied sensor for capturing forest structural changes. Unmanned aerial vehicles, on the other hand, have been used to acquire aerial imagery for detecting tree height growth and monitoring forest health. Mobile laser scanning has not yet been used in forest change monitoring except for a few early investigations. Considering the length of the forest growth process, investigated time spans have been rather short, less than 10 years. In addition, data from only two time points have been used in many of the studies, which has further been limiting the capability of understanding dynamics related to forest growth. In general, method development and quantification of changes have been the main interests so far regardless of the driver of change. This shows that the close-range remote sensing community has just started to explore the time dimension and its possibilities for forest characterization.


Author(s):  
Tuncay Yunus Erkec ◽  
Chingiz Hajiyev

This paper is committed to the relative navigation of Unmanned Aerial Vehicles (UAVs) flying in formation flight. The concept and methods of swarm UAVs technology and architecture have been explained. The relative state estimation models of unmanned aerial vehicles which are based on separate systems as Inertial Navigation Systems (INS)&Global Navigation Satellite System (GNSS), Laser&INS and Vision based techniques have been compared via various approaches. The sensors are used individually or integrated each other via sensor integration for solving relative navigation problems. The UAV relative navigation models are varied as stated in operation area, type of platform and environment. The aim of this article is to understand the correlation between relative navigation systems and potency of state estimation algorithms as well during formation flight of UAV.


Author(s):  
Brianna Christensen ◽  
Enson Chang ◽  
Nathaniel Tamminga

All unmanned aerial vehicles that use synthetic aperture radar (SAR) systems are equipped with inertial navigation systems (INS) to reduce motion error. Additional motion compensation (MOCOMP) from the data itself is still necessary to achieve required accuracy of a SAR. An affordable method for small drones has yet to be created. We propose machine learning with deep convolutional neural network (CNN) to extract motion error such as sway (right and left) and surge (forward). Results show that the CNN is capable of recognizing gradual drone motion deviations. It has the potential to pick up sudden motion error as well, overcoming major deficiencies of traditional MOCOMP methods, and the need for INS.


2018 ◽  
Vol 8 (2) ◽  
pp. 79-88
Author(s):  
Edyta Puniach ◽  
Anita Kwartnik-Pruc

Abstract Construction surveying consist in overall surveying works performed at every stage of the construction and use of a building structure. The surveyor participates in the processes of designing, direct implementation, maintenance and use, as well as demolition of a building structure. Advanced surveying techniques, such as laser scanning and UAV photogrammetry, are being increasingly used to perform the surveyor’s tasks. The aim of this research paper was to analyze the Polish legal regulations for the possibilities of applying the above-mentioned techniques to carry out the surveying works which are subject to the obligatory submission to public administration authorities. The primary focus was placed on the type of the works associated with construction surveying. The conducted research studies confirmed the lack of appropriate guidelines that would clearly define the scope and method of using laser scanning and UAV photogrammetry in construction surveying. At the same time, it was demonstrated that both these techniques of spatial data acquisition were sufficiently accurate to perform plane and vertical land surveys pursuant to the legal acts currently in force in Poland, and they can be used at selected stages of construction surveying. Finally, the authors proposed some solutions that would make it easier for the surveyors to use laser scanning and UAV photogrammetry in standard surveying works.


Author(s):  
Anastasia D. Anikaeva ◽  
◽  
Dmitry A. Martyushev ◽  

The relevance of the study is explained by the need to use unmanned aerial vehicles (UAV) to serve engineering and geodetic tasks in the oil and gas industry. Airborne photographic survey using unmanned aerial vehicles is currently an advanced technology in the area of geodesy and it replaces such methods as tacheometry, satellite-based positioning in RTK modes, manned aerial photography, and aiborne laser scanning (ALS). The potential for using UAVs in the oil and gas industry today is truly enormous. Numerous safety and reliability problems, which traditionally have been cost consuming for oil and gas companies, can be effectively addressed using UAVs. The study included processing of data obtained from the unmanned complex in three modern software packages (Agisoft Photoscan Professional, v 1.2.5.2594 (Russia), ERDAS IMAGINE, v 2015 (USA) and Pix4Dmapper Pro (Switzerland)) of various automation degrees; assessment of accuracy in ArcMap software by superimposing a topographic plan on an orthomosaic with a scale of 1: 500 on the territory under consideration; calculation of economic and labor costs. As part of the study, it was proved that the use of UAVs was possible not only for the geodetic work, but also for solving other equally important tasks of the oil and gas industry, which leads to a decrease in economic and environmental risks, automation of processes related to monitoring of oil facilities, prevention of illegal attempts of pipeline tie-ins, oil spills. In addition, based on the obtained orthophotomaps, the economic, accuracy and labor-time feasibility of using unmanned systems were confirmed. It has been established that the use of unmanned aerial vehicles in various fields of oil and gas activities for solving engineering and geodetic problems is an integral part of any company engaged in the production and transportation of hydrocarbons.


Author(s):  
Mikhail Y. Bryn ◽  
◽  
Dinara R. Bashirova ◽  

The application of mobile laser scanning and aerial photography from unmanned aerial vehicles for shooting highways is considered. The aim of the research was to compare the results of shooting using mobile laser scanning systems and aerial photography from an unmanned aerial vehicle to de-termine the preferred option for shooting a highway. The experimental part of the research was carried out using the following equipment: scanning was performed using the Topcon IP - S2 Compact sys-tem, aerial photography was carried out from the GEOSCAN 201 unmanned aerial vehicle. Based on the comparative tests performed on the section of the A - 121 "Sortavala" highway, a comparative analysis of the data obtained for various indicators was carried out: the speed of the shooting stages, the cost of a set of equipment, the cost of shooting, and the accuracy of the results was evaluated. Practical recommendations for the application of these methods are given, their advantages and disad-vantages are indicated.


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