Scaling up UAVs for land administration: Towards the plateau of productivity

Stöcker, Claudia; Bennett, Rohan; Koeva, Mila; Nex, Francesco; Zevenbergen, J.A.

doi:10.1016/j.landusepol.2021.105930

Cited by 16 publications

(13 citation statements)

References 23 publications

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“…Referring to cloud, mobile, and big data technologies, [55] provides a vision for land administration systems becoming an 'as a service' platform. [56] reveal it as one potential aspect to support scaling up the use of Unmanned Aerial Vehicles (UAVs) more quickly within land administration (i.e., UAVs as-a-Service), from case work out of Rwanda, Ethiopia, and Kenya. The authors of [57] propose use of the SaaS concept as part of a Volunteer Rights-based Spatial Data Infrastructure (VRSDI) to support low-cost, faster paced land rights information capture in Iran.…”

Section: Analysing Contemporary Applicationsmentioning

confidence: 99%

Land Administration As-A-Service: Relevance, Applications, and Models

Bennett

Donovan

Masli

et al. 2023

Land

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The ‘as-a-Service’ (aaS) concept of the IT sector is suggested to reduce upfront and ongoing costs, enable easier scaling, and make for simpler system upgrades. The concept is explored in relation to the domain of land administration, with a view to examining its relevance, application, and potential adaptation. Specifically, these aspects are analysed against the long-standing problem of land administration system maintenance. Two discrete literature reviews, a comparative analysis, and final modelling work constitute the research design. Of the 35 underlying land administration maintenance issues identified, aaS is found to directly respond to 15, indirectly support another 15, and provide no immediate benefit to 5. Most prominent are the ability of aaS to support issues relating to financial sustainability, continuous innovation, and human capacity provision. The approach is found to be already in use in various country contexts. It is articulated by the UNECE as one of four scenarios for future land administration development. In terms of adaptation, the 4-tier framework from Enterprise Architecture—consisting of Business, Application, Information, and Technology layers—is used to model and describe five specific aaS approaches: (i) On Premises; (ii) Basic Outsourcing; (iii) Public Private Partnership; (iv) Fully Privatised; and (v) Subscription. Several are more theoretical in nature but may see future adoption. Each requires further development, including case analyses, to support more detailed definitions of the required underlying legal frameworks, financial models, partnerships arrangements, data responsibilities, and so on. Decisions on the appropriate aaS model, and the application of aaS more generally, are entirely dependent on the specific country context. Overall, this work provides a platform for land administration researchers and practitioners to analyse the relevance and implementation options of the aaS concept.

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Section: Analysing Contemporary Applicationsmentioning

confidence: 99%

Land Administration As-A-Service: Relevance, Applications, and Models

Bennett

Donovan

Masli

et al. 2023

Land

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“…Likewise, current advances in microelectronics and proximity/optical sensors [ 25 , 26 ], coupled with the availability of detailed geographic information systems mapping [ 27 , 28 , 29 ], contributed to the development of micro-UAVs [ 30 ] that can be operated autonomously at very low altitudes within dense urban locations and provide accurate intelligence data.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems

Stamate

Pupăză

Nicolescu

et al. 2023

Sensors

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Today, there is a conspicuous upward trend for the development of unmanned aerial vehicles (UAVs), especially in the field of multirotor drones. Their advantages over fixed-wing aircrafts are that they can hover, which allows their usage in a wide range of remote surveillance applications: industrial, strategic, governmental, public and homeland security. Moreover, because the component market for this type of vehicles is in continuous growth, new concepts have emerged to improve the stability and reliability of the multicopters, but efficient solutions with reduced costs are still expected. This work is focused on hexacopter UAV tests carried out on an original platform both within laboratory and on unrestricted open areas during the start–stop manoeuvres of the motors to verify the operational parameters, hover flight, the drone stability and reliability, as well as the aerodynamics and robustness at different wind speeds. The flight parameters extracted from the sensor systems’ comprising accelerometers, gyroscopes, magnetometers, barometers, GPS antenna and EO/IR cameras were analysed, and adjustments were performed accordingly, when needed. An FEM simulation approach allowed an additional decision support platform that expanded the experiments in the virtual environment. Finally, practical conclusions were drawn to enhance the hexacopter UAV stability, reliability and manoeuvrability.

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“…It has taken decades for the cadastre to be complete in these countries, where conventional techniques such as ground-based surveying techniques or analogue aerial photogrammetry have typically been used [10]. Both methods are considered labour intensive and time-consuming [11,12]. The result was the creation of analogue cadastral maps and land records that later had to be digitised and integrated into a geographic information system (GIS) or broader land information systems.…”

Section: Introductionmentioning

confidence: 99%

“…The reality that cadastres attempt to depict is complex and dynamic [14,15], and underestimating the dynamics of the relationships between people and land, in reality, has led to outdated cadastral maps. Apart from the advances in surveying and mapping technologies, most of which have already been tested in developing countries [16][17][18][19], cadastral surveying and boundary data maintenance in developed countries continued to be carried out using ground-based techniques such as tacheometry and global navigation satellite systems (GNSS) methods [10,12]. This approach presents many challenges in terms of mapping efficiency, which can be overcome by low-cost and rapid cadastral surveying and indirect mapping techniques.…”

Section: Introductionmentioning

confidence: 99%

Revising Cadastral Data on Land Boundaries Using Deep Learning in Image-Based Mapping

Fetai

Grigillo

Lisec

2022

IJGI

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One of the main concerns of land administration in developed countries is to keep the cadastral system up to date. The goal of this research was to develop an approach to detect visible land boundaries and revise existing cadastral data using deep learning. The convolutional neural network (CNN), based on a modified architecture, was trained using the Berkeley segmentation data set 500 (BSDS500) available online. This dataset is known for edge and boundary detection. The model was tested in two rural areas in Slovenia. The results were evaluated using recall, precision, and the F1 score—as a more appropriate method for unbalanced classes. In terms of detection quality, balanced recall and precision resulted in F1 scores of 0.60 and 0.54 for Ponova vas and Odranci, respectively. With lower recall (completeness), the model was able to predict the boundaries with a precision (correctness) of 0.71 and 0.61. When the cadastral data were revised, the low values were interpreted to mean that the lower the recall, the greater the need to update the existing cadastral data. In the case of Ponova vas, the recall value was less than 0.1, which means that the boundaries did not overlap. In Odranci, 21% of the predicted and cadastral boundaries overlapped. Since the direction of the lines was not a problem, the low recall value (0.21) was mainly due to overly fragmented plots. Overall, the automatic methods are faster (once the model is trained) but less accurate than the manual methods. For a rapid revision of existing cadastral boundaries, an automatic approach is certainly desirable for many national mapping and cadastral agencies, especially in developed countries.

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Scaling up UAVs for land administration: Towards the plateau of productivity

Cited by 16 publications

References 23 publications

Land Administration As-A-Service: Relevance, Applications, and Models

Land Administration As-A-Service: Relevance, Applications, and Models

Improvement of Hexacopter UAVs Attitude Parameters Employing Control and Decision Support Systems

Revising Cadastral Data on Land Boundaries Using Deep Learning in Image-Based Mapping

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