IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15444-d1270726.html
   My bibliography  Save this article

Advancement of Remote Sensing for Soil Measurements and Applications: A Comprehensive Review

Author

Listed:
  • Mukhtar Iderawumi Abdulraheem

    (Department of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
    Henan International Joint Laboratory of Laser Technology in Agriculture Science, Zhengzhou 450002, China
    State Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, China)

  • Wei Zhang

    (Department of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
    Henan International Joint Laboratory of Laser Technology in Agriculture Science, Zhengzhou 450002, China
    State Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, China)

  • Shixin Li

    (Department of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China)

  • Ata Jahangir Moshayedi

    (School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Aitazaz A. Farooque

    (Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada
    Canadian Centre for Climate Change and Adaptation, University of Prince Edward Island, St Peter’s Bay, PE C1A 4P3, Canada)

  • Jiandong Hu

    (Department of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
    Henan International Joint Laboratory of Laser Technology in Agriculture Science, Zhengzhou 450002, China
    State Key Laboratory of Wheat and Maize Crop Science, Zhengzhou 450002, China)

Abstract

Remote sensing (RS) techniques offer advantages over other methods for measuring soil properties, including large-scale coverage, a non-destructive nature, temporal monitoring, multispectral capabilities, and rapid data acquisition. This review highlights the different detection methods, types, parts, and applications of RS techniques in soil measurements, as well as the advantages and disadvantages of the measurements of soil properties. The choice of the methods depends on the specific requirements of the soil measurements task because it is important to consider the advantages and limitations of each method, as well as the specific context and objective of the soil measurements, to determine the most suitable RS technique. This paper follows a well-structured arrangement after investigating the existing literature to ensure a well-organized, coherent review and covers all the essential aspects related to studying the advancement of using RS in the measurements of soil properties. While several remote sensing methods are available, this review suggests spectral reflectance, which entails satellite remote sensing and other tools based on its global coverage, high spatial resolution, long-term monitoring capabilities, non-invasiveness, and cost effectiveness. Conclusively, RS has improved soil property measurements using various methods, but more research is needed for calibration, sensor fusion, artificial intelligence, validation, and machine learning applications to enhance accuracy and applicability.

Suggested Citation

  • Mukhtar Iderawumi Abdulraheem & Wei Zhang & Shixin Li & Ata Jahangir Moshayedi & Aitazaz A. Farooque & Jiandong Hu, 2023. "Advancement of Remote Sensing for Soil Measurements and Applications: A Comprehensive Review," Sustainability, MDPI, vol. 15(21), pages 1-32, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15444-:d:1270726
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15444/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/21/15444/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Qi & Li, Xinyuan & Zhang, Zhengjia & Zhou, Chao & Guo, Zhiling & Liu, Zhengguang & Zhang, Haoran, 2023. "Remote sensing of photovoltaic scenarios: Techniques, applications and future directions," Applied Energy, Elsevier, vol. 333(C).
    2. Keith H Coble & Ashok K Mishra & Shannon Ferrell & Terry Griffin, 2018. "Big Data in Agriculture: A Challenge for the Future," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(1), pages 79-96.
    3. Tobias Ide, 2017. "Research methods for exploring the links between climate change and conflict," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 8(3), May.
    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. Tobias Ide & Miguel Rodriguez Lopez & Christiane Fröhlich & Jürgen Scheffran, 2021. "Pathways to water conflict during drought in the MENA region," Journal of Peace Research, Peace Research Institute Oslo, vol. 58(3), pages 568-582, May.
    2. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Guo, Zhiling & Zhuang, Zhan & Tan, Hongjun & Liu, Zhengguang & Li, Peiran & Lin, Zhengyuan & Shang, Wen-Long & Zhang, Haoran & Yan, Jinyue, 2023. "Accurate and generalizable photovoltaic panel segmentation using deep learning for imbalanced datasets," Renewable Energy, Elsevier, vol. 219(P1).
    4. Dinko, Dinko Hanaan & Kansanga, Moses & Nyantakyi-Frimpong, Hanson & Luginaah, Isaac, 2024. "Unpacking the dynamics of natural resource conflicts: The case of African rosewood," Land Use Policy, Elsevier, vol. 136(C).
    5. Mohammad Amiri-Zarandi & Rozita A. Dara & Emily Duncan & Evan D. G. Fraser, 2022. "Big Data Privacy in Smart Farming: A Review," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    6. Komarek, Adam M. & De Pinto, Alessandro & Smith, Vincent H., 2020. "A review of types of risks in agriculture: What we know and what we need to know," Agricultural Systems, Elsevier, vol. 178(C).
    7. Federica Cappelli & Caterina Conigliani & Davide Consoli & Valeria Costantini & Elena Paglialunga, 2023. "Climate change and armed conflicts in Africa: temporal persistence, non-linear climate impact and geographical spillovers," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(2), pages 517-560, July.
    8. Robert Finger, 2023. "Digital innovations for sustainable and resilient agricultural systems," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(4), pages 1277-1309.
    9. Schroeder, Ted C. & Tonsor, Glynn T. & Coffey, Brian K., 2019. "Commodity futures with thinly traded cash markets: The case of live cattle," Journal of Commodity Markets, Elsevier, vol. 15(C), pages 1-1.
    10. Rim Lassoued & Diego M. Macall & Stuart J. Smyth & Peter W. B. Phillips & Hayley Hesseln, 2021. "Expert Insights on the Impacts of, and Potential for, Agricultural Big Data," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    11. Keith H. Coble, 2020. "Relevant and/or Elegant Economics," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 392-399, March.
    12. Cara Stitzlein & Simon Fielke & François Waldner & Todd Sanderson, 2021. "Reputational Risk Associated with Big Data Research and Development: An Interdisciplinary Perspective," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    13. Oksana Hrynevych & Miguel Blanco Canto & Mercedes Jiménez García, 2022. "Tendencies of Precision Agriculture in Ukraine: Disruptive Smart Farming Tools as Cooperation Drivers," Agriculture, MDPI, vol. 12(5), pages 1-15, May.
    14. Cardoso, Andressa & Jurado-Rodríguez, David & López, Alfonso & Ramos, M. Isabel & Jurado, Juan Manuel, 2024. "Automated detection and tracking of photovoltaic modules from 3D remote sensing data," Applied Energy, Elsevier, vol. 367(C).
    15. Rabhi, Loubna & Jabir, Brahim & Falih, Noureddine & Afraites, Lekbir & Bouikhalene, Belaid, 2023. "A Connected farm Metamodeling Using Advanced Information Technologies for an Agriculture 4.0," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 15(2), June.
    16. Emily Duncan & Alesandros Glaros & Dennis Z. Ross & Eric Nost, 2021. "New but for whom? Discourses of innovation in precision agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(4), pages 1181-1199, December.
    17. Omar Abu Hassim & Ismah Osman & Asmah Awal & Fhaisol Mat Amin, 2024. "Navigating the Path to Equitable and Sustainable Digital Agriculture among Small Farmers in Malaysia: A Comprehensive Review," Information Management and Business Review, AMH International, vol. 16(2), pages 173-188.
    18. Amanda M. Nelson & Nicolas E. Quintana Ashwell & Christopher D. Delhom & Drew M. Gholson, 2022. "Leveraging Big Data to Preserve the Mississippi River Valley Alluvial Aquifer: A Blueprint for the National Center for Alluvial Aquifer Research," Land, MDPI, vol. 11(11), pages 1-17, October.
    19. Damette, Olivier & Goutte, Stéphane, 2023. "Beyond climate and conflict relationships: New evidence from a Copula-based analysis on an historical perspective," Journal of Comparative Economics, Elsevier, vol. 51(1), pages 295-323.
    20. Kumar, Parveen & Hendriks, Tim & Panoutsopoulos, Hercules & Brewster, Christopher, 2024. "Investigating FAIR data principles compliance in horizon 2020 funded Agri-food and rural development multi-actor projects," Agricultural Systems, Elsevier, vol. 214(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:21:p:15444-:d:1270726. 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.