Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments by Amin Wen, Tonghua Wu, Xiaofan Zhu, Jie Chen, Jianzong Shi, Peiqing Lou, Dong Wang, Xin Ma, Xiaodong Wu

“…The Geomorphon approach is proven to be a computationally efficient method that utilizes digital elevation models (DEMs) for terrain classification across multiple scales. In this study, we firstly evaluate the appliance of the Geomorphon algorithm in trough mapping in Prudhoe Bay (PB) in Alaska and the Wudaoliang region (WDL) on the central Qinghai–Tibet Plateau. …”
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Research on mapping method of logical carrying network across multiple domains by Min ZHANG, Chun-ming WU, Bin WANG, Ming JIANG

“…In order to solve the mapping problem of logical carrying network across multiple domains,a hierarchical linear program model was presented,which aims to minimize the cost of mapping.Based on this model,a mapping algorithm for logical carrying network across multiple domains was designed using primal decomposition and subgradient optimization technique.The correctness of this method was proved by theoretical analysis,and the validity of the proposed method was assessed by a collection of numerical simulation experiments through the performance of convergence and runtime,as well as mapping request acceptance ratio and revenue in a dynamical network environment.…”
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A survey of sequence-to-graph mapping algorithms in the pangenome era by Yingbo Cui, Chenchen Peng, Zeyu Xia, Canqun Yang, Yifei Guo

“…Numerous sequence-to-graph mapping algorithms have been developed over the past few years. …”
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Divergent crop mapping accuracies across different field types in smallholder farming regions by Xin Huang, Anton Vrieling, Yue Dou, Xueying Li, Andrew Nelson

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Remote sensing for land cover mapping across Victoria, Australia – a machine learning application by Sabah Sabaghy, Mohammad Abuzar, Doug Crawford, Andy McAllister, Kathryn Sheffield

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Advances in Soil Moisture Mapping Techniques and Disaggregation Algorithms for Environmental and Agricultural Applications by M. Pablos, G. Portal, G. Portal, A. Camps, A. Camps, A. Camps, M. Vall-llossera, M. Vall-llossera, C. López-Martínez, C. López-Martínez

“…These algorithms have been validated across diverse environments, demonstrating RMSE values of 0.04–0.10 cm³/cm³. …”
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Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning by Min Zhang, Xinlei Xu, Junji Ou, Zengguang Zhang, Fangzheng Chen, Lijie Shi, Bin Wang, Meiqin Zhang, Liang He, Xueliang Zhang, Yong Chen, Kelin Hu, Puyu Feng

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An algorithm for variational inclusion problems including quasi-nonexpansive mappings with applications in osteoporosis prediction by Raweerote Suparatulatorn, Wongthawat Liawrungrueang, Thanasak Mouktonglang, Watcharaporn Cholamjiak

“…From the experimental results, our proposed algorithm consistently outperforms existing algorithms across multiple evaluation metrics. …”
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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds by Lun Wang, Rong Ye, Youqing Chen, Tong Li

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Efficient Pathfinding on Grid Maps: Comparative Analysis of Classical Algorithms and Incremental Line Search by Amr Elshahed, Majid Khan Bin Majahar Ali, Ahmad Sufril Azlan Mohamed, Farah Aini Binti Abdullah, Ts. Lee Jian Aun

“…Extensive experiments were conducted to evaluate the performance of ILS across various metrics, including execution time, visited nodes, and path length, over a total of 6000 grid maps generated with obstacle densities of 10%, 20%, and 30%. …”
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Landslides in the Himalayas: The Role of Conditioning Factors and Their Resolution in Susceptibility Mapping by Lalit Pathak, Badri Baral, Kamana Joshi, Dipak Raj Basnet, Danilo Godone

“…Sixteen factors, encompassing topography, hydrology, geology, and anthropogenic activities, were analyzed alongside a landslide inventory of 159 occurrences compiled from satellite imagery, the literature, and field surveys. A genetic algorithm (GA) was employed to determine the optimal set of conditioning factors, while Maximum Entropy (Maxent) modeling produced landslide susceptibility maps (LSM) at spatial resolutions ranging between 12.5 and 200 m. …”
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Tropical Cyclones Across Global Basins: Dynamics, Tracking Algorithms, Forecasting, and Emerging Scientometric Research Trends by Vivek Singh, Gaurav Tiwari, Amarendra Singh, Rajeeb Samanta, Atul Kumar Srivastava, Deewan Singh Bisht, Ashish Routray, Sushil Kumar, Shivaji Singh Patel, Abhishek Lodh

“…The review also discusses TC tracking algorithms, structural diagnostics, and the evolution of forecasting frameworks, along with emerging research trends revealed through scientometric mapping. …”
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CIAO: A machine-learning algorithm for mapping Arctic Ocean Chlorophyll-a from space by Maria Laura Zoffoli, Vittorio Brando, Gianluca Volpe, Luis González Vilas, Bede Ffinian Rowe Davies, Robert Frouin, Jaime Pitarch, Simon Oiry, Jing Tan, Simone Colella, Christian Marchese

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Remote Sensing of Alpine Peatlands: Challenges of Mapping Thousands of Sparse Small Sites Scattered Across Extensive Mountainous Territories by Qiqi Li, Manudeo Singh, Sonia Silvestri

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MapReduce teaching learning based optimization algorithm for solving CEC-2013 LSGO benchmark Testsuit by A.J. Umbarkar, P.M. Sheth, Wei-Chiang Hong, S.M. Jagdeo

“…Teaching Learning Based Optimization (TLBO) algorithm, introduced in 2011 is widely used in optimization problems across various domains. …”
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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

“…These findings underscore the robust performance of advanced ML algorithms, particularly ensemble methods with tree-based structures, in flood risk mapping, especially within complex environmental contexts.…”
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A scalable framework for soil property mapping tested across a highly diverse tropical data-scarce regionZENODO by Rodrigo de Q. Miranda, Rodolfo L.B. Nóbrega, Anne Verhoef, Estevão L.R. da Silva, Jadson F. da Silva, José C. de Araújo Filho, Magna S.B. de Moura, Alexandre H.C. Barros, Alzira G.S.S. Souza, Wanhong Yang, Hui Shao, Raghavan Srinivasan, Feras Ziadat, Suzana M.G.L. Montenegro, Maria do S.B. Araújo, Josiclêda D. Galvíncio

“…Therefore, we recommend the use of region-specific PTFs for hydraulic properties based on multi-covariate soil property maps. This cost-effective framework accurately integrates diverse environmental covariates, adapts to varying soil data availability, and scales across spatial resolutions, making it highly transferable to other data-scarce regions.…”
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Deep learning-based mapping of total suspended solids in rivers across South Korea using high resolution satellite imagery by JunGi Moon, SungMin Suh, SangJin Jung, Sang-Soo Baek, JongCheol Pyo

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Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

“…To address these issues, we propose a matching recognition algorithm that combines OpenStreetMap (OSM) data with high-resolution RS imagery. …”
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Localization of Acoustic Emission Source in Rock Using SMIGWO Algorithm by Jiong Wei, Fuqiang Gao, Jinfu Lou, Lei Yang, Xiaoqing Wang

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