Toward Street‐Level Nowcasting of Flash Floods Impacts Based on HPC Hydrodynamic Modeling at the Watershed Scale and High‐Resolution Weather Radar Data by Pierfranco Costabile, Carmelina Costanzo, John Kalogiros, Vasilis Bellos

“…Specifically, the main goal of this research is to make a step to move toward the implementation of an effective flash flood nowcasting system in which timely and accurate impact warnings are provided by including weather radar products in the HPC 2D‐SWEs modelling framework able to integrate watershed hydrology, flow hydrodynamics, and river urban flooding in just one model. …”
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Extracting knowledge of preventive maintenance using data mining technique in interaction with production within textile industry by Shahram Fatemi

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Keywords spotting in Russian handwritten documents based on strokes segmentation by D. D. Feoktistov, L. M. Mestetskiy, L. M. Mestetskiy

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Pixels relationship analysis for extracting building footprints by A. Emelyanov, A. Emelyanov, V. Knyaz, V. Knyaz, V. Kniaz, V. Kniaz, D. Artist

“…Currently, remote sensing research is focused on developing an automated algorithm that can compete with empirical methods for mapping the contours of individual buildings. …”
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Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

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A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data by Zijia Wang, Sheng Nie, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Jieying Lao, Bisheng Yang

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ForestSemantic: a dataset for semantic learning of forest from close-range sensing by Xinlian Liang, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, Juha Hyyppä

“…Recently, Deep Learning (DL) methods were regarded as a new cornerstone of algorithm development. Semantic annotations of 3D forest scenes are fundamental for DL algorithm developments. …”
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Application of the Double Approximation Method for Constructing Stiffness Matrices of Volumetric Finite Elements by P. P. Gaidzhurov, N. A. Saveleva

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Spatiotemporal patterns of human mobility during the COVID-19 pandemic in China by Jingjing Liu, Lei Xu, Nengcheng Chen, Zeqiang Chen

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Near real-time LOD prediction using ConvLSTM model through integrating IGS rapid LOD and effective angular momentum by Kehao Yu, Xiaoya Wang, Zhao Li, Jian Wang, Lihua Li, Weiping Jiang, Kai Yang, Jingwen Long, Yunzhao Li

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Area extraction and growth monitoring of sugarcane from multi-source remote sensing images under a polarimetric SAR data compensation based on buildings by Yong Hong, Tianjin Xie, Lengkun Luo, Mi Wang, Deren Li, Qing Zhang, Ting Xu

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Urban tree species classification using multisource satellite remote sensing data and street view imagery by Shufan Wang, Chun Liu, Shanshan Wei, Hao Tang

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New method for landslide susceptibility evaluation in alpine valley regions that considers the suitability of InSAR monitoring and introduces deformation rate grading by Dingyi Zhou, Zhifang Zhao, Wenfei Xi, Xin Zhao, Jiangqin Chao

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Adverse events associated with gepants: a pharmacovigilance analysis based on the FDA adverse event reporting system by Qi Song, Siyuan Gao, Yaqian Tan

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An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…Firstly, a shadow detection model is established through the double constraints of spatial angle and distance to detect and mark the shadow areas in complex scenarios self-adaptively. …”
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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

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Exploring machine learning approaches for precipitation downscaling by Honglin Zhu, Qiming Zhou, Jukka M. Krisp

“…This study critically reviewed existing spatial downscaling approaches, specifically focusing on machine learning (ML)-based algorithms. …”
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Geospatial brain-inspired navigation: a neurocognitive approach for autonomous systems in complex environments by Donghui Han, Tong Qin, Tianyu Yang, Hua Liao, Qiaosong Hei, Fangwen Yu, Bailu Si, Weihua Dong

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Automated noise modelling using a triangulated terrain model by Nadine Hobeika, Laurens van Rijssel, Maarit Prusti, Constantijn Dinklo, Denis Giannelli, Balázs Dukai, Arnaud Kok, Rob van Loon, René Nota, Jantien Stoter

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Radiometric landscape: a new conceptual framework and operational approach for landscape characterisation and mapping by Louise Lemettais, Samuel Alleaume, Sandra Luque, Anne-Élisabeth Laques, Yonas Alim, Laurent Demagistri, Agnès Bégué

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