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Embedding (Semi-) automatic cadastral boundary extraction into fit-for-purpose land administration in peri-urban ethiopia

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  • Metaferia, Mekonnen Tesfaye
  • Bennett, Rohan Mark
  • Alemie, Berhanu Kefale
  • Koeva, Mila
  • Donovan, Jerome

Abstract

The creation and upkeep of cadastral data is essential for maintaining land and resources and advancing sustainable development. However, developing nations face land use challenges in peri-urban areas due to the fast-paced increase in population and rapid urbanization. Moreover, conventional cadastral surveying methods are neither time nor cost-effective. Automatic feature extraction (AFE) is an emerging alternative to conventional field surveying methods, which can help land sector professionals adhere to the principles of fit-for-purpose land administration (FFPLA). The study aims to test and subsequently affirm the potential of the AFE approach using open-source tools for cadastral mapping in peri-urban areas. It adopts a generalized pre-exiting AFE workflow, utilizing free and open-source tools for the complete solution, including image segmentation, boundary classification, interactive delineation, and validation. High-resolution satellite images and a reference cadastral dataset are used for the pilot. The case location is a peri-urban area in Dukem, with source material obtained from the United States Agency for International Development (USAID) Land Governance Activity (LGA) Ethiopia branch. The LGA experts actively participated in the pilot testing through demonstrations, hands-on practice, focus group discussions, and questionnaire data collection. The pilot testing demonstrate that interactively delineated cadastral parcel boundaries delivered 66 % correctness for buffer widths of 0.5 and 0.4 m for the reference and interactively extracted boundary lines, respectively. The implemented AFE approach was further evaluated against the FFPLA elements and found to meet the affordability, attainability, flexibility, and upgradeability requirements. The strengths, weaknesses, opportunities, and threats (SWOT) analysis indicated favorable strengths and opportunities with manageable weaknesses and threats. The approach is supposed to be applicable for cadastral mapping and updating in peri-urban areas and newly emerging towns across the country due to rapid urbanization. Nonetheless, comparisons against conventional non-AFE methods, such as GNSS or total station surveys, in terms of time and cost implications are still needed. Moreover, further enhancement and testing with different land administration settings are recommended to apply the approach to real-world scenarios such as the LGA cadastral mapping project.

Suggested Citation

  • Metaferia, Mekonnen Tesfaye & Bennett, Rohan Mark & Alemie, Berhanu Kefale & Koeva, Mila & Donovan, Jerome, 2025. "Embedding (Semi-) automatic cadastral boundary extraction into fit-for-purpose land administration in peri-urban ethiopia," Land Use Policy, Elsevier, vol. 150(C).
    • Handle: RePEc:eee:lauspo:v:150:y:2025:i:c:s026483772400406x
    DOI: 10.1016/j.landusepol.2024.107453
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    References listed on IDEAS

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    1. Pauliina Krigsholm & Kirsikka Riekkinen & Pirjo Ståhle, 2018. "The Changing Uses of Cadastral Information: A User-Driven Case Study," Land, MDPI, vol. 7(3), pages 1-14, July.
    2. Mila Koeva & Mohammed Imaduddin Humayun & Christian Timm & Claudia Stöcker & Sophie Crommelinck & Malumbo Chipofya & Rohan Bennett & Jaap Zevenbergen, 2021. "Geospatial Tool and Geocloud Platform Innovations: A Fit-for-Purpose Land Administration Assessment," Land, MDPI, vol. 10(6), pages 1-23, May.
    3. Metaferia, Mekonnen Tesfaye & Bennett, Rohan Mark & Alemie, Berhanu Kefale & Koeva, Mila, 2023. "The peri-urban cadastre of Addis Ababa: Status, challenges, and fit-for-purpose prospects," Land Use Policy, Elsevier, vol. 125(C).
    4. Prince Donkor Ameyaw & Walter Timo de Vries, 2021. "Toward Smart Land Management: Land Acquisition and the Associated Challenges in Ghana. A Look into a Blockchain Digital Land Registry for Prospects," Land, MDPI, vol. 10(3), pages 1-22, March.
    5. Mekonnen Tesfaye Metaferia & Rohan Mark Bennett & Berhanu Kefale Alemie & Mila Koeva, 2022. "Fit-for-Purpose Land Administration and the Framework for Effective Land Administration: Synthesis of Contemporary Experiences," Land, MDPI, vol. 12(1), pages 1-25, December.
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