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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SAR Radiometric Cross-Calibration Based on Multiple Pseudoinvariant Calibration Sites With Extensive Backscattering Coefficient Range by Yongsheng Zhou, Xiang Chen, Qiang Yin, Fei Ma, Fan Zhang

“…In addition, the backscattering coefficient's time-series root mean square error (RMSE) is leveraged to identify stable targets. …”
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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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Interferometric phase diagram generation method based on dot trace texture information and semantic segmentation of correlation coefficients by Xuelin Zhang, Zhaoxia Wang, Hui Zhang, Dongliang Xie

“…First, the InSAR images are sharpened according to the different backscattering characteristics of various pixel values, and DTTI is extracted to generate the Dot Trace Texture Map (DTTM). …”
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Landslide susceptibility evaluation considering the importance selection of influencing factors and soil moisture content by Zhongyu WANG, Sumin LI, Liwei YUAN, Weipeng LE

“…Soil moisture content factors were extracted using SAR satellite backscatter coefficients and DEM data, and 15 evaluation factors were ranked for importance using XGBoost and Lasso regression models. …”
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Validation of the vertical canopy cover profile products derived from GEDI over selected forest sites by Yu Li, Hongliang Fang, Yao Wang, Sijia Li, Tian Ma, Yunjia Wu, Hao Tang

“…The GEDI CC was improved at moderate CC values using a canopy-to-ground backscattering coefficient ratio (ρv/ρg) determined with the regression method. …”
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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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Full cycle rice growth monitoring with dual-pol SAR data and interpretable deep learning by Ji Ge, Hong Zhang, Lu Xu, Wenjiang Huang, Jingling Jiang, Mingyang Song, Zihuan Guo, Chao Wang

“…Initially, radar vegetation indices, polarimetric decomposition parameters, and backscattering coefficients characterize rice growth in multiple dimensions. …”
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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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