There is a wide range of modern tools contributing to the geographic mapping and analysis of the earth and human societies and is known as Geospatial technology. In term of definition, geospatial technology is anything that enables the creation, management, analysis and visualization of Geospatial data. This technology is mainly used alongside the following technology or we can say that they are the drivers of Geospatial Technology.
- Internet of Things: IoT is fundamentally about inconnected devices through the internet or other mediums like Bluetooth or Wi-Fi. But the true value of IoT doesn’t lie in the tons of data it generates and stores but is actually in that data’s analysis. Needless to say, it is the next-generation market opportunity which drives Geospatial technology with its ability to offer real-time location.
- Artificial Intelligence (AI): AI encompasses various technologies including Data Analysis, machine learning, neural networks, deep learning, knowledge discovery etc and they all have a common thread, i.e. how to mimic human faculties including their thoughts, reasoning or visions. With Geospatial technology, one of the accepted methods of categorization of sensed data for the mapping is carried out using AI technology, specifically known as Neural Networks. Companies are taking it forward by involving Deep Learning to process large volumes of satellite imagery to identify objects and patterns.
- Cloud Computing: Emergence of cloud computing is offering a great platform for the evolution of Big Data Analytics for geospatial data with an elastic, on-demand computing platform to integrate. Considering the fact that big IT companies like Microsoft, Amazon,and Google are investing heavily in Web keeping distribution and analysis of geospatial technology in mind.
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