The UAE geospatial analytics market is segmented by type (surface analysis, network analysis, geovisualization) , by end user vertical (agriculture, utility and communication, defence and intelligence, government, mining and natural resources, automotive and transportation, healthcare, real estate and con...
What major progress has been made in recent years regarding the collection, analysis and processing of geodetic data, and what developments are yet to come? I work closely with our R&D teams on a regular basis across hardware, software and workflows. Based on the advancement...
GeoAI data-driven research and data mining are increasingly used to gain information from data, elucidate systems behavior, reveal new insights about the system functioning, and detect change in the system responses [17]. There are several examples of GeoAI applications in hydrological modeling [91,...
Moreover, raster data seamlessly integrates with machine learning and AI tools, enabling the extraction of actionable insights for applications such as land-use analysis, disaster management, and infrastructure development. Its integration with contemporary geographic information systems (GIS) and the ...
The elements of statistical learning: data mining, inference, and prediction, Vol. 2. Springer; 2009. Bishop CM. Neural networks and their applications. Rev Sci Instrum. 1994;65:1803–32. Article Google Scholar LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521:436–44. ...
The final suitability map was derived from the integration of the mining parameters as spatial information into the algorithm. The findings indicate that, even though the land use suitability analysis could be derived from a mathematical model, the integration of qualitative information related to the...
significantly boosting the efficiency and accuracy of geospatial analysis. One key factor fueling this demand is the increasing volume of geospatial data from satellites, drones, and IoT devices, which is difficult to process using traditional methods. AI-based GIS solutions, particularly those utilizing...
mining, oil & gas, energy & utilities, and government. Its field-based technologies include handheld mobile, airborne applications, and other technologies such as mobile application software, high-precision GNSS, robotic measurement systems, inertial positioning, 3D laser scanning, digital imaging, optic...
local deployment. It provides AI 3D data processing and analysis, AI remote sensing image processing, AI spatial analysis, AI image and video analysis, AI image generation, AI knowledge generation, and geospatial intelligent agents, enhancing SuperMap’s platform software ...
provides a valuable tool for understanding the spatial distribution of LST as well as mapping hot spots that experienced the highest level of urban heat stress. This tool also supports the analysis of mitigation measures for regulating temperature and reducing the impacts of the urban heat island ef...