Integration of geospatial data with cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), the Internet of Things (IoT), and cloud computing is not merely an enhancement but a necessary evolution to meet the increasing demands of our complex world.
The challenges we face today—ranging from climate change to urban planning—demand multi-faceted solutions. Integration is essential, not only among various technological paradigms but also across different types of data and information.
For instance, the synergy between GNSS location data, IoT sensors, high-resolution digital maps, and cloud technologies exemplifies the kind of integrated solutions required to meet the sophisticated expectations of smart city users today. This integration extends to combining diverse data types such as terrestrial, marine, cadastre, atmospheric, and biodiversity.
Under the United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM), experts in land administration data are tasked with developing a framework for this integration.
One of the most compelling illustrations of this integrated approach is the concept of Digital Twin, which amalgamates 2D and 3D geospatial data, IoT sensor data, and real-time analytics into a cohesive digital representation of the physical world.
This integration facilitates the creation of sophisticated models that can predict, visualize, and manage complex phenomena, offering solutions to problems ranging from urban planning to environmental conservation.
Comprehensive Ecosystem
For geospatial information technology to realize its full potential, a comprehensive and innovative ecosystem is imperative. This involves not only the integration of data and technology but also a concerted effort towards fostering innovation in data processing, visualization, and application.
The transition to a geospatial knowledge infrastructure is already underway in several countries, including Singapore, where the emphasis is on deriving actionable insights from geospatial data to inform decision-making across various sectors.0 To achieve this, collaboration among stakeholders is crucial.
This includes collaboration between data providers, technology developers, and end-users across different sectors such as climate crisis management, sustainability, smart cities, and beyond. Additionally, the exploration of new frontiers such as the metaverse presents an opportunity for geospatial to provide even more immersive and realistic representations of the Digital Twin.
It further enhances our ability to interact with and understand complex data in a spatial context.
Sustainable Transition
As we look towards the future, the role of geospatial information in facilitating a sustainable transition cannot be overstated. The adoption of cloud computing offers a pathway to handle the ever-increasing volume and variety of geospatial data more efficiently, enabling real-time insights and collaborative problem-solving.
Location information and cloud environment stand as a catalyst for fostering collaboration and bridging divides through shared frameworks and objectives, such as those outlined by the United Nations. The sustainable development goals of the UN are also a platform where different nations have a common objective. Geospatial Information is a key enabler here.
Common Framework
It is imperative that a strong geospatial information management framework be present globally as well as nationally. This ensures the availability of quality geospatial data, which can be used as an enabler to tackle environmental and climate change issues.
The future of geospatial domain is intrinsically linked to its ability to integrate with emerging technologies, foster innovative ecosystems, and contribute to sustainable development. Strategic application of geospatial data and technology will be paramount in crafting solutions that are not only effective but also equitable and sustainable.
Disclaimer: Views Expressed are Author's Own. Geospatial World May or May Not Endorse it
