Glacier surface melt monitoring using Sentinel-1 SAR backscattering coefficient and polarimetric decomposition features at Greenland ice sheet by Huimin Jiao, Gang Li, Zhuoqi Chen, Xiao Cheng

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Integrating Remote Sensing and Proximal Sensors for the Detection of Soil Moisture and Salinity Variability in Coastal Areas by Yan GUO, Zhou SHI, Lian-qing ZHOU, Xi JIN, Yan-feng TIAN, Hong-fen TENG

“…Soil moisture closely correlates radar scattering coefficient, and a simplified inversion model was built based on a backscattering coefficient extracted from multi-polarization data of ALOS/PALSAR and in situ soil moisture measured by a time domain reflectometer to detect soil moisture variations. …”
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A Monte Carlo simulation of gamma-ray backscattering from concrete shields coated with nanoparticle layers by Arian Nikrah, Payvand Taherparvar, Alireza Sadremomtaz

“…Although the scattering characteristics of nanocomposite shielding materials have been widely investigated, their backscattering behavior remains unexplored in scientific studies. …”
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Application of laser light backscattering for qualitative and quantitative assessment of dilution of clear and cloudy apple juices by Hoa Xuan Mac, Nga Thi Thanh Ha, László Friedrich, Lien Le Phuong Nguyen, László Baranyai

“…This study investigated the potential of laser light backscattering imaging (LLBI) for detecting water addition in apple juices. …”
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Transmit Power-Efficient Beamforming Design for Integrated Sensing and Backscatter Communication by Shayan Zargari, Diluka Galappaththige, Chintha Tellambura

“…The BS simultaneously detects backscatter tags and communicates with the user using the same time and frequency resources. …”
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Integration of Optical and Microwave Satellite Data for Monitoring Vegetation Status in Sorghum Fields by Simone Pilia, Giacomo Fontanelli, Leonardo Santurri, Enrico Palchetti, Giuliano Ramat, Fabrizio Baroni, Emanuele Santi, Alessandro Lapini, Simone Pettinato, Simonetta Paloscia

“…Experimental data and electromagnetic models have been combined to relate backscattering from S-1 and optical indices from S-2 to plant conditions, which were evaluated by measuring PRI, plant water content (PWC), and soil water content. …”
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High SNR Φ-OTDR Based on Frequency and Wavelength Diversity With Differential Vector Aggregation Method by Jinfeng Gu, Bin Lu, Junqi Yang, Zhaoyong Wang, Lei Ye, Qing Ye, Ronghui Qu, Haiwen Cai

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Quantitative evaluation of dislocation density in SUS316L utilizing non-contact microwave reflection method by Guodong WANG, Shaojie GU, Yasuhiro KIMURA, Yuhki TOKU, Yang JU

“…By establishing a linear correlation, we demonstrate the feasibility of evaluating dislocation density with a minimum detectable difference of 1.824 × 1013 m-2 using the dedicated microwave system under the designed conditions in this study. …”
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Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence by B. Gast, C. Jimenez, A. Ansmann, M. Haarig, R. Engelmann, F. Fritzsch, A. A. Floutsi, H. Griesche, K. Ohneiser, J. Hofer, M. Radenz, H. Baars, P. Seifert, U. Wandinger

“…A smoke–cirrus case study suggests an influence of the aerosol layer on cloud formation, as it seems to affect the elastic-backscatter coefficient within the cloud passing time. …”
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EXPERIMENTAL TRIAL OF USING THE SCIENTIFIC MULTIBEAM ECHOSOUNDER DESIGNED TO DETECT FISH IN A WILD FIELD OF VIEW by G. M. Abdurakhmanov, A. A. Teymurov, A. A. Gadzhiev, A. N. Dolgov, A. N. Kutsenko, M. A. Raskita, S. V. Tretyakov

“…Values of the volume backscattering coefficient obtained both from the multibeam echosounder and the Simrad EK60 echosounder are rather close. …”
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Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

“…Data from the Sentinel-1 satellite were used in the study. Time series of backscattering coefficients for vertical–horizontal (VH) and vertical–vertical (VV) polarisations, both from ascending and descending orbits, were collected from Google Earth Engine. …”
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Event Discrimination Using Phase Correlation in Φ-OTDR System Based on Coherent Detection by Zhen Zhong, Feng Wang, Xuping Zhang

“…We report a novel method of event discrimination using phase correlation in Φ-OTDR system based on coherent detection. The phase change demodulated from the Rayleigh backscattering light is the result of the event acting on the optical fiber. …”
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Scalable Detection of Underground Water Leaks in Dense Urban Environments Using L-Band SAR and Machine Learning by E. Ali, E. Ali, L. Xie, A. Sani-Mohammed, W. Xu, T. Zayed

“…Features extracted via Gray-Level Co-occurrence Matrix (GLCM) metrics and backscattering coefficients were used to train various machine learning, deep learning, and ensemble learning models, with hyperparameter optimization performed using a grid search algorithm. …”
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Possibilities of laser location for remote monitoring of marine organisms (analytic review) by Valery I. Kudryavtsev

“…Volume-backscattering coefficients for the lidar with wave-length 532 nm and the acoustic sonar are compared for schools of some fish species. …”
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Detection of Inverted Channels Using Sentinel-1 Data and Sentinel-2 Data on Google Earth Engine: A Comparative Analysis by Xuhua Weng

“…The first method relies on thresholding the backscatter intensity of Sentinel-1 imagery. The second method is to fuse Sentinel-1 SAR data and Sentinel-2 multispectral data for classification using Random Forest (RF) classifier to generate classification probability maps, which are then used for channel detection. …”
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The Capabilities of Optical and C-Band Radar Satellite Data to Detect and Understand Faba Bean Phenology over a 6-Year Period by Frédéric Baup, Rémy Fieuzal, Clément Battista, Herivanona Ramiakatrarivony, Louis Tournier, Serigne-Fallou Diarra, Serge Riazanoff, Frédéric Frappart

“…Using Sentinel-1, Sentinel-2, and Landsat-8 data, temporal variations in NDVI and radar backscatter coefficients (γ⁰_VV, γ⁰_VH, and γ⁰_VH/VV) are examined to assess crop growth, detect anomalies, and evaluate the impact of climatic conditions and sowing strategies. …”
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The new definition of metabolic dysfunction-associated steatotic liver disease: the role of ultrasound and elastography by Xinrui Jin, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Vincent Wai-Sun Wong, Jimmy Che-To Lai

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Machine Learning-Driven Rapid Flood Mapping for Tropical Storm Imelda Using Sentinel-1 SAR Imagery by Reda Amer

“…Dual-polarization Sentinel-1 SAR data (VH and VV) were processed by computing the VH/VV backscatter ratio, and the resulting ratio image was classified using a supervised Random Forest classifier to delineate water and land. …”
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ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532 nm polarization and the high-spectral-resolution channel by F. Meng, J. Tang, G. Dai, W. Long, K. Sun, Z. Zhang, X. Song, X. Song, J. Liu, W. Chen, S. Wu, S. Wu, S. Wu

“…The paper also assesses the results of the calibration procedure by analyzing the errors of calibration coefficients and validating the attenuated backscatter coefficient results. …”
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Research on atmospheric temperature fine measurements from the near surface to 60 km altitude based on an integrated lidar system by Z. Wang, T. Guo, T. Guo, X. Li, X. Li, C. Chen, D. Liu, L. Qu, H. Li, H. Li, X. Wang

“…Below 16 <span class="inline-formula">km</span>, the lidar-derived temperatures exhibited strong agreement with radiosonde data, with a correlation coefficient of 0.95 and a root-mean-square error (RMSE) of 3.2 <span class="inline-formula">K</span>. …”
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