Geospatial technologies such as geographic information systems, satellite imagery, and global navigation satellite systems will continue to evolve in the future. The transition we foresee is multifaceted with the increased integration of different data sources such as drones and Internet of Things (IoT) devices.
Geospatial technologies will likely become more adept at integrating and analyzing multiple data sources to provide greater accuracy and details with higher reliability.
In addition, the more widespread use of 3D modeling becomes common in geospatial, as it allows for a more realistic representation of the built and natural environment.
The use of AR and VR will also contribute to this by providing more immersive experiences and supporting decision making in areas such as urban planning, emergency response, and environmental management.
Key Trends
We anticipate an increasing use of 3D data models in geospatial applications, and this trend is expected to continue into 2023 and further. Capturing 3D reality supports various applications such as urban planning, construction, autonomous navigation, and smart farming.
The use of remote sensing data such as drone photogrammetry or LIDAR scanning will continue to grow, providing high-resolution, high-accuracy geospatial data, offering better insight and timely updating of assets in the field.
The integration of Machine Learning and advanced algorithms will be used in tasks such as image analysis, feature extraction, data processing and decision making to cope with the increasing amount of data being generated and collected.
More advanced geospatial analysis techniques for extracting valuable information are also part of CHC Navigation’s R&D efforts. Progress in sensor technology has led to the development of higher resolution and more accurate imagery, which has made 3D geospatial modeling more valuable for a wide range of applications.
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Market Shift
In the industry, there is a shift to subscription-based models, but we have seen mixed feelings, as well as some reluctance from customers. Rather than selling software and hardware, some companies are moving to offering their products and services on a subscription basis wherein customers pay for access on a recurring basis, rather than making an initial investment.
The transition we foresee is multifaceted with the increased integration of different data sources such as drones and Internet of Things (IoT) devices
On the other hand, such business model changes are driven by the growth of cloud computing, which makes it easier and cost-effective to deliver software applications, as well as the growing demand for location-based services.
CHCNAV sees this transition as new opportunities for growth and innovation with the need for flexible and cost-effective options for its customers.
As technology progresses, the demand for end-to-end solutions is evident. Many of our customers are looking for complete solutions that address their specific needs or problems as a whole, rather than just a single service. This saves them time and money by not having to mix and match different hardware and services from different vendors.
One example is the current trend for comprehensive data acquisition of waterways involving the combination of various platforms such as USV for bathymetric data, terrestrial LiDAR for riverbanks, and drone photogrammetry for 3D models of surrounding areas.
(George Zhao is the CEO of CHC Navigation. The views expressed in the article are the personal opinions of the author.)
Disclaimer: Views Expressed are Author's Own. Geospatial World May or May Not Endorse it
