Results 101 to 110 of about 1,791 (210)
Applied SciencesThe development of Geospatial Artificial Intelligence (GeoAI), combining deep learning and remote sensing imagery, is of great interest for automated spatial inference and decision-making support.
Yueying Zhu +9 more
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, 2023 Passenger clustering based on trajectory records is essential for transportation operators. However, existing methods cannot easily cluster the passengers due to the hierarchical structure of the passenger trip information, including multiple trips ...
Ketter, Wolfgang +5 more
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Evaluating GeoAI-Generated Data for Maintaining VGI Maps
LandGeospatial Artificial Intelligence (GeoAI) offers a scalable solution for automating the generation and updating of volunteered geographic information (VGI) maps—addressing the limitations of manual contributions to crowd-source mapping platforms such as
Lasith Niroshan, James D. Carswell
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAI-powered mapping technologies are uniquely positioned to address the challenges of keeping online maps up-to-date in dynamic urban environments. Modern geospatial artificial intelligence (GeoAI) approaches, particularly those utilizing advanced deep ...
Lasith Niroshan, James D. Carswell
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Identifying opportunities for integrating STEM and GeoAI technologies into geographic education
Frontiers in EducationSTEM (Science, Technology, Engineering, and Mathematics) competencies are becoming increasingly important for geography education in the context of digital transformation and the growing use of artificial intelligence (AI).
Shakhislam Laiskhanov, Yerkegul Seminar
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Pemanfaatan Teknologi Penginderaan Jauh Pada Geospatial Intelligence Dalam Mencegah Illegal Fishing Untuk Menciptakan Keamanan di Wilayah Perairan Indonesia [PDF]
Technology has become a necessity in the modern era. The use of remote sensing technology in geospatial intelligence can be an effective solution to detect and prevent illegal fishing activities in Indonesia's maritime areas. This study uses a literature
Haloho, Luwis Surani +3 more
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GeoAI for Land Use Observations, Analysis, and Forecasting
LandGeographic artificial intelligence (GeoAI) is reshaping how we observe, understand, and govern land systems [...]
Wenfeng Zheng, Kenan Li, Xuan Liu
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“GEOAI Machinist”: A Serious Game to Teach the Application of Convolutional Neural Networks to Land Use and Land Cover Classification [PDF]
Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesThe rapid growth of the Earth Observation (EO) sector due to advances in technologies such as big data and artificial ...
Rodrigues, Rebeca Nunes
core
Urban ScienceUrban mobility is a central challenge for sustainable and inclusive cities, as climate change, congestion, and spatial inequality increasingly reveal mobility patterns as expressions of deeper social and spatial structures.
Atakilti Kiros +3 more
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Exploring geo-transferability of deep neural network by developing comprehensive metrics
Geo-spatial Information ScienceGeo-transferability is an important but challenging dimension of the generalizability of GeoAI models because of the inherent geographic heterogeneity.
Junxian Yu +6 more
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