What is geospatial intelligence? A geographer explains the powerful melding of maps and data

With record-breaking temperatures across the South, smoke from Canadian wildfires across the North, historic flooding in the Northeast and a powerful hurricane in the Southeast, the summer of 2023 has presented a range of threats to the safety of the majority of Americans.

The good news, through all of this: Geospatial intelligence has offered valuable insights to help governments and organizations protect communities.

Geospatial intelligence is the collection and integration of data from a network of technologies, including satellites, mobile sensors, ground-control stations and aerial images. The data is used to produce real-time maps and simulations to help identify when, where and to what extent a threat is likely to emerge. Government officials, individuals or both can use this information to make informed decisions.

Disasters sudden and slow

One long-standing contribution of geospatial intelligence is in emergency preparedness and response. For example, the National Hurricane Center actively monitors the location, formation and trajectory of tropical cyclones. Detailed information on the timing, location and strength of a given hurricane helps officials distribute resources and personnel, as well as issue storm warnings and evacuation orders.

Geospatial intelligence also provides valuable guidance for search-and-rescue and recovery efforts following a disaster. For example, in the immediate aftermath of the February 2023 7.8 magnitude earthquake that struck Turkey and Syria, maps and aerial images quickly identified the extent of damage and the populations affected. In addition, they helped first responders locate access points in the transportation network to rescue survivors, set up aid stations and provide emergency supplies.

The Environmental Protection Agency publishes air quality maps that are particularly useful when smoke from wildfires spreads across large parts of the U.S. EPA

Another use of geospatial intelligence is environmental monitoring. A stable environment is essential for human health and security. Monitoring temperature, precipitation, snowpack and polar ice helps scientists and government officials anticipate and prepare for potential disturbances.

For instance, understanding temperature profiles – past, current and forecasted temperatures over an area – provides information on when, where and to what extent that area is likely to be affected by events such as heat waves. Heat waves often result in human suffering, increased energy demands and crop damage. With climate change intensifying extreme weather events, there is likely to be a corresponding increase in threats to human safety and security.

Military and civilian logistics

The Russian-Ukraine war is another area where geospatial intelligence has made contributions. Maxar Technologies, a commercial satellite imagery company, was the first to report the 40-mile-long convoy of Russian ground forces heading toward Kyiv in February 2022.

While governments historically could choose whether to release intelligence-related information, commercial satellite companies now play a vital role in providing this type of information to the public. In this way, geospatial intelligence represents an extension of the free press.

Geospatial intelligence is a key component of open-source intelligence, which in turn has played a key role in monitoring the war in Ukraine.

Another use of geospatial intelligence is in transportation, logistics and global supply chains. The global economy runs on GPS, which generates spatial data. GPS provides governments, businesses and people with detailed information on the time, location and destination of ships and cargo. This leads to greater efficiency and more consistent and reliable operations.

Geospatial intelligence is also helping with the rollout of autonomous vehicles. Using high-resolution imagery of about a foot (30 cm) per pixel, city planners and engineers are able to detect markings and features on the ground such as bicycle lanes and traffic direction. These advances help planners build safer, smarter, more efficient and better connected communities.

Yet another use of geospatial intelligence is contributing to the development, implementation and evaluation of digital twins. Digital twins are virtual representations of real systems – buildings or cities, for example – that mimic the systems’ characteristics and can be updated in real time to reflect changing conditions in the systems.

Digital twins are being used in many civilian and military settings to improve decision making. They are useful for modeling changes and predicting outcomes. Digital twins have been highly effective in conflict settings by simulating weather and terrain to help militaries and peacekeepers develop and enact strategies.

Growing need

The need for geospatial intelligence is more important than ever. Average temperature is projected to increase between 2 to 9.7 degrees Fahrenheit (1.1 to 5.4 degrees Celsius) by the end of the century. The global population is expected to reach 11 billion by 2100, and urban areas are becoming denser and more prone to disasters. Whether reconstructing the past, describing the present or anticipating the future, geospatial intelligence provides valuable information to help keep people and communities safe.

Not surprisingly, the geospatial intelligence industry is projected to grow from a US$61 billion enterprise in 2020 to more than $209 billion in 2030. The world is rapidly transforming, and geospatial intelligence is positioned to play an increasingly important role in working toward a safe, stable and informed future.

Darren Ruddell, Associate Professor of Spatial Sciences, University of Southern California

This article is republished from The Conversation under a Creative Commons license. Read the original article.