IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p8486-d1153999.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/8486/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/11/8486/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Przemysław Leń & Klaudia Maciąg & Michał Maciąg & Justyna Wójcik-Leń & Katarzyna Kocur-Bera, 2023. "Automated Processing of Data in the Comparative Estimation of Land Value during Land Consolidation Works," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
    2. Przemysław Leń & Klaudia Maciąg & Michał Maciąg & Justyna Wójcik-Leń & Katarzyna Kocur-Bera, 2023. "Proposed Algorithm for the Optimisation of the Process of Generating the Geometry of Land Use/Soil Valuation Classes for Land Consolidation," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    3. Lili Zhang & Baoqing Hu & Ze Zhang & Gaodou Liang & Simin Huang, 2023. "Comprehensive Evaluation of Ecological-Economic Value of Guangxi Based on Land Consolidation," Land, MDPI, vol. 12(4), pages 1-25, March.
    4. Janus, Jarosław & Ertunç, Ela, 2022. "Towards a full automation of land consolidation projects: Fast land partitioning algorithm using the land value map," Land Use Policy, Elsevier, vol. 120(C).
    5. Pašakarnis, Giedrius & Maliene, Vida & Dixon-Gough, Robert & Malys, Naglis, 2021. "Decision support framework to rank and prioritise the potential land areas for comprehensive land consolidation," Land Use Policy, Elsevier, vol. 100(C).
    6. 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.
    7. Mevlut Uyan & Jarosław Janus & Ela Ertunç, 2023. "Land Use Suitability Model for Grapevine ( Vitis vinifera L.) Cultivation Using the Best Worst Method: A Case Study from Ankara/Türkiye," Agriculture, MDPI, vol. 13(9), pages 1-20, August.
    8. Grzegorz Oleniacz, 2021. "Czekanowski’s Diagram and Spatial Data Cluster Analysis for Planning Sustainable Development of Rural Areas," Sustainability, MDPI, vol. 13(20), pages 1-13, October.
    9. Wang, Ge & Li, Xiaoqiu & Gao, Yingjie & Zeng, Chen & Wang, Bingkun & Li, Xiangyu & Li, Xintong, 2023. "How does land consolidation drive rural industrial development? Qualitative and quantitative analysis of 32 land consolidation cases in China," Land Use Policy, Elsevier, vol. 130(C).
    10. Ela Ertunç, 2023. "The Effect of Land Consolidation Projects on Carbon Footprint," Land, MDPI, vol. 12(2), pages 1-17, February.
    11. Ertunç, Ela & Uyan, Mevlut, 2022. "Land valuation with Best Worst Method in land consolidation projects," Land Use Policy, Elsevier, vol. 122(C).
    12. Álvarez, Inmaculada C. & Orea, Luis & Perez-Mendez, Jose A., 2019. "Rural and agricultural development by land consolidation: a spatial production analysis of Asturias´ parishes," Efficiency Series Papers 2019/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. 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.
    14. Orea, Luis & José A. Pérez-Méndez & Álvarez, Inmaculada C., 2021. "Does land consolidation promote livestock production and combat rural depopulation? A multi-cohort multi-treatment Difference-in-Difference analysis of parishes in northern Spain," Efficiency Series Papers 2021/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    15. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
    16. Tezcan, Ahmet & Büyüktaş, Kenan & Akkaya Aslan, Şerife Tülin, 2020. "A multi-criteria model for land valuation in the land consolidation," Land Use Policy, Elsevier, vol. 95(C).
    17. Minjuan Lv & Zhiting Chen & Lingling Yao & Xiaohu Dang & Peng Li & Xiaoshu Cao, 2022. "Potential Zoning of Construction Land Consolidation in the Loess Plateau Based on the Evolution of Human–Land Relationship," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    18. Daniel Constantin Diaconu & Paschalis D. Koutalakis & Georgios T. Gkiatas & Gabriel Vasile Dascalu & George N. Zaimes, 2023. "River Sand and Gravel Mining Monitoring Using Remote Sensing and UAVs," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    19. Jiyun Li & Yong Zhou & Qing Li & Siqi Yi & Lina Peng, 2022. "Exploring the Effects of Land Use Changes on the Landscape Pattern and Soil Erosion of Western Hubei Province from 2000 to 2020," IJERPH, MDPI, vol. 19(3), pages 1-27, January.
    20. Bahar, Sevgi Kesici & Kirmikil, Müge, 2021. "The evaluation of agricultural landowner inputs before and after land consolidation: The Kesik Village example," Land Use Policy, Elsevier, vol. 109(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8486-:d:1153999. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.