IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i4p517-d1375453.html
   My bibliography  Save this article

Estimating the Soil Copper Content of Urban Land in a Megacity Using Piecewise Spectral Pretreatment

Author

Listed:
  • Yi Liu

    (School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Tiezhu Shi

    (State Key Laboratory of Subtropical Building and Urban Science & Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities & MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen 518060, China)

  • Zeying Lan

    (School of Management, Guangdong University of Technology, Guangzhou 510520, China)

  • Kai Guo

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Dachang Zhuang

    (School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Xiangyang Zhang

    (School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Xiaojin Liang

    (Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510030, China)

  • Tianqi Qiu

    (Guangzhou Urban Planning & Design Survey Research Institute Co., Ltd., Guangzhou 510030, China)

  • Shengfei Zhang

    (School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Yiyun Chen

    (School of Resource and Environmental Science & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China)

Abstract

Heavy mental contamination in urban land is a serious environmental issue for large cities. Visible and near-infrared spectroscopy has been rapidly developed as a new method for estimating copper (Cu) levels, which is one of the heavy metals. Spectral pretreatment is essential for reducing noise and enhancing analysis. In the traditional method, the entire spectrum is uniformly pretreated. However, in reality, the influence of pretreatment on the spectrum may vary depending on the wavelengths. Limited research has been conducted on breaking down the entire spectrum into distinct parts for individualized pretreatment, an innovative method called piecewise pretreatment. This study gathered 250 topsoil samples (0–20 cm) in Shenzhen City, southwest China, and obtained their vis-NIR spectra (350–2500 nm) in the laboratory. This study divided the spectrum into three parts, each processed by six commonly used spectral pretreatments. The number of pretreated parts varied from 1 to 3, resulting in 342 PLSR models being built. Compared to the traditional method, piecewise pretreatment showed an increase in mean residual predictive deviation (RPD) from 1.55 to 1.71 and an increase in the percentage of positive outcomes in ∆RPD from 33.33% to 55.56%. Thus, we concluded that piecewise pretreatment generally outperforms the traditional method. Furthermore, piecewise pretreatment aims to choose the most effective pretreatment method for each part to optimize the Cu estimation model.

Suggested Citation

  • Yi Liu & Tiezhu Shi & Zeying Lan & Kai Guo & Dachang Zhuang & Xiangyang Zhang & Xiaojin Liang & Tianqi Qiu & Shengfei Zhang & Yiyun Chen, 2024. "Estimating the Soil Copper Content of Urban Land in a Megacity Using Piecewise Spectral Pretreatment," Land, MDPI, vol. 13(4), pages 1-21, April.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:517-:d:1375453
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/4/517/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/4/517/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Asa Gholizadeh & Luboš Borůvka & Mohammad Mehdi Saberioon & Josef Kozák & Radim Vašát & Karel Němeček, 2015. "Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 10(4), pages 218-227.
    2. Raj Echambadi & James D. Hess, 2007. "Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models," Marketing Science, INFORMS, vol. 26(3), pages 438-445, 05-06.
    3. Kathryn Elmer & Raymond J. Soffer & J. Pablo Arroyo-Mora & Margaret Kalacska, 2020. "ASDToolkit: A Novel MATLAB Processing Toolbox for ASD Field Spectroscopy Data," Data, MDPI, vol. 5(4), pages 1-15, October.
    Full references (including those not matched with items on IDEAS)

    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. Schilling, Melissa A. & Green, Elad, 2011. "Recombinant search and breakthrough idea generation: An analysis of high impact papers in the social sciences," Research Policy, Elsevier, vol. 40(10), pages 1321-1331.
    2. Thaddeus Neururer & George Papadakis & Edward J. Riedl, 2016. "Tests of investor learning models using earnings innovations and implied volatilities," Review of Accounting Studies, Springer, vol. 21(2), pages 400-437, June.
    3. Alex Eapen & Rekha Krishnan, 2019. "Transferring Tacit Know-How: Do Opportunism Safeguards Matter for Firm Boundary Decisions?," Organization Science, INFORMS, vol. 30(4), pages 715-734, July.
    4. Marina Anna Schmitz & Fabian Jintae Froese & Anna Katharina Bader, 2018. "Organizational cynicism in multinational corporations in China," Asia Pacific Business Review, Taylor & Francis Journals, vol. 24(5), pages 620-637, October.
    5. Moumen, Néjia & Ben Othman, Hakim & Hussainey, Khaled, 2015. "The value relevance of risk disclosure in annual reports: Evidence from MENA emerging markets," Research in International Business and Finance, Elsevier, vol. 34(C), pages 177-204.
    6. Vivian Zheng, Xu & Jenny Ji, Li & Su, Chenting, 2020. "Mitigating the Negative Effects of Regional Clustering in Franchising: The Roles of Governance Mechanisms," Journal of Retailing, Elsevier, vol. 96(3), pages 434-444.
    7. Lenka Demková & Tomáš Jezný & Lenka Bobuľská, 2017. "Assessment of soil heavy metal pollution in a former mining area - before and after the end of mining activities," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 12(4), pages 229-236.
    8. Wang, I. Kim & Seidle, Russell, 2017. "The degree of technological innovation: A demand heterogeneity perspective," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 166-177.
    9. Adomako, Samuel & Amankwah-Amoah, Joseph & Chu, Irene, 2020. "Entrepreneurs’ passion, home country’s institutional voids and small firm internationalization," Research in International Business and Finance, Elsevier, vol. 53(C).
    10. Nicolas A. Zacharias & Ruth Maria Stock & Subin Im, 2017. "Strategic Givens In New Product Development: Understanding Curvilinear Effects On New Product Performance," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-31, January.
    11. Homburg, Christian & Kuehnl, Christina, 2014. "Is the more always better? A comparative study of internal and external integration practices in new product and new service development," Journal of Business Research, Elsevier, vol. 67(7), pages 1360-1367.
    12. Haas, Alexander & Kenning, Peter, 2014. "Utilitarian and Hedonic Motivators of Shoppers’ Decision to Consult with Salespeople," Journal of Retailing, Elsevier, vol. 90(3), pages 428-441.
    13. Weichieh Su & Cheng-Yu Lee, 2013. "Effects of corporate governance on risk taking in Taiwanese family firms during institutional reform," Asia Pacific Journal of Management, Springer, vol. 30(3), pages 809-828, September.
    14. Michael Duncan, 2011. "The Synergistic Influence of Light Rail Stations and Zoning on Home Prices," Environment and Planning A, , vol. 43(9), pages 2125-2142, September.
    15. Cilence Munghemezulu & Zinhle Mashaba-Munghemezulu & Phathutshedzo Eugene Ratshiedana & Eric Economon & George Chirima & Sipho Sibanda, 2023. "Unmanned Aerial Vehicle (UAV) and Spectral Datasets in South Africa for Precision Agriculture," Data, MDPI, vol. 8(6), pages 1-14, May.
    16. Brandon A. Mueller & Dean A. Shepherd, 2016. "Making the Most of Failure Experiences: Exploring the Relationship between Business Failure and the Identification of Business Opportunities," Entrepreneurship Theory and Practice, , vol. 40(3), pages 457-487, May.
    17. Wang, I. Kim & Qian, Lihong & Lehrer, Mark, 2017. "From technology race to technology marathon: A behavioral explanation of technology advancement," European Management Journal, Elsevier, vol. 35(2), pages 187-197.
    18. Nadia Hanif & Abida Hafeez & Noman Arshed, 2022. "Formal Institutional Distance and cross-border M&A-Contract Ineffectiveness: Moderating Role of Advisory Organizations," iRASD Journal of Management, International Research Alliance for Sustainable Development (iRASD), vol. 4(1), pages 1-16, March.
    19. Kedia, Ben L. & Bilgili, Tsvetomira V., 2015. "When history matters: The effect of historical ties on the relationship between institutional distance and shares acquired," International Business Review, Elsevier, vol. 24(6), pages 921-934.
    20. Bachmann, Jan-Thomas & Engelen, Andreas & Schwens, Christian, 2016. "Toward a Better Understanding of the Association Between Strategic Planning and Entrepreneurial Orientation — The Moderating Role of National Culture," Journal of International Management, Elsevier, vol. 22(4), pages 297-315.

    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:jlands:v:13:y:2024:i:4:p:517-:d:1375453. 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.