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Isaac Oluoch
Over the past two decades, there has been increasing research on the use of artificial intelligence (AI) and geographic information technologies for monitoring and mapping varying phenomena on the Earth?s surface. At the same time, there has been growing...
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Marina Georgati, Henning Sten Hansen and Carsten Keßler
Population growth in urban centres and the intensification of segregation phenomena associated with international mobility require improved urban planning and decision-making. More effective planning in turn requires better analysis and geospatial modell...
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Mateo Cano-Solis, John R. Ballesteros and German Sanchez-Torres
Vegetation encroachment in power line corridors remains a major challenge for modern energy-dependent societies, as it can cause power outages and lead to significant financial losses. Unmanned Aerial Vehicles (UAVs) have emerged as a promising solution ...
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Hao Sun, Shu Wang, Yunqiang Zhu, Wen Yuan and Zhiqiang Zou
In the era of GeoAI, Geospatial Intelligent Question Answering (GeoIQA) represents the ultimate pursuit for everyone. Even generative AI systems like ChatGPT-4 struggle to handle complex GeoIQA. GeoIQA is domain complex IQA, which aims at understanding a...
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Wenwen Li and Chia-Yu Hsu
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for spatial analytics in Geography. Although much progress has been made in exploring the integration of AI and Geography, there is yet no clear definition of GeoA...
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John R. Ballesteros, German Sanchez-Torres and John W. Branch-Bedoya
Drone imagery is becoming the main source of overhead information to support decisions in many different fields, especially with deep learning integration. Datasets to train object detection and semantic segmentation models to solve geospatial data analy...
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Marianna Farmakis-Serebryakova, Magnus Heitzler and Lorenz Hurni
Since landforms composing land surface vary in their properties and appearance, their shaded reliefs also present different visual impression of the terrain. In this work, we adapt a U-Net so that it can recognize a selection of landforms and can segment...
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Serdar Kizilkaya, Ugur Alganci and Elif Sertel
The classification of maritime boats and ship targets using optical satellite imagery is a challenging subject. This research introduces a unique and rich ship dataset named Very High-Resolution Ships (VHRShips) from Google Earth images, which includes d...
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Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook and Qingfeng Guan
The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in...
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Chidubem Iddianozie and Gavin McArdle
Graph Neural Networks (GNNs) have received wide acclaim in recent times due to their performance on inference tasks for unstructured data. Typically, GNNs operate by exploiting local structural information in graphs and disregarding their global structur...
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