Leveraging machine learning and Landsat time series for high-resolution mapping of mining-induced vegetation changes in Ouagadougou, Burkina Faso by Oussama Himmy, Thanh Thi Nguyen, Katharina Salomea Hemmler, Safia Loulad, Hassan Rhinane, Andreas Buerkert

“…This generated high-resolution land cover maps with over 90 % accuracy across 257 quarries (38 km²). …”
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Potential of random forest machine learning algorithm for geological mapping using PALSAR and Sentinel-2A remote sensing data: A case study of Tsagaan-uul area, southern Mongolia by Munkhsuren Badrakh, Narantsetseg Tserendash, Erdenejargal Choindonjamts, Gáspár Albert

“…Geological mapping in remote and geologically complex regions can be substantially improved by integrating remote sensing data with machine learning algorithms. …”
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Application of Improved Electromagnetism-like Mechanism Algorithm on Massive Remote Sensing Image Screening by Yingjie Fang, Kun Liu, Xun Zhang, Gang Lin, Huibing Wang, Lina Dong, Su Li

“…In this paper, an improved electromagnetism-like mechanism algorithm is proposed to solve the optimal screening problem of remote sensing data, using the tent chaotic map to construct the initial population, combining with a new local search strategy, and introducing the idea of differential evolutionary algorithm. …”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…The geographic variability of point properties is interpolated using geospatial techniques like Inverted Distance Weighted (IDW) and further, forecast for an unobserved site using neighbouring, well-known variables, and it is visualized as maps utilizing ArcGIS 10.5 software. For this purpose, water samples were collected from 16 different locations across the stretch and 21 parameters were analysed for a time frame of 2017 to 2024 respectively. …”
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Creating a Newer and Improved Procedural Content Generation (PCG) Algorithm with Minimal Human Intervention for Computer Gaming Development by Lazaros Lazaridis, George F. Fragulis

“…The current study introduces an improved spawn algorithm designed for 2D map generation, capable of creating maps with multiple room sizes and a decorative object. …”
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An Adaptive Threshold-Based Pixel Point Tracking Algorithm Using Reference Features Leveraging the Multi-State Constrained Kalman Filter Feature Point Triangulation Technique for D... by Zohaib Wahab Memon, Yu Chen, Hai Zhang

“…Monocular visual–inertial odometry based on the MSCKF algorithm has demonstrated computational efficiency even with limited resources. …”
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Beyond the Grid: GLRT-Based TomoSAR Fast Detection for Retrieving Height and Thermal Dilation by Nabil Haddad, Karima Hadj-Rabah, Alessandra Budillon, Gilda Schirinzi

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Time-series forest age estimation in Xinjiang based on forest disturbance and recovery detection by Lili Zhai, Mei Zan, Mao Ye, Jia Zhou, Cong Xue, Shunfa Yang, Yuntong Liu

“…Obtaining reliable forest age data across various scales remains a significant challenge. …”
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Persistent vegetation greening trends across China’s wetlands by Yongxing Ren, Dehua Mao, Tao Wang, Mohamed Abdalla, Pete Smith, Xiangming Xiao, Zicheng Yu, Xiuxue Chen, Yanbiao Xi, Ling Luo, Xiaoyan Li, Zongming Wang

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Pattern Recognition in Urban Maps Based on Graph Structures by Xiaomin Lu, Zhiyi Zhang, Haoran Song, Haowen Yan

“…While both have achieved certain recognition outcomes, they suffer from four key limitations: (1) insufficient algorithmic interpretability; (2) limited model generalizability; (3) restricted pattern diversity in recognition; (4) inability of existing methods (including deep learning and traditional algorithms) to achieve multi-pattern recognition across heterogeneous map group types (e.g., building groups vs. road networks) using a single framework. …”
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Improved Soybean Mapping with Spectral Gaussian Mixture Modeling by Guilong Xiao, Kaiqi Du, Shuangxi Miao, Xuecao Li, Anne Gobin, Tiecheng Bai, Miao Zhang, Bingfang Wu, Jianxi Huang

“…However, traditional sample-driven soybean mapping algorithms often rely on extensive, representative datasets, which can limit their applicability across different regions and periods. …”
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Mapping forest types along ecological gradient in Pakistan by Naveed Ahmad, Syed Ghias Ali

“…This study suggests that mapping of forest types through machine learning algorithms may be improved by incorporating other explanatory variables such as microclimate, soil types, nutrients, anthropogenic, demographic factors and spectral indices.…”
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Unmixing marsh vegetation species across multiple sensors and spatial scales by Zhicheng Yang, Tegan Blount, Conner Lester, Nat Blackford, Andrea D’Alpaos, Marco Marani, Brad Murray, Sonia Silvestri

“…This demonstrates that UAVs are cost-effective and efficient for acquiring ground truthing to inform FA estimation algorithms. Our analyses also indicate that the RRFR can accurately unmix dominant marsh species (Spartina and Juncus), as well as bare soil, across various spatial resolutions. …”
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Minimal repeats are ubiquitous sites of crossover and recombination across the human genome by Mina Ohadi, Nahid Tajeddin, Hadi Bayat, Dale J Annear, Ali M. A. Maddi, Hamid R. Khorram Khorshid, Kaveh Kavousi, Ahmad Delbari, Alireza Nikkhah, Masoud Arabfard

“…To this end, we hypothesized that dinucleotide 3-repeat units (D3Us) are, at least in part, the basic overlapping units resulting from unequal crossover between dinucleotide 2-repeat units (D2Us). We mapped TATATA, ATATAT, CGCGCG, and GCGCGC across the human genome and analyzed their colonization (the distance between consecutive D3Us < 500 bp). …”
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Efficient Image Processing Technique for Detecting Spatio-Temporal Erosion in Boron Nitride Exposed to Iodine Plasma by Ahmed S. Afifi, Janith Weerasinghe, Karthika Prasad, Igor Levchenko, Katia Alexander

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In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery by Hui Li, Liping Di, Chen Zhang, Li Lin, Liying Guo, Ruopu Li, Haoteng Zhao

“…This algorithm only depended on one place&#x0027;s training data to mapping other places&#x2019; growing sugarcane. …”
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SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths by Amirul Jamaludin, Syaimaa' Solehah Mohd Radzi, Norhidayah Mohamad Yatim, Nazlee Azmeer Masuan, Norsharimie Mat Adam, Nur Aisyah Syafinaz Suarin, Pazli Mohd Sulong, Siti Sofiah Mohd Radzi

“…The algorithms were tested on uneven terrain within a palm oil plantation under varying illuminance conditions (morning and noon) and across trajectories of different lengths, corresponding to map sizes of 400 m (small), 600 m (medium), 1000 m (large), and 1200 m (extra-large). …”
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High spatial resolution vegetation mapping for assessment of wildlife habitat by Kelly M. Walton, Donald E. Spalinger, Norman R. Harris, William B. Collins, James J. Willacker

“…We used infrared and color digital photography acquired at an altitude of 150 m across 2 study areas with distinctly different vegetation to provide spectral data for supervised classifications of plant species using the maximum likelihood algorithm. …”
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An Upscaling-Based Strategy to Improve the Ephemeral Gully Mapping Accuracy by Solmaz Fathololoumi, Daniel D. Saurette, Harnoordeep Singh Mann, Naoya Kadota, Hiteshkumar B. Vasava, Mojtaba Naeimi, Prasad Daggupati, Asim Biswas

“…The third, or upscaling strategy, applied the high-resolution calibrated model to medium-resolution Sentinel-2 imagery, producing 10 m resolution EGs maps. The accuracy of these maps was evaluated against actual data and compared across strategies. …”
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Systematic mapping study of tools to identify emotions and personality traits by Amanul Islam, Nurul Fazmidar Mohd Noor, Siti Soraya Abdul Rahman

“…The key findings of this study emphasize the need for standardized validation methods and large-scale studies across diverse populations to enhance the reliability and applicability of these tools. …”
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