Geospatial technology plays a vital role in matters that affect national security, as the professionals working for defense intelligence can now make use of data sharing to their advantage with allies and other branches.
With the ability to acquire and process remotely sensed data over any region at any time, governments globally rely on surveillance and monitoring for national security. Geospatial data when fused with location intelligence data and analytics provides actionable intelligence for decision making. Geospatial technology utilizes artificial intelligence (AI) and machine learning (ML) to process large amount of data and provide quick results for decision making. For example, SAR sensors can see through clouds and can identify and classify ships for maritime security. Ultimately geospatial systems allow defense entities to gain valuable battlespace situational awareness more rapidly and precisely.
The panel will discuss the latest advances in geospatial technology and methods that will directly impact national security and defense surveillance over land, ocean and air.
Geospatial data and analytics continue to solve problems and provide immediate solutions to the supply chain and logistics sectors. Location intelligence is critical for distribution centres and for example Walmart has efficiently used geospatial data to optimize their supply chain. With the availability of vast amounts of remote sensing data and mobility data, it has become easier to employ machine-learning algorithms and geospatial analytics to optimize deliveries and transportation at any given time. Food and pharmaceuticals require refrigerated trucking, and every minute delay can result in wastage which translates to huge economic losses. Whether it is shipping, Mining, Automotive, Pharmaceuticals, Refineries, Financial industry or the retail sector, geospatial data and location intelligence continues to provide better solutions. The panel will discuss the current state of the art and applications in geospatial data for solving problems in commerce and supply chain logistics.
With abundance of geospatial data now available from a variety of earth-observation sources and collection methods, it is important and critical to have seamless workflows and analytics for end-users to get quick answers. Cloud computing and serverless processing paradigms are now being leveraged by using open standards within the geospatial community. The panel will focus on new Open Geospatial Consortium (OGC) Application Programming Interface (API) processes and specification-based web services that will potentially provide interoperability with other geospatial applications and with the anticipation that it will be more commonly used in the future.
The panel will discuss new methods and geospatial analysis software that fuses location analytics with open data science and business intelligence workflows. The panel hopefully will answer questions you didn’t know to ask, help analyze data completely, and unlock new insights. The idea is to empower analysts of all and any skill level to directly connect data, perform advanced analytics, and take results into third-party systems. The panel will provide a platform for discussions on cutting-edge analytics that employ spatial, predictive and statistical methods in geospatial technologies.
Generative AI enables users to quickly generate new content based on a variety of inputs. Inputs and outputs to these models can include text, images, sounds, animation, 3D models, or other types of data.
From a geospatial data perspective generative AI can help in quick text generation to Image Segmentation. This is especially useful when processing gigabytes of data from multispectral and hyperspectral satellite sensors.
The panel will discuss the state of art technological advances in using generative AI in geospatial applications. AI technologies are increasingly being integrated with the geospatial world. Tools like ChatGPT are being used to increase the efficiency of geospatial data analysis, such as generating geospatial data on the fly, solving geospatial problems, or creating code for geospatial analysis. Because generative AI models use neural networks, they can be readily adopted and trained to identify new patterns and output new results. One of the breakthroughs we think with generative AI models is the ability to leverage different learning approaches, including unsupervised or semi-supervised learning for training and this is important for the future of geospatial data processing.
A Geospatial Digital Twin is a one-to-one digital representation of a real-world environment, which can be updated with real-time spatial insights. The panel will discuss the latest applications in digital twin technology as it applies to geospatial insights. The next advance level in geospatial applications is metaverse which is the next iteration of the internet and provides an immersive and persistent 3D virtual space for interacting with the physical world. Digital twins and Metaverse can provide a model of the existing physical asset or building to accurately model the risk to their networks and other surrounding infrastructure. This is achieved by creating a highly accurate 3D model of the network and then combining that with other organizational data sets. Digital twins allow quick decision making and major metros around the world have started using such data for monitoring energy consumption, traffic flow, and even help plan new developments. Smart cities are fast becoming a reality, providing an excellent way to reduce pollution and increase the wellbeing of residents. The panel will discuss some of these geospatial applications and use-cases.
This session provides focus on Geospatial applications for utilities and includes the cutting-edge tools and services that address this area.
Utilities have been market leaders in taking advantage of cutting-edge technologies to reduce the risk of vegetation encroachment, service disruptions, and wildfires. Presentations and discussions will focus on Electric utilities, Grid modernization, Emergency management, Field operations, Business Intelligence, Digital Twin and Network mapping. New and cutting-edge geospatial topics will be discussed that will address 3D models, LiDAR point Cloud data, and HD Mapping that will help Utilities organize their data and network with surrounding infrastructure to better serve and monitor cities and urban areas for smooth operations and better response during emergencies such as wildfires, floods, hurricanes and tornadoes.
The demand of Earth Observation (EO) data and the need to study and monitor changes on the earth have led to the increase in launch of small and cost-effective satellite missions globally. Small satellites can be quickly designed and managed using relatively inexpensive commercial off-the-shelf technologies. For example, the commercial company SpaceX (Falcon-9) used Transporter-8 a dedicated smallsat "rideshare" mission to carry 72 payloads and successfully launch them. This provides economy of scale for satellite launches and this approach is bound to increase. Recent launch of satellites with Synthetic Aperture Radar (SAR), Hyperspectral, and Thermal Infrared (TIR) sensors have added to increased earth and maritime sensing capabilities and have widened the range of applications. This panel will discuss recent advances in new sensors and their geospatial data applications to monitor the earth, ocean, and atmosphere.