Introduction to Radar Scattering Application in Remote Sensing and Diagnostics: Review

Batool, Sidra; Frezza, Fabrizio; Mangini, Fabio; Simeoni, Patrizio

doi:10.3390/atmos11050517

Cited by 13 publications

(10 citation statements)

References 114 publications

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“…As an active remote sensing tool, radar systems emit the microwave spectrum of the electromagnetic waves to the targets and receive the backscattering energy. The intensity of the reflected energy suggests the reflectivity of the target particles, and the timing (recorded as the phase) relates to the distance between the sensor and the targets (Batool et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Machine‐Learning Estimation of Snow Depth in 2021 Texas Statewide Winter Storm Using SAR Imagery

Wang

et al. 2022

Geophysical Research Letters

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Climate change has been modifying our Earth system with an increasing number of extreme precipitation events, such as droughts, floods, tropical cyclones (hurricanes or typhoons), and winter storms (Stott, 2016). The National Oceanic and Atmospheric Administration (NOAA) reported 308 climate disasters in the U.S. from 1980 to 2021 that cost more than $2 trillion (US dollars) (NOAA, 2021; https://www.ncdc.noaa.gov/billions/). The 2000s witnessed 63 climate events with a loss of $538.7 billion and 3,091 deaths, and the 2010s experienced 123 climate events with a loss of $844.7 billion and 5,224 deaths (NOAA). In the past year of 2021, there have been 20 lethal climate disasters in the U.S. that claimed 688 lives, in which 14 events occurred around the western and southern coasts, including the winter storm Uri in February 2021. Informing the mitigation measures for extreme precipitation events has become an urgent socioeconomic mission.Winter storms are listed as one of the most catastrophic hazards in the U.S., especially to the agriculture, public health, transportation, and critical lifelines (Zhang & Liang, 2021). The mid-and high-latitude areas are more vulnerable to winter storms with high severity and frequency (Vose et al., 2014). Winter storm damage estimations often consider the precipitation distribution, intensity, frequency, wind, temperature, power outage, and death toll (e.g.,

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Section: Introductionmentioning

confidence: 99%

Machine‐Learning Estimation of Snow Depth in 2021 Texas Statewide Winter Storm Using SAR Imagery

Wang

et al. 2022

Geophysical Research Letters

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“…The problem of multiple scattering by closely spaced objects has a wide range of engineering applications, including electromagnetic (EM) wave transmission by rain [1], scattering by complex bodies [2][3][4][5], scanning of buried objects [6,7], biological cell detection [8,9], radar and remote sensing applications in biomedical diagnostics, etc. [10,11]. The resolution of multiple scattering problems by PEC spheres allows an analytic treatment and a better physical interpretation into the scattering mechanism for novel applications [12,13].…”

Section: Introductionmentioning

confidence: 99%

Multiple Scattering by Two PEC Spheres Using Translation Addition Theorem

et al. 2021

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An analysis of multiple scattering by two Perfect Electric Conducting (PEC) spheres using translation Addition Theorem (AT) for spherical vector wave functions is presented. Specifically, the Cruzan formalism is used to represent the AT for spherical harmonics, which introduces the translation coefficients for transformation of spherical harmonics from one coordinate to another. The adoption of these coefficients with the use of two PEC spheres in a near zone region makes the calculation of multiple scattering electric fields very efficient. As an illustration, the mathematical formation using advanced computational approaches was inspected. Then, the generic truncation criteria in the scattered electric field by two PEC spheres was deeply investigated using translation AT. However, the numerical validation was obtained using Comsol simulation software. This approach will allow to evaluate the scattering from macro-structures composed of spherical particles, i.e., biological molecules, clouds of airborne particles, etc. An original and fully general solution to the problem using vector quantities is introduced, and the convergence of the solution in several numerical examples is also demonstrated. This approach takes into account the effect of multiple scattering by two PEC spheres for spherical vector function.

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“…Mueller matrix polarimetric imaging is a very potent approach that is extensively used nowadays in many different areas like biomedical applications [1], materials characterization [2], remote sensing [3,4] etc.. Mueller matrix imaging technique has also tested several clinical applications [5,6,7]. While it is commonly mentioned, how the polarization states are converted from the incident into the reflected light, a Mueller matrix shows some details information of reflected light and structural properties of the materials.…”

Section: Introductionmentioning

confidence: 99%

Mueller matrix polarimetry for differentiating characteristic features of different materials (wood, shinning steel, unpolished plastic)

Batool

Nisar

Mangini

et al. 2021

2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)

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Introduction to Radar Scattering Application in Remote Sensing and Diagnostics: Review

Cited by 13 publications

References 114 publications

Machine‐Learning Estimation of Snow Depth in 2021 Texas Statewide Winter Storm Using SAR Imagery

Machine‐Learning Estimation of Snow Depth in 2021 Texas Statewide Winter Storm Using SAR Imagery

Multiple Scattering by Two PEC Spheres Using Translation Addition Theorem

Mueller matrix polarimetry for differentiating characteristic features of different materials (wood, shinning steel, unpolished plastic)

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