Global high-resolution fire-sourced PM_2.5 concentrations for 2000–2023 by Y. Hu, C. Tian, X. Yue, Y. Lei, Y. Cao, R. Xu, Y. Guo

“…Both datasets show consistent spatial distributions with regional hotspots in central Africa and widespread decreasing trends over most areas. …”
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Continuum topological derivative - A novel application tool for segmentation of CT and MRI images by Viswanath Muthukrishnan, Sandeep Jaipurkar, Nedumaran Damodaran

“…Evaluation of the proposed CTD algorithm's effectiveness in segmentation involved calculating performance metrics such as Jaccard and dice indices to assess spatial overlap of segmented images. …”
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Kinematics Analysis and Performance Optimization of Low Coupling PRPaR/2CRR Parallel Mechanism by Zhang Li, Zhu Lei, Xu Dong

“…What's more, a multi-objective optimization design model was established based on the comprehensive performance of the workspace volume, the global dexterity, and the global operability, and the optimal structural parameter size solution was calculated using the NSGA-Ⅱ algorithm. The research results show that the external boundary of the workspace of the PRPaR/2CRR parallel mechanism is smooth, with a semi tire shaped structure and local cavities. …”
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Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking by Maarten Perneel, Ines Adriaens, Ben Aernouts, Jan Verwaeren

“…However, the majority of available computer vision algorithms to study animal behaviour is highly tailored towards a single research objective, limiting possibilities for data reuse. …”
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Synergistic use of satellite, legacy, and in situ data to predict spatio-temporal patterns of the invasive Lantana camara in a savannah ecosystem by Lilly Theresa Schell, Emma Evers, Sarah Schönbrodt-Stitt, Konstantin Müller, Maximilian Merzdorf, Drew Arthur Bantlin, Insa Otte

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Vegetation browning as an indicator of drought impact and ecosystem resilience by Ignacio Fuentes, Javier Lopatin, Mauricio Galleguillos, James McPhee

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Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices by Yangcan Bao, Xiaofeng Lin, Mingming Jia, Zhongyong Xiao, Cuiping Wang, Jiangfu Liao, Yinghui Zhang

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Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

“…Monitoring complex and dynamic land systems such as tropical agroforests using remote sensing presents a significant challenge in ecological research. Traditional mapping methods are hindered not only by spectral similarity between agroforests and forests, but also by the spatial heterogeneity of forest-agroforest frontiers and the high data demand at large scales is an additional challenge. …”
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ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

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Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions by Maria Sigopi, Cletah Shoko, Timothy Dube

“…Remote sensing offers continuous, precise, and long-term datasets for surface water research. Various sensors with differing spatial resolutions are discussed, with high-resolution multispectral sensors providing superior spatial resolution but at higher costs. …”
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MSASGCN :  Multi-Head Self-Attention Spatiotemporal Graph Convolutional Network for Traffic Flow Forecasting by Yang Cao, Detian Liu, Qizheng Yin, Fei Xue, Hengliang Tang

“…Most existing research cannot model dynamic spatial and temporal correlations to achieve well-forecasting performance. …”
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Application of satellite images and object-oriented processing in land use/land cover map extraction to model ecosystem services (case study: Lorestan province) by Zahra Asadolahi, Mostafa Keshtkar, Zia Badehian

“…Segmentation was performed as the first step of object-oriented classification using multi-resolution segmentation algorithm. Due to the size of the study area and the average spatial resolution of Landsat images, the images were segmented with 30 scales, 0.4 coefficient, and 0.5 compression. …”
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Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents by Gaelle E. Doucet, Callum Goldsmith, Katrina Myers, Danielle L. Rice, Grace Ende, Derek J. Pavelka, Marc Joliot, Vince D. Calhoun, Tony W. Wilson, Lucina Q. Uddin

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Study on Dust Distribution Law in Open-Pit Coal Mines Based on Depth Variation by Dongmei Tian, Xiyao Wu, Jian Yao, Weiyu Qu, Jimao Shi, Kaishuo Yang, Jiayun Wang

“…This study examines the influence mechanism of mining depth evolution on dust distribution, using the An Tai Bao open-pit coal mine as the research subject. A spatial coordinate system of the mining area was established utilizing a GIS positioning system, and high-resolution topographic data were extracted using Global Mapper. …”
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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

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Sustainable THz SWIPT via RIS-Enabled Sensing and Adaptive Power Focusing: Toward Green 6G IoT by Sunday Enahoro, Sunday Cookey Ekpo, Mfonobong Uko, Fanuel Elias, Rahul Unnikrishnan, Stephen Alabi, Nurudeen Kolawole Olasunkanmi

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VTWSAR: A Fast Calculation Method for Visible Time Window of SAR Satellite to Regional Target by Xin Shi, Wenjie Xing, Huitao Liu, Yanxue Wang, Mengdao Xing

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Cluster-network interaction as a management tool for health tourism market in a regional economy by Матвей Оборин

“…The proposed model is tailored to the peculiarities of spatial and territorial location and the market potential of the country’s resort medicine.…”
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What can we learn about multi-hazard impacts from global disaster records? by W. S. Jäger, M. C. de Ruiter, T. Tiggeloven, P. J. Ward, P. J. Ward

“…We find that 35 % of events are multi-hazard events and 61 % of hazards are associated with them, based on a spatial overlap of at least 50 % and a time lag of at most 3 months. …”
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DA-YOLOv7: A Deep Learning-Driven High-Performance Underwater Sonar Image Target Recognition Model by Zhe Chen, Guohao Xie, Xiaofang Deng, Jie Peng, Hongbing Qiu

“…Affected by the complex underwater environment and the limitations of low-resolution sonar image data and small sample sizes, traditional image recognition algorithms have difficulties achieving accurate sonar image recognition. …”
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