Geographic science and technology are undergoing a revolution that is changing every facet of the US economy and government for the betterment of both the US and the rest of the world.
The National Geospatial Advisory Committee (NGAC) recently released a report that identified new and emerging technologies that will become more important to federal agencies and the larger geospatial community over the coming ten years.
The report, Emerging Technologies and the Geospatial Landscape, looks at five broad technological developments that will influence future geospatial development first. The following section covers specific new technologies in the following five key GIS and geospatial activities: data generation and collection, data analytics, infrastructure, access, and workforce.
New geospatial development is driven by five technological trends.
Five technological trends have been identified by the NGAC as supporting, organizing, and accelerating the development of geospatial technologies. Those are:
- The Real-Time Revolution
The ability to continually create and engage in real time with this data is a relatively new phenomenon, despite the fact that real-time spatiotemporal data is now virtually universally generated and its uses in research and commerce are broad and rapidly expanding.
In several allied geospatial domains, including geography, cartography, GIScience, and others, this breakthrough is acting as a major change agent. Traditional linkages and structures are being fundamentally realigned, research horizons are being expanded, and the methods by which geographic data is currently gathered, mapped, modelled, and applied in geography, science, and society at large are all being drastically changed.
The instantaneous interplay between location and time is still the driving force behind the current proliferation of fused spatiotemporal data, fresh geographic research projects, and countless mobile geospatial applications in enterprises, governments, and academia.
2. Technology miniaturization
The ability to produce small, frequently low-cost devices and sensors with wireless connectivity is what is causing the Internet of Things to explode (IoT). Increases in what, when, where, and how much data are collected as a result of smaller, less expensive sensors are accompanied by, and maybe more crucially, the capacity to adjust the sensor to the precise data gathering required.
3. The spread of new mobile platforms for geospatial sensors
The ability to quickly develop and deploy unmanned aircraft systems (or drones) with orbits or flight paths specific to the mission, such as small satellites (smallsats), has made it possible to investigate novel modalities for sensor dissemination.
The capacity of people, organizations, and governments to gather large amounts of remotely sensed data for a variety of vital reasons, such as disaster response, environmental monitoring, and public safety, has significantly increased thanks to these mobile geospatial sensor systems.
4.Web and wireless network expansion
Improved data transmission and geospatial data distribution to end users are becoming increasingly in demand. Faster and wider wireless and online networks are starting to fulfill this demand, in part.
The foundation is being laid for governments and citizens all across the world to share and utilize spatiotemporal data more widely, especially for real-time apps.
5. Technological Developments for Geospatial Research and Apps
Governments and other organizations now have access to high-performance computing networks (such as CyberGIS) and cloud computing services (such as cloud GIS), which make it easier and faster for them to access and contribute to the expanding repositories of geospatial data, tools, and services.
The Evolving Geospatial Environment
In five key areas of GIS and geospatial activity, the technologies resulting from these developments are changing the geospatial world, according to NGAC. Which are:
Data Gathering and Production
Included in this are technologies that make it possible to collect and analyse spatial and spatiotemporal data as well as those that create new data kinds and have other significant effects on how data is delivered and used. The consequences on real-time data collection and use, data confidentiality and privacy, and the large datasets produced by these new technologies are all affected.
Analytics of Data
This includes cutting-edge tools or techniques that enable the analysis of massive and tiny data, multidimensional data, and spatiotemporal data. Systems for autonomous and human-guided machine learning are among the emerging technologies.
To facilitate data collection, processing, storage, and exchange, as well as the defense of these systems, new frameworks are required.
Accessibility advances have made it easier for technology and data to spread recently (via modifications in wireless systems and Internet use, for example). These modifications have an impact on who has access to new technology and data, how we use these better tools, and how we safeguard private data.