Optical Remote Sensing

Wong, Man Sing; Zhu, Xiaolin; Abbas, Sawaid; Kwok, Coco Yin Tung; Wang, Meilian

doi:10.1007/978-981-15-8983-6_20

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…Utilizing RS is an effective method for evaluating the surface characteristics of the ground from afar. This technique assesses the chemical and physical properties of the soil matrix by measuring the upwelling electromagnetic radiation emitted or reflected from the soil [108]. With the information obtained via RS, we can distinguish differences between soil extrapolate characteristics and the soil surfaces from the radiation observed.…”

Section: Remote Sensing Techniques In Soil Measurementsmentioning

confidence: 99%

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: Remote Sensing Techniques In Soil Measurementsmentioning

confidence: 99%

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

Abdulraheem,

Zhang,

et al. 2023

Sustainability

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“…Optical sensors and photonic devices have recently come to light as intriguing alternatives to conventional analyses’ exorbitant costs and slow speed. Due to their speed, specificity, sensitivity, reusability, ability to permit permanent and unattended operation in the field, and ability to provide the portable analytical instruments and early warning systems that are required [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Environmental Monitoring: A Comprehensive Review on Optical Waveguide and Fiber-Based Sensors

et al. 2022

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Globally, there is active development of photonic sensors incorporating multidisciplinary research. The ultimate objective is to develop small, low-cost, sensitive, selective, quick, durable, remote-controllable sensors that are resistant to electromagnetic interference. Different photonic sensor designs and advances in photonic frameworks have shown the possibility to realize these capabilities. In this review paper, the latest developments in the field of optical waveguide and fiber-based sensors which can serve for environmental monitoring are discussed. Several important topics such as toxic gas, water quality, indoor environment, and natural disaster monitoring are reviewed.

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“…In optical RS, the visible near-infrared spectrum (VNIR) and short-wave infrared (SWIR) are often used to record information about the state and dynamics of vegetation. This information is acquired by the sensors that are implemented, making it possible for multispectral and hyperspectral imaging [8]. Each of these images has different spatial, spectral, and temporal resolutions.…”

Section: Introductionmentioning

confidence: 99%

A Review of Hybrid Approaches for Quantitative Assessment of Crop Traits Using Optical Remote Sensing: Research Trends and Future Directions

Abdelbaki

Udelhoven

2022

Remote Sensing

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Remote sensing technology allows to provide information about biochemical and biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems. Among multiple retrieval techniques, hybrid approaches have been found to provide outstanding accuracy, for instance, for the inference of leaf area index (LAI), fractional vegetation cover (fCover), and leaf and canopy chlorophyll content (LCC and CCC). The combination of radiative transfer models (RTMs) and data-driven models creates an advantage in the use of hybrid methods. Through this review paper, we aim to provide state-of-the-art hybrid retrieval schemes and theoretical frameworks. To achieve this, we reviewed and systematically analyzed publications over the past 22 years. We identified two hybrid-based parametric and hybrid-based nonparametric regression models and evaluated their performance for each variable of interest. From the results of our extensive literature survey, most research directions are now moving towards combining RTM and machine learning (ML) methods in a symbiotic manner. In particular, the development of ML will open up new ways to integrate innovative approaches such as integrating shallow or deep neural networks with RTM using remote sensing data to reduce errors in crop trait estimations and improve control of crop growth conditions in very large areas serving precision agriculture applications.

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Optical Remote Sensing

Cited by 7 publications

References 35 publications

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

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

Environmental Monitoring: A Comprehensive Review on Optical Waveguide and Fiber-Based Sensors

A Review of Hybrid Approaches for Quantitative Assessment of Crop Traits Using Optical Remote Sensing: Research Trends and Future Directions

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