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

Mukhtar Iderawumi Abdulraheem, Wei Zhang, Shixin Li, Ata Jahangir Moshayedi, Aitazaz A. Farooque and Jiandong Hu ()
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Mukhtar Iderawumi Abdulraheem: Department of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Wei Zhang: Department of Electrical Engineering, Henan Agricultural University, 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
Jiandong Hu: Department of Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China

Sustainability, 2023, vol. 15, issue 21, 1-32

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.

Keywords: remote sensing (RS); soil properties and variability; multispectral analysis; satellite sensing; proximal sensing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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