Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion by Menghui Jiang, Tian Qiu, Ting Wang, Chao Zeng, Boxuan Zhang, Huanfeng Shen

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Earthquake Recurrence Estimates for Northern Caribbean Faults from Combinatorial Optimization by Uri S. ten Brink, Eric L. Geist

“…Because of our system-modeling approach, such a configuration predicts less frequent earthquakes on EF and western Hispaniola and Muertos convergent zones. …”
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Efficient remote sensing image classification using the novel STConvNeXt convolutional network by Bo Liu, Chenmei Zhan, Cheng Guo, Xiaobo Liu, Shufen Ruan

“…Ablation studies further confirm the effectiveness of each module design, particularly demonstrating that the model maintains excellent classification accuracy despite a substantial reduction in parameters.…”
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Soil Carbon Remote Sensing: A Meta-Analysis and Systematic Review of Published Results from 1969–2022 by Savannah L. McGuirk, Iver H. Cairns

“…There is no other evidence to suggest that prediction models prepared with multispectral data perform worse than other models, however. …”
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Approach to analysis of inter-regional similarity of investment activity support measures in legislation of regions (on the example of Krasnoyarsk region) by Valentina F. Lapo

“…The proximity coefficient matrix will be especially useful in spatial econometric models. The offered approach and parameters can be applied to research the other positions of the regional legislation.…”
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Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning by Yu Feng, Xiaochun Lu

“…Then, on a 3000 m grid scale, a prediction model of BSS quantity with random forest, support vector regression, and gradient-boosting decision tree algorithm was built. …”
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Long short-term memory exploitation of satellite gravimetry to infer floods by Omid Memarian Sorkhabi, Joseph Awange

“…Flood forecasting is a vital segment of disaster risk management in that it contributes to the prediction of the magnitude, occurrence, duration and timing of floods. …”
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Monitoring Land Surface Temperature on Urban Expansion using Normalised Difference Vegetation Index and Google Earth Engine by Nur Suhaili Mansor, Hapini Awang, Chong Kar Min, Anna Bluszcz, Ade Candra, Shakiroh Khamis

“…Despite growing recognition of these impacts, many existing studies rely on static or predictive models that lack spatial precision and real-time monitoring. …”
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Fractal approach to geological and economic assessment of germanium-bearing lignites by O. I. Bilous, M. S. Burlutskyy

“…Furthermore, a combination of spatial, geostatistical and fractal analyses could form the basis for creating predictive models that could be applied to other lignite basins in Ukraine.…”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…The trained MLP model is then used to estimate the depth over the entire lake areas. …”
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Transformer-based multi-task learning for table tennis motion feature recognition by Tianfang Ma

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Late Quaternary fluctuation in upper range limit of trees shapes endemic flora diversity on the Tibetan Plateau by Jinfeng Xu, Tao Wang, Xiaoyi Wang, Christian Körner, Xianyong Cao, Eryuan Liang, Yongping Yang, Shilong Piao

“…We integrated satellite-derived upper range limit of trees, dendrochronological data, and fossil pollen records with a paleoclimate dataset in a climate-driven predictive model to reconstruct the spatio-temporal upper range limit of trees at 100-year intervals since the Last Glacial Maximum. …”
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Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China by Shiqin Li, Ilyas Nurmemet, Jumeniyaz Seydehmet, Xiaobo Lv, Yilizhati Aili, Xinru Yu

“…Improvements in secondary salinization and increased vegetation coverage were the primary contributors to this reduction. Geo Detector analysis highlighted vegetation (NDVI) as the dominant factor, and its interaction with soil moisture (NDWI) has a significant impact on the spatial and temporal distribution of soil salinity. …”
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Revealing the Spatiotemporal Changes in Land Use and Landscape Patterns and Their Effects on Ecosystem Services: A Case Study in the Western Sichuan Urban Agglomeration, China by Jing Wang, Peihao Peng, Tao Liu, Juan Wang, Shiqi Zhang, Pengtao Niu

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Integrating GIS-based AHP and groundwater quality assessment to delineate groundwater potential zones in the Rontu Watershed, West Nusa Tenggara, Indonesia by Pascalia Vinca Alvando, Dede Rohmat, Faizal Immaddudin Wira Rohmat, Dasapta Erwin Irawan, Abdullah Husna, Wendi Harjupa, Fauzan Ikhlas Wira Rohmat, Mutiara Indah Nur Rohman

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Quantifying the Impact of Rainfall on Taxi Hailing and Operation by Jian Sun, He Dong, Guoyang Qin, Ye Tian

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Low-cost water level measurement technologies for assessing the impact of climate change and storm surges in coastal areas, suitable for citizen science initiatives by Juan Francisco Martinez-Osuna, Juan Francisco Martinez-Osuna, Viviana Piermattei, Giovanni Coppini, Marco Marcelli, Marco Marcelli

“…These variables provide critical context for interpreting hydrological and oceanographic measurements, enhancing the accuracy of predictive models, and contributing to the development of more robust Early Warning Systems. …”
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Rear-End Crash Risk Analysis considering Drivers’ Visual Perception and Traffic Flow Uncertainty: A Hierarchical Hybrid Bayesian Network Approach by Naikan Ding, Linsheng Lu, Nisha Jiao

“…Results show that (1) the BN model with flow-level data outperformed the BN model without flow-level data and could predict 85.3% of the cases of crash risk decrease, with a false alarm rate of 21.4%; (2) the hierarchical hybrid BN models showed plausible spatial transferability in predicting crash risk variation; and (3) the incorporation of specific flow-level variables and data greatly benefited the successful identification of rear-end crash risk variations. …”
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The impact of land use/land cover change on ecosystem services in Golestan province by Hamidreza Kamyab, Nasim Shabani

“…Markov Chain Analysis is a convenient tool for modeling land use change, when changes and processes in the landscape are difficult to describe. …”
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A Unified Optimization Framework for Cost-Effective and Voltage-Stable Operation of Renewable Energy-Based Microgrids Using Mixed-Integer Nonlinear Programming by Peter Anuoluwapo Gbadega, Yanxia Sun, Olufunke Abolaji Balogun

“…The OPF analysis focuses on the spatial and temporal distribution of active and reactive power within the three-bus grid-tied microgrid while ensuring voltage stability within a ±10% boundary of the nominal 6kV. …”
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