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Conference Agenda

The conference agenda provides an overview and details of sessions. In order to view sessions on a specific day or for a certain room, please select an appropriate date or room link. You may also select a session to explore available abstracts and download papers and presentations.

Session Overview

Session

10-03: Potential and pitfalls of using drone imagery

Time:

Thursday, 28/Mar/2019:

10:30am - 12:00pm

Session Chair: Tobias Landmann, Remote Sensing Solutions GmbH, Germany

Location: MC 2-800

Presentations

ID: 502 / 10-03: 1
Individual Papers
Topics: New ways of land data capture & analysis (incl. machine learning)
Keywords: drones, SfM, cadastral, landrights

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

Walter Volkmann

MicroAerial Projects LLC, United States of America

10-03-Volkmann-502.docx

ID: 543 / 10-03: 2
Individual Papers
Topics: New ways of land data capture & analysis (incl. machine learning)
Keywords: Drones, land survey, transferable technology, data acquisition, geospatial

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

10-03-Cho-543_paper.pdf

10-03-Cho-543_ppt.pdf

ID: 649 / 10-03: 3
Individual Papers
Topics: Use of remote sensing and land use policy
Keywords: Land administration, UAV, surveying techniques, qualitative data, gamification

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

Claudia Stocker¹, Mila Koeva¹, Jaap Zevenbergen¹, Rohan Bennett^2,3

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

10-03-Stocker-649_paper.pdf

10-03-Stocker-649_ppt.pptx

ID: 557 / 10-03: 4
Individual Papers
Topics: New ways of land data capture & analysis (incl. machine learning)
Keywords: Drone technology, UAV, GIS, collaborative platforms, land management, AI, Deep learning

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

10-03-Cocanu-557_paper.pdf

10-03-Cocanu-557_ppt.pptx

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Conference: 20th Land and Poverty Conference