Tree species classification using intensity patterns from individual tree point clouds by Andreas Tockner, Ralf Kraßnitzer, Christoph Gollob, Sarah Witzmann, Tim Ritter, Arne Nothdurft

“…However, recent studies assessing tree species labels on single tree point clouds have been insufficiently accurate in complex forest ecosystems; moreover, explainability of machine-learning methods used in published studies has been insufficient. …”
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Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Sarawut Ninsawat, Jaturong Som-ard

“…The significant challenges persist in accurately classifying crop types in highly fragmented cropland regions characterized by small field sizes, complex landscapes, and highly frequent cloud cover. …”
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The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

“…The sett is a crucial resource for badgers, serving various functions and significantly influencing their spatial ecology. The selection of sett sites is also a complex behavior. …”
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Mapping forest types along ecological gradient in Pakistan by Naveed Ahmad, Syed Ghias Ali

“…Environmental variables influence the spatial distribution, pattern and structure of vegetation in complex mountainous landscape along varied geographical conditions. …”
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SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation by Junqing Huang, Junqi Bao, Min Xia, Xiaochen Yuan

“…To utilize the visual recognition capabilities of SAM for improving RSCD, we propose an SAM-based efficient feature integration network (EFI-SAM). Random fourier features adaptor (RFFA) is utilized to enhance Mobile SAM’s capability for extracting general features from complex RSIs, resulting in adaptive Mobile SAM, which serves as the feature extractor of EFI-SAM. …”
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Spatiotemporal Analysis of Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance by Ryan Day, John L. Salmon

“…Spatial patterns are analyzed through principal components analysis and random forest surrogate modeling with profiling to understand non-linear parameter influences. …”
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GNSS-R-Based wildfire detection: a novel and accurate method by Xuke Wang, Wei Yao

“…Error analysis indicates no systematic errors, with CNN exhibiting lower fire detection errors and better spatial alignment with actual conditions than RF, which tends to overestimate. …”
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Improved Cylinder-Based Tree Trunk Detection in LiDAR Point Clouds for Forestry Applications by Shaobo Ma, Yongkang Chen, Zhefan Li, Junlin Chen, Xiaolan Zhong

“…For LiDAR-acquired forest point cloud data, existing two-dimensional (2D) plane-based algorithms for tree trunk detection often suffer from spatial information loss, resulting in reduced accuracy, particularly for tilted trees. …”
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Mapping Tropical Forested Wetlands Biomass with LiDAR: A Machine Learning Comparison by Jonathan V. Solórzano, Candelario Peralta-Carreta, J. Alberto Gallardo-Cruz

“…This study underscores the effectiveness of LiDAR-derived metrics for AGB estimation in complex forested environments.…”
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Assessing the impact of fixed speed cameras on speeding behavior and crashes: A longitudinal study in New York City by Jingqin Gao, Di Yang, Chuan Xu, Kaan Ozbay, Smrithi Sharma

“…Leveraging speeding tickets from 1,821 fixed speed cameras in school zones and crash data, this study employs interrupted time-series, spatial distribution, clustering analysis, and Survival Analysis with a random effect (SARE) to investigate if such a program brings about immediate and/or long-term change in speeding behaviors and crash reduction. …”
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Spatiotemporal pattern and driving factors of atmospheric CO2 concentrations based on satellite remote sensing from 2001 to 2022 in central Yunnan plateau by Yunling He, Xiaohua Zhang, Ning Pu, Chunyan Wu, Wu Tang

“…Using Geographically and Temporally Weighted Regression (GTWR) and Geographical detector (GD), a prediction model was established to explore the complex relationship between 14 driving factors of 3 different types (including urban spatial configuration, natural factors and socioeconomic factors) and the annual CO2 concentrations. …”
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Integrated Single-Cell Analysis Revealed Novel Subpopulations of Foamy Macrophages in Human Atherosclerotic Plaques by Yunrui Lu, Shuang Wu, Shiyu Zhu, Jian Shen, Chang Liu, Chaoyue Zhao, Sheng’an Su, Hong Ma, Meixiang Xiang, Yao Xie

“…Foam cell formation is a hallmark of atherosclerosis, yet the cellular complexity within foam cells in human plaques remains unexplored. …”
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Temporal Denoising of Infrared Images via Total Variation and Low-Rank Bidirectional Twisted Tensor Decomposition by Zhihao Liu, Weiqi Jin, Li Li

“…Temporal random noise (TRN) in uncooled infrared detectors significantly degrades image quality. …”
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Quantifying the impact of urban blue-green spaces on humid-heat exposure risk: A case study of Nanjing’s central urban area by Yueyue Ma, Chenfeng Xu, Zhijie Yang

“…This dataset was further combined with conventional heat exposure assessment methods to develop a novel Population-Weighted Humid Heat Exposure Index (PWHHEI). The spatial distribution patterns between PWHHEI and urban blue-green spaces (UBGS) were analyzed using the bivariate Local Moran’s I statistic, and a Geographically Weighted Random Forest model was applied to assess the regulatory effects of UBGS morphological characteristics on humid-heat exposure and their spatial heterogeneity. …”
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Harnessing deep learning and CRF for prior-knowledge modeling of crop dynamics by Laura Elena Cué La Rosa, Dario Augusto Borges Oliveira, Raul Queiroz Feitosa

“…Traditional models like Conditional Random Fields (CRFs) have been useful in classifying crop types using spatial and temporal contexts. …”
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Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India by Abhijeet Das

“…The study determined the water quality (WQ) index and its spatial distribution of pollutants. For its purpose, by employing innovative techniques, such as Methods Based on Removal Effects of Criteria (MEREC/Me) Water Quality Index (WQI), Multi-Criteria Decision-Making analysis namely Additive Ratio Assessment (ARAS) modeling and Machine Learning approaches entitled as Random Forest (RF) technique, the present study identifies locations, which have encountered the highest influence of cumulative factors such as discharge of sewage, lowering of water table, dilution and surface runoff, which lead to water quality variability in a water body over a monitoring period. …”
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Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management by T. V. Ramachandra, Paras Negi

“…Modeling likely land uses through the simulation of long-term spatial variations of complex patterns has been done through the CA–Markov model. …”
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Rapid Laser Ranging Method for Compact LiDAR Systems by Jiahui Guo, Bo Gao, Xiaojun Liu, Junya Wang, Zheng You

“…It employs a high signal-to-noise ratio (SNR) coherent detection scheme to minimize the required measurement integration time, while also addressing key challenges encountered by existing rapid coherent ranging methods in compact systems—namely, device fabrication difficulties, the complexity of parallel Doppler frequency shift (DFS) decoupling, and endpoint effect elimination—through low-depth pseudo-random phase modulation (LD-PRPM). …”
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A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features by Yanlin Shao, Peijin Li, Ran Jing, Yaxiong Shao, Lang Liu, Kunpeng Zhao, Binqing Gan, Xiaolei Duan, Longfan Li

“…Lithological identification of outcrops in complex geological settings plays a crucial role in hydrocarbon exploration and geological modeling. …”
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Energy Stealth Evaluation of Radar Systems with a Space–Time Modulated Probing Signal by V. M. Kutuzov, V. P. Ipatov, S. S. Sokolov

“…The article considers the possibility of increasing the energy stealth of a radar system with a complex quasi-continuous signal due to additional spatial modulation of the probing signal in the radiation mode and the use of MIMO technology when receiving and processing reflected signals.Aim. …”
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