CAIL: Cross-Modal Vehicle Reidentification in Aerial Images Using the Centroid-Aligned Implicit Learning Network by Haoran Gao, Yiming Yan, Yanming He, Jianzheng Zhou, Zhengning Zhang, Yunchao Yang

“…Compared with traditional Re-ID tasks based on fixed optical cameras, synthetic aperture radar (SAR) has the advantage of being unaffected by lighting and weather conditions, and can provide additional information. …”
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Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

“…Accurately defining the extent of floods is a problem for traditional flood mapping approaches, which emphasizes the vital need for modern technologies such as Synthetic Aperture Radar (SAR) imaging. Additionally, there is a need to develop computer-aided tools specifically designed for automatically identifying areas that are vulnerable to flooding using SAR data. …”
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Permanent aquifer storage loss from long-term groundwater withdrawal: A case study of subsidence in Bandung (Indonesia) by Michelle Rygus, Marco Bianchi, Alessandro Novellino, Ekbal Hussain, Ahmad Taufiq, Steven Reinaldo Rusli, Dwi Sarah, Claudia Meisina

“…The region faces challenges due to scarce hydrogeological data, necessitating the use of satellite-based Interferometric Synthetic Aperture Radar (InSAR) techniques to supplement the parameterization of numerical groundwater models. …”
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A Structurally Flexible Occupancy Network for 3-D Target Reconstruction Using 2-D SAR Images by Lingjuan Yu, Jianlong Liu, Miaomiao Liang, Xiangchun Yu, Xiaochun Xie, Hui Bi, Wen Hong

“…Driven by deep learning, three-dimensional (3-D) target reconstruction from two-dimensional (2-D) synthetic aperture radar (SAR) images has been developed. However, there is still room for improvement in the reconstruction quality. …”
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TOPS-speed complex-valued convolutional accelerator for feature extraction and inference by Yunping Bai, Yifu Xu, Shifan Chen, Xiaotian Zhu, Shuai Wang, Sirui Huang, Yuhang Song, Yixuan Zheng, Zhihui Liu, Sim Tan, Roberto Morandotti, Sai T. Chu, Brent E. Little, David J. Moss, Xingyuan Xu, Kun Xu

“…With appropriately designed phasors we demonstrate its performance in the recognition of synthetic aperture radar (SAR) images captured by the Sentinel-1 satellite, which are inherently complex-valued and more intricate than what optical neural networks have previously processed. …”
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Advancements and trends in mangrove species mapping based on remote sensing: A comprehensive review and knowledge visualization by Yuqi Wu, Chunyan Lu, Kexin Wu, Wenna Gao, Nuocheng Yang, Jingwen Lin

“…Existing studies have utilized various remote sensing image for mangrove species classification, including airborne hyperspectral, spaceborne visible, infrared, multispectral, hyperspectral, synthetic aperture radar (SAR), and drone-borne visible, infrared, multispectral, hyperspectral, light detection and ranging (LiDAR) data. …”
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A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) by M. Plante, J.-F. Lemieux, L. B. Tremblay, A. Bouchat, D. Ringeisen, D. Ringeisen, P. Blain, S. Howell, M. Brady, A. S. Komarov, B. Duval, L. Yakuden, F. Labelle

“…</a>, <a href="#bib1.bibx38">2024</a><a href="#bib1.bibx38">a</a></span>) dataset derived from the RADARSAT Constellation Mission (RCM) and Sentinel-1 (S1) synthetic aperture radar (SAR) imagery from 1 September 2017 to 31 August 2023. …”
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Estimation of inelastic skeletal storativity based on SAR-derived land subsidence and groundwater variation in Beijing Plain, China by Chenxia Li, Yanbing Wang, Jie Yu, Huili Gong, Xiaojuan Li, Xiyue Yang, Haowen Cheng, Xiaohuan Li, Kemiao Shao

“…In this paper, the land subsidence data were obtained based on the persistent scatterer interferometric synthetic aperture radar (PS-InSAR, PSI) and the least square (LS) method. …”
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EARice10: a 10&thinsp;m resolution annual rice distribution map of East Asia for 2023 by M. Song, M. Song, M. Song, L. Xu, L. Xu, J. Ge, J. Ge, J. Ge, H. Zhang, H. Zhang, H. Zhang, L. Zuo, L. Zuo, J. Jiang, J. Jiang, J. Jiang, Y. Ding, Y. Ding, Y. Ding, Y. Xie, Y. Xie, Y. Xie, F. Wu, F. Wu

“…Therefore, to acquire the latest rice distribution of the EA, this study proposed a novel rice distribution mapping method based on the Google Earth Engine (GEE) platform, producing a 10 m resolution annual rice distribution map (EARice10) of EA for 2023. A new synthetic aperture radar (SAR)-based rice distribution mapping index (SRMI) was firstly proposed and combined with optical indices to generate representative rice samples. …”
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Statewide Forest Canopy Cover Mapping of Florida Using Synergistic Integration of Spaceborne LiDAR, SAR, and Optical Imagery by Monique Bohora Schlickmann, Inacio Thomaz Bueno, Denis Valle, William M. Hammond, Susan J. Prichard, Andrew T. Hudak, Carine Klauberg, Mauro Alessandro Karasinski, Kody Melissa Brock, Kleydson Diego Rocha, Jinyi Xia, Rodrigo Vieira Leite, Pedro Higuchi, Ana Carolina da Silva, Gabriel Maximo da Silva, Gina R. Cova, Carlos Alberto Silva

“…To address this, we combined GEDI with Synthetic Aperture Radar (SAR), and optical imagery (Sentinel-1 GRD and Landsat–Sentinel Harmonized (HLS)) data to create a comprehensive canopy cover map for Florida. …”
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Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway by Yifan Cao, Zhifang Zhao, Mingchun Wen, Xin Zhao, Dingyi Zhou, Jingyi Qin, Liu Ouyang, Jingyao Cao

“…Despite the widespread application of Interferometric Synthetic Aperture Radar (InSAR) technology in landslide identification, challenges such as low recognition rates and difficulties in objective assessment continue to persist. …”
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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

“…Meanwhile, IC2-GDEM can serve as a new complementary data source for existing DEMs (such as Copernicus DEM) mainly sourced from synthetic aperture radar (SAR) observation. By cross-validating qualities, filling data gaps, and conducting multi-scale analyses, it can lead to more reliable and comprehensive scientific discoveries, thereby improving the overall quality and reliability of Earth science research. …”
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Mixed Analytical-Numerical Modeling of Radar Backscattering for Seasonal Snowpacks by Martina Lodigiani, Carlo Marin, Marco Pasian

“…In recent years, thanks to the increased availability of spaceborne synthetic aperture radars (SARs), a temporal relationship between wet-snow metamorphism and microwave backscattering has been demonstrated. …”
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Implications of high-resolution velocity and strain rate observations for modelling of Greenlandic tidewater glaciers by Dominik Fahrner, Pablo J. González, Douglas W. F. Mair, James M. Lea

“…Synthetic Aperture Radar (SAR) has been used extensively to determine the surface ice flow velocity of tidewater glaciers and investigate changes in seasonal or annual ice dynamics at medium spatial resolution (⩾100 m). …”
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