Soil Density Evaluation Using Solid-State Lidar

Shoemaker, Travis A.; McGuire, Michael P.; Penzone, Steve

doi:10.1061/9780784484067.009

Cited by 3 publications

(2 citation statements)

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“…For example, Refs. [72,101,102,143,149,150,[154][155][156][157]159,161] all adopted the use of various tools in spectral reflectance due to their global coverage, high spatial resolution, long-term monitoring capabilities, non-invasiveness, cost-effectiveness, and the fact that their objectives are to assess soil fertility, moisture, nutrients, texture, and composition where spectral reflectance is found suitable.…”

Section: Advances and Case Studies Of Remote Sensing Technologies App...mentioning

confidence: 99%

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

Abdulraheem,

Zhang,

et al. 2023

Sustainability

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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.

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Section: Advances and Case Studies Of Remote Sensing Technologies App...mentioning

confidence: 99%

“…Research shows that 3D point cloud data can replace the need for drilling test holes and measuring volume in soil density testing [154] Table 4. Cont.…”

Section: Investigating Relationship Between Mechanical Qualities and ...mentioning

confidence: 99%