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Design of an Automated Algorithm for Delimiting Land Use/Soil Valuation Classes as a Tool Supporting Data Processing in the Land Consolidation Procedure

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  • Przemysław Leń

    (Faculty of Environmental Engineering and Geodesy, University of Life Sciences in Lublin, 20-950 Lublin, Poland)

  • Michał Maciąg

    (Faculty of Environmental Engineering and Geodesy, University of Life Sciences in Lublin, 20-950 Lublin, Poland)

  • Klaudia Maciąg

    (Faculty of Environmental Engineering and Geodesy, University of Life Sciences in Lublin, 20-950 Lublin, Poland)

Abstract

The consolidation of land to improve the agrarian structure and provide for sustainable rural development is a complex and multi-faceted process, and its efficiency depends on a considerable number of factors associated with its respective stages of desk studies and fieldwork. In order to ensure the highest-quality concepts and their efficient implementation, various measures are undertaken to improve, among other things, the methods for acquiring, collecting, and processing spatial data representing elements of reality saved in cadastral databases. There are a wide variety of available solutions oriented towards land consolidation improvement, but most of them refer to modifications that are difficult to implement due to, for instance, high costs, high technical requirements, and the absence of relevant legal regulations. Our study aimed to find a practical and applicable solution to a material problem in terms of land consolidation projects in Poland, a task associated with the necessity of converting cadastral database objects so that they were suitable for appraising the value of land, and designing new farmsteads based on the value of land held by particular participants of the land consolidation project. It involved the development and implementation of a self-designed algorithm for automated processing of auxiliary land-use/soil-valuation class objects into separate classes representing soil class contours and land use contours, in compliance with the current regulations governing the structure of the cadastre in Poland. The work resulted in the development of an innovative tool, making it possible, among other functions, to align object-generating methods as preferred by the administrator of the cadastral database. The designed algorithm model reduces data processing time to several seconds, while simultaneously eliminating the risk of error. The tool was thoroughly evaluated and then implemented at the Subcarpathian Office of Land Surveying and Agricultural Areas in Rzeszów, which is in charge of land consolidation projects in south-eastern Poland.

Suggested Citation

  • Przemysław Leń & Michał Maciąg & Klaudia Maciąg, 2023. "Design of an Automated Algorithm for Delimiting Land Use/Soil Valuation Classes as a Tool Supporting Data Processing in the Land Consolidation Procedure," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8486-:d:1153999
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    References listed on IDEAS

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    1. Ertunç, Ela & Uyan, Mevlut, 2022. "Land valuation with Best Worst Method in land consolidation projects," Land Use Policy, Elsevier, vol. 122(C).
    2. Munnangi, Aswani Kumar & Lohani, Bharat & Misra, Subhas Chandra, 2020. "A review of land consolidation in the state of Uttar Pradesh, India: Qualitative approach," Land Use Policy, Elsevier, vol. 90(C).
    3. Du, Xindong & Zhang, Xiaoke & Jin, Xiaobin, 2018. "Assessing the effectiveness of land consolidation for improving agricultural productivity in China," Land Use Policy, Elsevier, vol. 70(C), pages 360-367.
    4. Ela Ertunç & Zlatica Muchová & Hrvoje Tomić & Jaroslaw Janus, 2022. "Legal, Procedural and Social Aspects of Land Valuation in Land Consolidation: A Comparative Study for Selected Central and Eastern Europe Countries and Turkey," Land, MDPI, vol. 11(5), pages 1-22, April.
    5. Pengnan Xiao & Chong Zhao & Yong Zhou & Haoyu Feng & Xigui Li & Jinhui Jiang, 2021. "Study on Land Consolidation Zoning in Hubei Province Based on the Coupling of Neural Network and Cluster Analysis," Land, MDPI, vol. 10(7), pages 1-16, July.
    6. Wójcik - Leń, Justyna & Postek, Paweł & Stręk, Żanna & Leń, Przemysław, 2020. "Proposed algorithm for the identification of land for consolidation with regard to spatial variability of soil quality," Land Use Policy, Elsevier, vol. 94(C).
    7. Wei Xia & Gangqiao Yang, 2022. "Decision-Making Evaluation of the Pilot Project of Comprehensive Land Consolidation from the Perspective of Farmers and Social Investors: A Case Study of the Project Applied in Xianning City, Hubei Pr," Land, MDPI, vol. 11(9), pages 1-20, September.
    8. Paweł Postek & Justyna Wójcik-Leń & Przemysław Leń & Żanna Stręk, 2022. "Identifying Villages for Land Consolidation: A New Agricultural Land Erosion Indicator," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    9. Bingjun Li & Yifan Zhang & Shuhua Zhang & Wenyan Li & Filippo Cacace, 2021. "Prediction of Grain Yield in Henan Province Based on Grey BP Neural Network Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-13, August.
    10. Demetriou, Demetris, 2018. "Automating the land valuation process carried out in land consolidation schemes," Land Use Policy, Elsevier, vol. 75(C), pages 21-32.
    11. Agnieszka Cienciała & Szymon Sobura & Katarzyna Sobolewska-Mikulska, 2022. "Optimising Land Consolidation by Implementing UAV Technology," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
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    1. Michał Maciąg & Klaudia Maciąg & Przemysław Leń, 2024. "Algorithm for Evaluating the Difficulty of Land Consolidation Using Cadastral Data," Sustainability, MDPI, vol. 16(13), pages 1-24, July.

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