scholarly journals Use of Unmanned Aerial Vehicles (UAVs) for Updating Farmland Cadastral Data in Areas Subject to Landslides

2018 ◽  
Vol 7 (8) ◽  
pp. 331 ◽  
Author(s):  
Edyta Puniach ◽  
Agnieszka Bieda ◽  
Paweł Ćwiąkała ◽  
Anita Kwartnik-Pruc ◽  
Piotr Parzych
Keyword(s):  
Data Processing ◽  
Unmanned Aerial Vehicles ◽  
Ground Level ◽  
Control Points ◽  
Pixel Size ◽  
Ground Sample ◽  
Above Ground Level ◽  
Aerial Vehicles ◽  
Shooting Distance ◽  
Data Processing Methods

The purpose of this study was to verify the applicability of unmanned aerial vehicles (UAVs) to update cadastral records in areas affected by landslides. Its authors intended to compare the accuracy of coordinates determined using different UAV data processing methods for points which form the framework of a cadastral database, and to find out whether products obtained as a result of such UAV data processing are sufficient to define the extent of changes in the cadastral objects. To achieve this, an experiment was designed to take place at the site of a landslide. The entire photogrammetry mission was planned to cover an area of more than 70 ha. Given the steep grade of the site, the UAV was flown over each line at a different, individually preset altitude, such as to ensure consistent mean shooting distance (height above ground level), and thus, appropriate ground sample distance (GSD; pixel size). The results were analyzed in four variants, differing from each other in terms of the number of control points used and the method of their measurement. This allowed identification of the factors that affect surveying accuracy and the indication of the cadastral data updatable based on an UAV photogrammetric survey.

Application of Cellular Communications Models and Designs for Use in Disaster-Aftermath Related Scenarios

2015 ◽  
Vol 7 (3) ◽  
pp. 46-56
Author(s):  
Stephen J. Curran
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Ground Level ◽  
Base Station ◽  
Cellular Communications ◽  
Fixed Position ◽  
Above Ground Level ◽  
High Altitude Platforms ◽  
Major Disaster ◽  
Future Strategy ◽  
Low Altitude

This paper is a pilot study on the concept of an aerial base station as a future strategy for restoring cellular communications in the aftermath of a major disaster. The strategy being studied makes use of low altitude platforms (LAPs) or unmanned aerial vehicles (UAVs) that can hover or orbit in a relatively fixed position and can act as an aerial base station. Unlike High Altitude Platforms (HAP) operating in a layer of the atmosphere above any existing air traffic, the LAPs or UAVs will be able to operate a few hundred to some thousands of meters above ground level. This paper also describes the functionality of the components comprising the aerial base station.

scholarly journals Autonomous Unmanned Aerial Vehicle (UAV) landing in windy conditions with MAP-Elites

2017 ◽  
Vol 32 ◽  
Author(s):  
Sierra A. Adibi ◽  
Scott Forer ◽  
Jeremy Fries ◽  
Logan Yliniemi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Unmanned Aerial Vehicles ◽  
Ground Level ◽  
Weather Conditions ◽  
High Wind ◽  
Aerial Vehicles ◽  
Dangerous Situation ◽  
Vertical Speed ◽  
Aerial Vehicle

AbstractWith the recent increase in the use of Unmanned Aerial Vehicles (UAVs) comes a surge of inexperienced aviators who may not have the requisite skills to react appropriately if weather conditions quickly change while their aircraft are in flight. This creates a dangerous situation, in which the pilot cannot safely land the vehicle. In this work we examine the use of the MAP-Elites algorithm to search for sets of weights for use in an artificial neural network. This neural network directly controls the thrust and pitching torque of a simulated 3-degree of freedom (2 linear, 1 rotational) fixed-wing UAV, with the goal of obtaining a smooth landing profile. We then examine the use of the same algorithm in high-wind conditions, with gusts up to 30 knots.Our results show that MAP-Elites is an effective method for searching for control policies, and by evolving two separate controllers and switching which controller is active when the UAV is near-ground level, we can produce a wider variety of phenotypic behaviors. The best controllers achieved landing at a vertical speed of <1 m s−1 and at an angle of approach of <1° degree.

scholarly journals UAV PHOTOGRAMMETRY IMPLEMENTATION TO ENHANCE LAND SURVEYING, COMPARISONS AND POSSIBILITIES

2016 ◽  
Vol XLII-2/W2 ◽  
pp. 107-114 ◽  
Author(s):  
R. El Meouche ◽  
I. Hijazi ◽  
P. A. Poncet ◽  
M. Abunemeh ◽  
M. Rezoug
Keyword(s):  
Unmanned Aerial Vehicles ◽  
3D Modeling ◽  
Maximum Error ◽  
Ground Control ◽  
Control Points ◽  
Ground Control Points ◽  
Area Of Interest ◽  
Aerial Vehicles ◽  
Land Surveying ◽  
Archeological Site

The use of Unmanned Aerial Vehicles (UAVs) for surveying is now widespread and operational for several applications – quarry monitoring, archeological site surveys, forest management and 3D modeling for buildings, for instance. UAV is increasingly used by land surveyors especially for those kinds of projects. It is still ambiguous whether UAV can be applicable for smaller sites and property division. Therefore, the objective of this research is to extract a vectorized plan utilizing a UAV for a small site and investigate the possibility of an official land surveyor exploiting and certificating it. To do that, two plans were created, one using a UAV and another utilizing classical land surveyor instruments (Total Station). A comparison was conducted between the two plans to evaluate the accuracy of the UAV technique compared to the classical one. Moreover, other parameters were also considered such as execution time and the surface covered. The main problems associated with using a UAV are the level of precision and the visualization of the whole area. The results indicated that the precision is quite satisfactory with a maximum error of 1.0&amp;thinsp;cm on ground control points, and 4&amp;thinsp;cm for the rest of the model. On the other hand, the results showed that it is not possible to represent the whole area of interest utilizing a UAV, due to vegetation.

scholarly journals Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

2020 ◽  
Vol 12 (6) ◽  
pp. 1046 ◽  
Author(s):  
Nathalie Guimarães ◽  
Luís Pádua ◽  
Pedro Marques ◽  
Nuno Silva ◽  
Emanuel Peres ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Unmanned Aerial Vehicles ◽  
Land Surface ◽  
Weather Conditions ◽  
Agroforestry Systems ◽  
Data Availability ◽  
Operational Costs ◽  
Aerial Vehicles ◽  
Wide Range

Currently, climate change poses a global threat, which may compromise the sustainability of agriculture, forestry and other land surface systems. In a changing world scenario, the economic importance of Remote Sensing (RS) to monitor forests and agricultural resources is imperative to the development of agroforestry systems. Traditional RS technologies encompass satellite and manned aircraft platforms. These platforms are continuously improving in terms of spatial, spectral, and temporal resolutions. The high spatial and temporal resolutions, flexibility and lower operational costs make Unmanned Aerial Vehicles (UAVs) a good alternative to traditional RS platforms. In the management process of forests resources, UAVs are one of the most suitable options to consider, mainly due to: (1) low operational costs and high-intensity data collection; (2) its capacity to host a wide range of sensors that could be adapted to be task-oriented; (3) its ability to plan data acquisition campaigns, avoiding inadequate weather conditions and providing data availability on-demand; and (4) the possibility to be used in real-time operations. This review aims to present the most significant UAV applications in forestry, identifying the appropriate sensors to be used in each situation as well as the data processing techniques commonly implemented.

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