Integration of HD Maps and Point Clouds: An Efficient 3D Reconstruction Framework for Autonomous Driving Applications by G. Bardak, M. Sodano, M. Scholz

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A Comparative study on the impact of urbanisation on microclimate in Cairo (Egypt) and London (UK) using remote sensing and Machine Learning by L. Sabobeh, T. Ali, M. Md. Mortula

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The Role of Open-Source Data in Disaster Preparedness and Response. A Case Study on Flood Impact in Local Communities by A. Oyetunde, G. Neziri

“…To complement remote mapping efforts, in-situ data collection was carried out using the Open Data Kit (ODK), capturing real-time information on infrastructure conditions and displacement patterns. Spatial analyses, including change detection and overlay techniques in QGIS, revealed that over 40% of residential zones within the study area are located in high-risk flood-prone zones, with essential facilities, such as police stations and commercial clusters, also affected. …”
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Two Decades of Coastal Development across the Arabian Gulf: Insights from Remote Sensing and Machine Learning by B. Dahy, R. Sousa, M. Sultan, J. A. Burt

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Comparative Analysis of Machine Learning Algorithms and Statistical Techniques for Data Analysis in Crop Growth Monitoring with NDVI by M. Arunachalam, S. Sekar, A. M. Erdmann, V. V. Sajith Variyar, R. Sivanpillai

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Rainfall-Runoff Modelling for Sustainable Water Resource Management in the Louisiana State by J. D. Osei, Y. A. Twumasi, Z. H. Ning, E. Dadzie, D. T. Gyan, P. M. Loh, R. N. D. Armah

“…This study leverages Google Earth Engine (GEE) to model and predict runoff patterns in Louisiana from 2018 to 2023, aiming to improve water resource management. …”
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A Method for Improving Traffic Management Based on Computer Vision and Traffic Simulation by R. Huang, Z. Wang, Y. Lin, T. Du, K. Lu, K. Lu, C. Ding, Y. Zhang

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Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments by L. Asgharian Pournodrati, M. M. Baba, J. Gangelhoff, U. Sörgel

“…Furthermore, to capture both fine-grained and large-scale spatial patterns in bathymetric data, we design transformer heads grouped by scale. …”
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Earth Observation-Based Analysis and Modelling of Coastline Erosion and Accretion Along the Parts of the East Coast of India by R. Karak, S. Mamgain, P. G. D. Chakrabarti, A. Roy

“…This study examines the patterns and processes of coastal erosion and accretion along the West Bengal coast of India from 1990 to 2020, a region characterized by its dynamic geomorphology and significant socio-economic importance. …”
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Utilizing Sentinel-2 Remote Sensing for Water Quality Monitoring in Deran Lake, Bosnia and Herzegovina by A. Batina, A. Šiljeg, G. Pedić, M. Parać

“…Chl-a concentrations confirmed oligotrophic conditions, while TSS patterns aligned with known hydrodynamic features such as inflow zones and sediment resuspension areas. …”
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Stereo Matching Network with Transformer-CNN Feature Fusion and ConvGRU Refinement for High-resolution Satellite Stereo Images by M. Yang, S. Jiang, W. Jiang, Q. Li

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Permanent Laser Scanning and 3D Time Series Analysis for Geomorphic Monitoring using Low-Cost Sensors and Open-Source Software by L. de Vugt, E. Carraro, A. Fatihi, E. Mattea, E. Myall, D. Czerwonka-Schröder, K. Anders

“…Our results show consistent change values and patterns obtained with both Livox and RIEGL scans, demonstrating that, despite minor differences in time series trends, the low-cost Livox scanner effectively captures geomorphic changes comparable to those measured by the RIEGL. …”
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Deep Learning-Based AI-Assisted Visual Inspection Systems for Historic Buildings and their Comparative Performance with ChatGPT-4O by M. Mishra, M. Mishra, K. Zhang, C. Mea, L. Barazzetti, F. Fassi, F. Fiorillo, M. Previtali

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Identification of Factors Causing Land Cover Change in the Cikapundung Watershed by A. B. Harto, A. B. Harto, R. Virtriana, R. Virtriana, R. J. Kusuma, I. K. C. Reynaldi, A. Q. Karima, A. A. Kuntoro

“…The relationship between human population growth, urbanization, and land resource pressures at various spatial and temporal scales has led to these changes. …”
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Urban Trees for Changing Climates: Insights for Bavarian Cities by J. Fäth, J. Friesen, A. S. Garcia de León, J. Rieder, C. Schäfer, T. Leichtle, T. Ullmann, H. Taubenböck, H. Taubenböck

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Spatio-temporal Dynamics and Drivers of Soil Loss in the Poyang Lake Basin Based on GEE and Multi-Source Remote Sensing Data by N. Wei, Y. Lin, Y. Lin, J. Yu, Y. Yang

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Mapping Forest Fire Dynamics: A Global Perspective on Trends of Severity and Frequency Across Sub-Biomes by S. Mamgain, B. Ghale, A. Roy, H. C. Karnatak

“…The analysis integrates Mann-Kendall trend tests, Sen’s slope estimations, & spatial mapping to elucidate the patterns of forest fire occurrences & their implications for different ecosystems. …”
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Vertical Crustal Movement along the Coast of South Africa by F. E. Kemgang Ghomsi, F. E. Kemgang Ghomsi, F. E. Kemgang Ghomsi, M. H. Erkoç, R. P. Raj, A. Pirti, A. Bonaduce, B. J. Abiodun, B. J. Abiodun, J. Stroeve, J. Stroeve, J. Stroeve

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Bi-branch Neural Network for Urban Functional Zone Mapping: Combining Remote Sensing Imagery and Point-of-Interest Data by L. Ying, X. Chen, X. Chen, X. Chen, X. Chen, J. Zhao, Y. Zhang, H. Sun, W. Tu, W. Tu, W. Tu, W. Tu

“…The BibDL model leverages the complementary strengths of these data sources: remote sensing provides spatial and structural information, while POI data offers insights into human activities and land use patterns. …”
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Addressing Cultural Heritage Challenges: Applications of Open-Access Remote Sensing Datasets for Monitoring Threats by K. Michaelides, S. Hadjipetrou, A. Agapiou, A. Sarris, V. Klinkenberg, M. Polidorou

“…Results were validated against RUSLE 2010 and 2015 datasets provided by ESDAC, showing consistent patterns, with minor differences due to spatial resolution and terrain characteristics. …”
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