Abstract
| Original language | English |
|---|---|
| Pages | 1 |
| Number of pages | 17 |
| Publication status | Published - 2019 |
| Event | 20th Annual World Bank Conference on Land and Poverty 2019: Catalyzing Innovation - Washington DC, United States Duration: 25 Mar 2019 → 29 Mar 2019 https://www.conftool.com/landandpoverty2019/sessions.php |
Conference
| Conference | 20th Annual World Bank Conference on Land and Poverty 2019: Catalyzing Innovation |
|---|---|
| Country | United States |
| City | Washington DC |
| Period | 25/03/19 → 29/03/19 |
| Internet address |
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Keywords
- Land administration, UAV, surveying techniques, qualitative data, gamification
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Evaluation of UAV-based technology to capture land rights in Kenya: displaying stakeholder perspectives through interactive gaming. / Stöcker, E.C.; Koeva, M.N.; Zevenbergen, J.A.; Bennett, R.M.
2019. 1 Paper presented at 20th Annual World Bank Conference on Land and Poverty 2019: Catalyzing Innovation, Washington DC, United States.Research output: Contribution to conference › Paper › Academic
TY - CONF
T1 - Evaluation of UAV-based technology to capture land rights in Kenya: displaying stakeholder perspectives through interactive gaming
AU - Stöcker, E.C.
AU - Koeva, M.N.
AU - Zevenbergen, J.A.
AU - Bennett, R.M.
PY - 2019
Y1 - 2019
N2 - 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 workshop approach. Key stakeholders are asked to rank four different means of data acquisition, namely satellite images, aerial images, UAV images, and ground surveying according to six predefined parameters. The results of the board game visually unveiled opportunities and drawbacks of each data acquisition technology from the perspective of the stakeholder while the group discussion provided valuable insights into existing workflows and different perceptions. Results reveal that on average, UAV-based images have the potential to compete with the currently most prevalent data collection technology - field surveying - as UAV-based images mostly ranked similar, except in terms of time efficiency (UAV images outperform field surveying) and accuracy (field surveying outperforms UAV images).
AB - 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 workshop approach. Key stakeholders are asked to rank four different means of data acquisition, namely satellite images, aerial images, UAV images, and ground surveying according to six predefined parameters. The results of the board game visually unveiled opportunities and drawbacks of each data acquisition technology from the perspective of the stakeholder while the group discussion provided valuable insights into existing workflows and different perceptions. Results reveal that on average, UAV-based images have the potential to compete with the currently most prevalent data collection technology - field surveying - as UAV-based images mostly ranked similar, except in terms of time efficiency (UAV images outperform field surveying) and accuracy (field surveying outperforms UAV images).
KW - Land administration, UAV, surveying techniques, qualitative data, gamification
UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2019/conf/stocker_eva.pdf
M3 - Paper
SP - 1
ER -