Search Results - "Kun-Shan Chen"

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  1. 1

    A Physically Based Soil Moisture Index From Passive Microwave Brightness Temperatures for Soil Moisture Variation Monitoring by Zeng, Jiangyuan, Chen, Kun-Shan, Cui, Chenyang, Bai, Xiaojing

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.04.2020
    “…Soil moisture is a pivotal hydrological variable that links the terrestrial water, energy, and carbon cycles. In this article, a new soil moisture (SM) index…”
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    Journal Article
  2. 2

    A Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product Over United States and Europe Using Ground-Based Measurements by Zeng, Jiangyuan, Chen, Kun-Shan, Bi, Haiyun, Chen, Quan

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.08.2016
    “…The Soil Moisture Active Passive (SMAP) mission, which is the newest L-band satellite that is specifically designed for soil moisture monitoring, was launched…”
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  3. 3

    Spatial Representativeness of Soil Moisture Stations and Its Influential Factors at a Global Scale by Peng, Chenchen, Zeng, Jiangyuan, Chen, Kun-Shan, Ma, Hongliang, Letu, Husi, Zhang, Xiang, Shi, Pengfei, Bi, Haiyun

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2025
    “…The spatial representativeness error of in situ soil moisture (SM) is recognized as a major source of uncertainty when validating satellite SM products with a…”
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  4. 4

    Assessment and Error Analysis of Satellite Soil Moisture Products Over the Third Pole by Zeng, Jiangyuan, Shi, Pengfei, Chen, Kun-Shan, Ma, Hongliang, Bi, Haiyun, Cui, Chenyang

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2022
    “…The Tibetan Plateau, known as the "Third Pole" of the world, is extremely sensitive to global climate change. Reliable soil moisture information is essential…”
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  5. 5

    On the MCF Model for Predicting Radar Ocean Backscatter by Guo, Mingde, Chen, Kun-Shan, Yang, Ying, Yin, Xiaobin

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2024
    “…This article employs the modulated correlation function (MCF) model to describe the ocean surface in radar backscattering. Surface correlation functions…”
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  6. 6

    Global-Scale Assessment of Multiple Recently Developed/Reprocessed Remotely Sensed Soil Moisture Datasets by Wang, Panshan, Zeng, Jiangyuan, Chen, Kun-Shan, Ma, Hongliang, Zhang, Xiang, Shi, Pengfei, Peng, Chenchen, Bi, Haiyun

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2024
    “…The comprehensive and robust assessment of diverse global-scale satellite-based soil moisture (SM) products from various satellite data sources (e.g.,…”
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  7. 7

    Radar Backscattering Over Sea Surface Oil Emulsions: Simulation and Observation by Meng, Tingyu, Yang, Xiaofeng, Chen, Kun-Shan, Nunziata, Ferdinando, Xie, Dengfeng, Buono, Andrea

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2022
    “…Oils floating on the sea surface can be observed as "dark" patches on radar images since the backscattered signals from the contaminated area are reduced in…”
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  8. 8

    Spatiotemporal Variation of Imaging Swath in Earth Observing Lunar-Based SAR under Orbital Perturbations by Xu, Zhen, Chen, Kun-Shan, Liu, Xiu, Guo, Huadong

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.01.2024
    “…We analyzed the spatiotemporal variations of the imaging swath and region using the Lunar-Based Synthetic Aperture Radar (LBSAR) for Earth observation. The…”
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  9. 9

    Effects of Wind Wave Spectra on Radar Backscatter From Sea Surface at Different Microwave Bands: A Numerical Study by Xie, Dengfeng, Chen, Kun-Shan, Yang, Xiaofeng

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.09.2019
    “…Wind wave spectrum describes the quasi-periodic nature of the ocean surface oscillations and plays an indispensable role in the study of microwave…”
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  10. 10

    Angular Patterns of Bistatic Scattering from Gamma-Distributed Rough Surfaces by Yang, Ying, Chen, Kun-Shan

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.01.2024
    “…We analyze the bistatic scattering of a gamma-distributed rough surface to explore the scattering properties in the context of polar angular patterns and…”
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  11. 11

    Surface Parameter Bias Disturbance in Radar Backscattering From Bare Soil Surfaces by Wang, Zhihua, Yang, Ying, Zeng, Jiangyuan, Chen, Kun-Shan

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2024
    “…Surface parameters (roughness and soil permittivity) are crucial for characterizing backscattering from bare soil. However, the estimation of roughness…”
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  12. 12

    Soil Moisture Retrieval From SMAP: A Validation and Error Analysis Study Using Ground-Based Observations Over the Little Washita Watershed by Chen, Quan, Zeng, Jiangyuan, Cui, Chenyang, Li, Zhen, Chen, Kun-Shan, Bai, Xiaojing, Xu, Jia

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.03.2018
    “…The newest soil moisture-dedicated satellite, the Soil Moisture Active Passive (SMAP) mission, provides global maps of soil moisture using concurrent L-band…”
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  13. 13

    Scattering Model-Based Oil-Slick-Related Parameters Estimation From Radar Remote Sensing: Feasibility and Simulation Results by Meng, Tingyu, Nunziata, Ferdinando, Yang, Xiaofeng, Buono, Andrea, Chen, Kun-Shan, Migliaccio, Maurizio

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2024
    “…In this study, the potential of electromagnetic scattering models to retrieve quantitative parameters of sea oil spills is investigated using an artificial…”
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  14. 14

    On the Relationship Between Radar Backscatter and Radiometer Brightness Temperature From SMAP by Zeng, Jiangyuan, Shi, Pengfei, Chen, Kun-Shan, Ma, Hongliang, Bi, Haiyun, Cui, Chenyang

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2022
    “…The synergy of active and passive microwave measurements has attracted considerable attention in recent years since they offer complementary information on the…”
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  15. 15

    Effective Surface Roughness in Radar Ocean Backscattering by Guo, Mingde, Chen, Kun-Shan, Yang, Ying, Xu, Zhen

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.01.2023
    “…In this paper, we proposed a modulated correlation function to characterize the multiscale property of the sea surface and adopted it in the AIEM (Advanced…”
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  16. 16

    Effects of the Earth's Curvature and Lunar Revolution on the Imaging Performance of the Moon-Based Synthetic Aperture Radar by Xu, Zhen, Chen, Kun-Shan

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.08.2019
    “…In this paper, effects of the earth's curvature and lunar revolution on the performance of the moon-based synthetic aperture radar (SAR) are examined by a…”
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  17. 17

    On Azimuthal Resolution of the Lunar-Based SAR Under the Orbital Perturbation Effects by Xu, Zhen, Chen, Kun-Shan, Guo, Huadong

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2023
    “…This article studies the orbital perturbation effects on the azimuthal resolution in lunar-based synthetic aperture radar (LBSAR). We derive explicit…”
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  18. 18

    Radar Scattering From a Modulated Rough Surface: Simulations and Applications by Yang, Ying, Chen, Kun-Shan, Ren, Chao

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.12.2021
    “…This article presents a numerical study of the wave scattering from a modulated rough surface characterized by a modulated correlation function that shows zero…”
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  19. 19

    Simulation and Analysis of Bistatic Radar Scattering From Oil-Covered Sea Surface by Meng, Tingyu, Chen, Kun-Shan, Yang, Xiaofeng, Nunziata, Ferdinando, Xie, Dengfeng, Buono, Andrea

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2022
    “…In this study, the bistatic radar scattering coefficients related to an oil-covered sea surface are predicted by modeling both the oil damping effect on…”
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  20. 20

    A Comprehensive Analysis of Rough Soil Surface Scattering and Emission Predicted by AIEM With Comparison to Numerical Simulations and Experimental Measurements by Zeng, Jiangyuan, Chen, Kun-Shan, Bi, Haiyun, Zhao, Tianjie, Yang, Xiaofeng

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.03.2017
    “…Theoretical modeling plays a significant role as forward and inverse problem in active and passive microwave remote sensing. Understanding the validity and…”
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