Conference Agenda

10-03: Potential and pitfalls of using drone imagery
Thursday, 28/Mar/2019:
10:30am - 12:00pm

Session Chair: Tobias Landmann, Remote Sensing Solutions GmbH, Germany
Location: MC 2-800


Drones and the structure from motion (SfM) technique in cadastral surveying

Walter Volkmann

MicroAerial Projects LLC, United States of America

The use of small drones is spreading rapidly into several application fields. The adoption of drone operations has been quicker in cases where the relative safety and economic advantages are easily demonstrated or where they are blatantly obvious. Opportunities such as power and pipe line inspections, aerial plant health monitoring, commercial photography and video work, roof inspections and search and rescue support have been seized very quickly by entrepreneurs in general. Cadastral surveying however is practiced almost exclusively by highly qualified and certified specialists and is subject to rigorous rules and strict standards. Before the benefits of drones and the important structure from motion (SfM) mapping technique can be realized in cadastral surveying the regulatory environment needs to be amended accordingly. This presentation discusses how regulatory hurdles in the adoption of drone/SfM techniques can be effectively addressed to achieve legitimization of drones/SfM as a valid tool in surveying.


Drone-based geomatics land data acquisition methodology - case study: city of Adama and rural area of Mojo, Ethiopia

Sukhee Cho1, Munseok Lee1, Solomon Kebede2

1Hojung Solutions CO. LTD, Korea, Republic of (South Korea); 2Ministry of Urban Development and Housing, The Government of Ethiopia

One of the basic challenges of establishing a sound land governance system is finding a fast, reliable, economical, and sustainable land measurement tool. It is difficult to have a complete and practical land administrative system without an efficient method of cadastral data production to feed into the overall land information framework.Through a cadastral surveying project conducted in Ethiopia, our project made several observations on the effectiveness of a bottom-up approach to land governance projects through a cadastral survey methodology using a combination of drones and conventional resection survey conducted in collaboration with the local survey team. This methodology is ideal to introduce strategically in local areas. This drone-based solutions is an effective means of catalyzing innovation not simply because it introduces a new technological application but because the methodology is believed to be adaptable, transferable, empowerable and sustainable by the local community of land survey experts.


Evaluation of UAV-based technology to capture land rights in Kenya: displaying stakeholder perspectives through interactive gaming

Claudia Stocker1, Mila Koeva1, Jaap Zevenbergen1, Rohan Bennett2,3

1University of Twente ITC, The Netherlands; 2Swinburne Business School, Australia; 3Kadaster International, The Netherlands

Limitations of western-oriented land administration systems and traditional surveying approaches have indisputably contributed to a reality where approximately 70% of the world’s land rights are not recorded. Amongst others, unmanned aerial vehicles (UAVs) are evolving as a remote sensing tool for alternative data acquisition. However, so far UAVs have only been tested and rarely been implemented in the context of land tenure mapping. To investigate technology uptake and to unlock the potential of UAV-based remote sensing, this paper introduces an interactive game. Key stakeholders were asked to rank four different means of data acquisition, namely satellite images, aerial images, UAV images and ground surveying according to six predefined indicators. The results of the board game visually unveiled opportunities and drawbacks of each data acquisition technology from the perspective of the stakeholder while the continuous group discussion provided valuable insights into existing workflows and different perceptions.


The challenges and opportunities of AI and drone technology in land management and poverty assessment

Daniel Cocanu1, Bogdan Nedelcu2, Traian Rebedea1, Marius Leordeanu2

1Teamnet, Romania; 2Autonomous Systems, Romania

Urban areas are quickest to adopt and implement smart technologies in order to improve decisional processes, thus increase the quality of life, while rural areas and rural communities are much more conservative and backwards facing.

We investigate the opportunities that arise from using up-to-date high resolution in-situ information collected with drone technology into a decisional platform for local authorities to support better land governance and land use practices while providing coherent land policies. Using Machine Learning techniques such as Deep Learning, our goal is to turn data collection into actionable information systems supporting smart development.

Combining drone imagery, GIS technology and Artificial intelligence, cadastral work and urban planning is sped-up drastically, decreasing the amount of work necessary to update previous erroneous collected data, providing visual proof of the present-day situation of both land-uses as well as households and buildings, helping rectify long overlooked information in property deeds and local registries.