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China finishing “High-precision Ground-based Timing System” – a worry for the United States

Two recent announcements showed China’s progress establishing its national “High-Precision Ground-based Timing System.” Some verbiage in the most recent announcement could indicate that the system is nearing completion.

The timing system is designed to support a vast array of scientific and technological applications as well as provide services when space-based signals are not available.

According to some Western observers, it is another example of China’s increasing lead over the United States in positioning, navigation, and timing (PNT) technology.

Its BeiDou satellite PNT system is newer and has been acknowledged superior in many ways to the U.S. Global Positioning System (GPS). This has allowed China to gain influence in some parts of the world at the expense of the United States.

Completion of the terrestrial system could have even more troubling implications for the United States.

Recent Announcements

On May 21 this year, a government affairs article in Shaanxi’s “The Paper” announced accelerated construction in Xi’an of a science center. Its centerpiece will be the country’s High-precision Ground-based Timing System. It is not entirely clear from the article whether this site will be the engineering and administrative headquarters for the system, or one of several “timing stations.”

The article also says the national system will be the largest in the world — with more than 20,000 kilometers of optical fiber and 295 time and frequency transmission sites — and will integrate space- and ground-based signals.

The network, according to the article, will supplement and improve the new eLoran (sometimes mistranslated by software as “Roland”) system in the western portion of the country. It will also support legacy eLoran “long-wave” signals in the east ensuring that the entire nation is well served.

Graphic from 2014 Chinese Academy of Sciences paper on Laron showing projected coverage in the western part of the country. Subsequent papers and announcements have indicated that western part of the network is complete or soon will be. (Image: Chinese Academy of Sciences)

Graphic from 2014 Chinese Academy of Sciences paper on Laron showing projected coverage in the western part of the country. Subsequent papers and announcements have indicated that western part of the network is complete or soon will be. (Image: Chinese Academy of Sciences)

Accuracy for the system’s fiber-optic transmissions is claimed to be less than 100 pico-seconds, with differential eLoran at less than 100 nanoseconds.

Experts in the West have confirmed that both these goals are achievable. Europe’s CERN laboratory has demonstrated picosecond level via fiber, and UK trials have shown the accuracy of differential eLoran to be within 50 nanoseconds.

Construction recently announced in Xi'an and Nagqu as part of China's High-precision Ground-based Timing System.

Construction recently announced in Xi’an and Nagqu as part of China’s High-precision Ground-based Timing System.

A much shorter press release was issued on June 8, announcing groundbreaking for a “timing station” in Nagqu on the Tibetan plateau in China’s west. The announcement said that, once the station was complete, China will “…realize national soil coverage of long-wave [eLoran] timing signals…”

Expansion of its eLoran and fiber infrastructure to serve the entire nation gives China what some have called the “PNT resilience triad” — signals from space, from terrestrial broadcast, and over fiber. The three sources of delivery are sufficiently different that an accidental or malicious disruption of one is highly unlikely to impact the other ones. Users accessing all three should experience minimal to no impact.

Both the May and June announcements said that finishing the timing project will benefit China’s national economy and national security.

Timing is essential tech infrastructure. More precise and robust timing enables improvements to current applications and the creation of new ones. For example, better timing can enable greater spectrum efficiency with more throughput on existing frequency bands. Highly precise fiber-based timing could also support using 5G telecommunications networks for hyper-precise positioning in autonomy corridors serving self-driving vehicles, UAVs, and other systems.

China’s ground-based timing system is part of a larger plan by its National Timing Service Center for a system of systems approach to PNT. Described as a “comprehensive approach” at the Standford PNT Symposium in 2019, the architecture has satellite-based navigation at its heart and includes a wide variety of other capabilities.

Graphic showing China's plan for multiple, mutually supporting, diverse methods of positioning, navigation, and timing service and data. (Presentation by China's National Time Service Center at 2019 Standford PNT Symposium)

Graphic showing China’s plan for multiple, mutually supporting, diverse methods of positioning, navigation, and timing service and data. (Presentation by China’s National Time Service Center at 2019 Standford PNT Symposium)

Some observers trace China’s national PNT efforts to an incident in 1996 during the Third Taiwan Strait Crisis. Chinese forces fired three missiles toward a point in the sea offshore of Tiawan’s Kee Lung naval base. Two of the missiles were lost. According to the People’s Liberation Army this was because the United States denied or altered GPS signals that the missiles were using for guidance.

Known by China’s military as “The Unforgettable Humiliation” the incident sparked decades of effort to ensure China would never again be dependent upon another nation or space for PNT. The BeiDou global navigation satellite system and the High-precision Gound-based Timing System are the two most noteworthy accomplishments in this regard.

Implications for the United States

China’s ever-increasing lead in essential PNT technology and infrastructure is of great concern to many in the United States.

China’s global navigation satellite system, Bei Dou, is newer and, according to a presidential advisory board, substantially superior to GPS in many ways. Using it as an instrument of “soft power,” China is offering other nations BeiDou signals, along with discounted user and support equipment, as part of its Belt and Road, and Digital Silk Road initiatives. Where successful, these efforts erode both GPS usage and U.S. influence.

Of greater concern to many are the “hard power” implications of China’s PNT dominance.

While China has and continues to develop multiple and resilient sources of PNT, in the United States “GPS is still a single point of failure,” according to a member of the National Security Council.

As a result, if China were to interfere with GPS in some way, a U.S. response in-kind against BeiDou would have much less impact. This strategic asymmetry has been described by former CIA senior analyst George Beebe as “an open invitation” for mischief or attack. One that could easily lead to an escalating series of responses ending in an armed conflict no one wants.

At a more tactical level, China’s eLoran system extends 1,000 miles offshore covering Taiwan, the Strait, and all approaches. In a conflict to capture the island and make it subject to the Communist regime, China could block all signals from space while preserving its forces’ ability to maneuver and communicate. Already at a disadvantage having to deploy far from their support bases, this would further hamper U.S., Japanese, and other forces hoping to help Taiwan maintain its independence.

The U.S. Department of Defense boasts it can operate well in GPS-denied environments and says it is also working on alternative means of navigation for deployed forces.

This begs the strategic question, though, of whether the United States would be willing to come to the aid of Taiwan or another ally if the homeland were threatened with a prolonged and crippling disruption of GPS services.

Prior to Russia’s invasion of Ukraine, the Kremlin destroyed a defunct satellite and boasted it would shoot down all 32 GPS satellites and “blind NATO” if the alliance intervened. Many observers have wondered whether that has played into subsequent U.S. and NATO policy toward the conflict.

Unfortunately, little has been done to eliminate the possibility of a belligerent adversary holding the U.S. homeland hostage through GPS.

For two decades narrow government and industry interests in GPS production have successfully opposed any effort they see as possibly “competing” for space in limited budgets. Appeals that such projects would increase system security by “taking the bullseye off” GPS satellites and signals have been to no avail.

However, this may be changing. Several years ago the National Guard began development of a national timing architecture and network, called NITRO. The project supports the Guard’s own requirements to be able to operate without GPS and to aid state first responders. It is already in use in 7 states.

The future of NITRO is unclear, though, as the Department of Defense sees it as a civil defense rather than a national defense project and is no longer supporting it in the budget. Yet, the National Guard’s funding flows through defense appropriations.

As of this writing, the National Guard and NITRO remain stuck in a bureaucratic and budgetary no-man’s land with no clear path forward.

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Qualcomm, Hyundai partner for PBV infotainment

Image: Hyundai Motor Group

Image: Hyundai Motor Group

Qualcomm has entered a technology agreement with Hyundai Motor Group to integrate its Snapdragon Automotive Cockpit Platform into Hyundai Motor Group’s purpose-built vehicles (PBV).

The infotainment systems on the PBVs will use Snapdragon Automotive Cockpit Platforms for a “holistic, seamlessly connected and smart user experience,” Qualcomm said.

The PBVs are designed to deliver transportation, comfort, logistics, commercial and healthcare services. The latest generation of Qualcomm’s Snapdragon platform benefits from optimized power consumption, high-definition graphics and immersive multimedia and audio.

According to Qualcomm, the latest generation of Snapdragon Automotive Cockpit Platforms offer optimal power consumption while providing top-tier graphics as well as top immersive multimedia and audio experiences.

The platforms offer location services, emergency calling, noise reduction, and dual SIM capability as well as cloud-based monitoring and management systems. Using Qualcomm’s artificial intelligence (AI) engine and machine learning (ML) capabilities for intuitive and intelligent systems, Snapdragon can support digitally advanced applications, including in-vehicle virtual assistance and adaptive human interfaces. It can also facilitate natural communication between the vehicle and passengers for added safety and comfort.

The platform also employs dynamic configuration management to ensure vehicles are kept up to date. Reliable cloud-based vehicle monitoring and management also is possible through cloud service solutions.

Qualcomm and Hyundai Motor Group have been collaborating since 2011 on in-vehicle mobile communications using Snapdragon Automotive Connectivity Platforms.

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Research roundup: GNSS in urban canyons

Image: Predrag Vuckovic/E+/Getty Images

Image: Predrag Vuckovic/E+/Getty Images

GNSS researchers presented hundreds of papers at the 2022 Institute of Navigation (ION) GNSS+ conference, which took place Sept. 19-23, 2022, in Denver, Colorado, and virtually. The following four papers focused on the use of GNSS in urban environments. The papers are available here.

GPS World will be attending this year’s ION conference in Denver, Colorado, on Sept. 11-15.

FGO-based GNSS/INS integration improves performance in urban canyons in Hong Kong

The integration of GNSS and inertial navigation systems (INS) has the potential to improve performance due to their complementariness. In this paper, the authors investigated positioning based on the integration of GNSS and INS using factor graph optimization (FGO). This ultimately showed improved performance in urban canyons in Hong Kong. The effectiveness of the proposed method was verified using challenging datasets collected using two automobile-level GNSS receivers in the urban canyons of Hong Kong.

For the experiment conducted in this paper, only the GNSS pseudorange measurement was utilized in the existing FGO-based GNSS/INS integration. The overall potential of the Doppler frequency and carrier-phase measurements has yet to be explored by the authors. To fill this gap, the authors proposed a tightly coupled GNSS/INS integration, using FGO, by exploiting the potential of diverse raw GNSS measurements. The GNSS pseudorange, Doppler frequency, and time-differenced carrier-phase measurements were integrated with the INS, using FGO.

The authors believe the improved performance using FGO-based GNSS/INS integration positioning was due to the global optimization property and the increased measurement redundancy of FGO, compared with the method based on extended Kalman filtering.

Weisong, Hsu; “Factor Graph Optimization for Tightly-Coupled GNSS Pseudorange/Doppler/Carrier Phase/INS Integration: Performance in Urban Canyons of Hong Kong.”

3D mapping in urban environments aided by surround mask GNSS/lidar SLAM

Automatic driving with coupled GNSS/INS and lidar sensors has been implemented in many urban environments successfully over the years. However, this technology is still prone to errors. These potential errors are especially evident in challenging environments, such as urban canyons with several moving objects and building layouts that provide unexpected and abnormal features for lidar sensors and multi-path for GNSS signals.

To address these error challenges in urban environments, the authors of this paper proposed a surround mask that explores error sources from surrounding environments, which could subsequently improve the performance of an integrated mapping system. The surround mask in this experiment extracted a two-layer factor, including non-line-of-sight detection and static objects detection, to collectively compensate for the specific drawbacks of the lidar-based SLAM and the navigation system.

The authors explain that the surround mask eliminated the need to apply complex post-processing to eliminate the accumulated error for each observing unit.

The experimental results demonstrated that the proposed surround mask detected the represented error sources in the local coordinate and provided environment-awareness information for the integrated mapping system.

Ai, Luo, El-Sheimy; “Surround Mask Aiding GNSS/LiDAR SLAM for 3D Mapping in the Dense Urban Environment.”

Novel process noise model helps GNSS Kalman filter degradation in busy cities

Improving the accuracy of GNSS positioning in urban environments is difficult, especially when using low-cost GNSS receivers. In this paper, the authors showed that if the process noise covariance is turned up in a “naïve” manner for poor satellite geometry, the estimation-error covariance could become unintentionally large in a certain direction.

The unintentional inflation of estimation-error covariance could cause the degradation of accuracy. The authors also proposed a fictitious process noise covariance based on an extension of a novel process noise model, which was proposed in their previous work.

The authors stated that in Kalman filter for GNSS positioning, the process noise covariance is often bumped up to avoid the filter divergence in the presence of unknown model errors, by assuming there is a fictitious process noise in addition to the nominal process noise. In this study, the fictitious noise covariance is determined based on the observation matrix, step-by-step, and it reduced the estimation errors without causing the unintentional inflation of estimation-error covariance.

The effectiveness of the derived process noise model is demonstrated for the data sets that simulate GNSS signals from the antenna that moves from open sky areas to urban areas. The estimation errors with the derived process noise model were significantly reduced, compared to the ones with other two process noise models.

Ai, Luo, El-Sheimy; “Surround Mask Aiding GNSS/LiDAR SLAM for 3D Mapping in the Dense Urban Environment.”

3D lidar-aided GNSS RTK positioning for increased accuracy mapping in urban canyons

The GNSS real-time kinematic (RTK) positioning technique has shown centimeter-level absolute results in open-sky areas; however, it can suffer from polluted GNSS measurements and poor satellite geometry in urban environments. This is due to the non-line-of-sight (NLOS) and multipath reception caused by signal blockage and reflection.

In this paper, the authors stated that lidar sensors integrated with odometry systems that include an inertial measurement unit (IMU) provided a precise environment description and short-term accurate relative positioning capabilities that could be utilized for aiding GNSS-RTK to obtain better performance.

While 3D lidar-aided GNSS RTK positioning methods detect the GNSS NLOS receptions via an incrementally built map and improve the satellite geometry using the low-lying virtual satellite from lidar features, the high-elevation angle NLOS receptions cannot be fully detected, and the multipath signals cannot be effectively mitigated.

In response to this, the authors proposed a 3D lidar-aided GNSS RTK positioning method with iterated coarse to fine batch optimization by a global 3D NLOS exclusion aided by a point cloud map, which enables the detection of high-elevation angle NLOS receptions. Additionally, the authors proposed iterated batch optimization based on a devised, tightly coupled, factor graph that fully exploited the global consistency among the constraints of lidar, IMU and GNSS RTK to exclude potential multipath signals.

The proposed method aimed to achieve lifelong accurate positioning performance in deeply urbanized areas. The effectiveness of the proposed method has been proved by the evaluation conducted on the author’s open-source challenging dataset, UrbanNav, which contains various sequences collected by automobile-level low-cost GNSS receivers in urban canyons of Hong Kong.

Liu, Wen, Hsu; “3D LiDAR Aided GNSS Real-time Kinematic Positioning via Coarse-to-fine Batch Optimization for High Accuracy Mapping in Dense Urban Canyons.”

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BAE Systems, MOD boost battlefield communications

Image: BAE Systems

Image: BAE Systems

BAE Systems has been awarded an £89 million contract by the Ministry of Defense (MOD) to enhance front-line connectivity for military personnel, UAVs, combat vehicles, fighter jets, aircraft carriers and military commands.

The contract will be dedicated to the research and development phase of BAE Systems’ deployable tactical wide area network (WAN), Trinity. Trinity is due to be delivered in December 2025.

Under the contract, BAE Systems will lead an alliance of trusted partners, including Kellogg, Brown and Root (KBR), PA Consulting and L3Harris, to design and manufacture Trinity. The companies aim to deliver a highly secure battlefield internet capability to UK forces, which will sustain battlefield awareness and intelligence sharing through a myriad of adversarial attacks.

Trinity’s resilience is based on its composition, the company said. It is made up of a series of nodes, each able to add, access and move data in a secure network. If several nodes are damaged in warfare, the remaining automatically re-route to maintain optimum network speed and flow of information.

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Seen & Heard: Invasive species vs. UAVs and protecting farms with GIS

“Seen & Heard” is a monthly feature of GPS World magazine, traveling the world to capture interesting and unusual news stories involving the GNSS/PNT industry.


I Wonder What’s Under There?

Image: Lokibaho/iStock/Getty Images Plus/Getty Images

Image: Lokibaho/iStock/Getty Images Plus/Getty Images

Researchers at the University of Connecticut have conducted one of the largest understory species mapping projects using satellite data and have published the results of the study in the Remote Sensing of Environment journal. In this study, the researchers proposed an automated dense Sentinel-2 time series-based approach for understory plant communities and created maps of four understory classes that include native shrubs of greenbrier and mountain laurel, invasive shrubs of barberry, and the assemblage of mixed invasives at 10 m resolution in Connecticut’s deciduous forests. The researchers developed a strategy that distinguished plant species with an accuracy of 93% and determined that 53% of Connecticut’s understory is now comprised of invasive plant species such as barberry, bittersweet, winged euonymus (burning bush), and multi-flora rose.


Invasive Species VS. UAVs

Image: Donn Bartram

Image: Donn Bartram

Researchers at West Virginia University are using UAVs to develop tools to detect, map, treat and monitor invasive plant species with a grant from the Richard King Mellon Foundation. Multiflora rose is an invasive shrub that threatens native plants in more than 40 states, including West Virginia and Pennsylvania. This project aims to equip UAVs with sensors to collect environmental data in a designated area of southwestern Pennsylvania over multiple seasons. The research team will use that data, combined with machine learning technology, to develop software that can identify multiflora rose and, eventually, other invasive species.


Protecting Farms with GIS

For farmers, every centimeter counts. ComNav’s AG360 Pro autosteering system controls pass-to-pass accuracy within 2.5 cm. (Photo: Daniel Balakov/E+/Getty Images)

Image: Daniel Balakov/E+/Getty Images

American Farmland Trust (AFT) is partnering with government agencies and advocacy groups in South Carolina to deploy GIS mapping tools to predict areas at the highest risk of development in the state. Palmetto 2040: Visioning Alternative Futures, Launching Solutions is a geospatial modeling and policy analysis tool designed to identify and model future outcomes. This mapping tool will project what land in South Carolina is at highest risk of development by 2040. The analysis will consider both rapid population growth and climate change impact on settlement patterns and agriculture, according to AFT.


USV Take Hurricanes

Image: SailDrone

Image: SailDrone

Saildrone is deploying 12 uncrewed surface vehicles (USV) into the tropical Atlantic and Gulf of Mexico this summer, supporting research by the National Oceanic and Atmospheric Administration (NOAA) to advance hurricane forecasting. Ten USVs will be deployed from St. Thomas, U.S. Virgin Islands; St. Petersburg, Florida; and Charleston, South Carolina; to operate in areas with a high probability of intercepting a storm, as indicated by historical data. Two vehicles will remain on land, ready for quick deployment in the event of an approaching hurricane. NOAA will use the data collected by the USVs to improve hurricane forecast models.

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The power to outpace the threat

[SPONSORED CONTENT] What if the biggest receiver upgrade came with the smallest mission interruption and impact to your budget? BAE Systems is delivering the latest in portable M-Code GPS technology. The NavGuide™ receiver is a portable, secure GPS receiver made for handheld and vehicular operations with the added protection of anti-spoofing. Future-proofed with a modular open system architecture, the NavGuide receiver gives you the power to outpace the threat.

Get the proof in your palm here. 

This video is sponsored content by BAE Systems. 

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Mapping Hurricane Idalia

According to the U.S. National Hurricane Center (NHC), Hurricane Idalia made landfall along the Gulf Coast of Florida around 7:45 a.m. EDT on August 30 as a Category 3 hurricane. The NHC is continuing to map the storm’s path, and as of 9:00 a.m. EDT, a catastrophic storm surge was occurring with damaging winds spreading inland over Northern Florida.

Idalia is expected to bring excessive rainfall along its path from Florida through the Carolinas. The heavy rain could shift depending on the storm’s exact path.

Peak storm surge forecast in Florida. (Image: National Hurricane Center)

Peak storm surge forecast in Florida. (Image: National Hurricane Center)

This hurricane and future storms this hurricane season, have the potential to become supercharged as sea surface temperatures have clocked record high temperatures.

Idalia is the ninth named storm to form in the Atlantic in 2023.

In late May, the National Oceanic and Atmospheric Administration (NOAA) predicted that there would be 12 to 17 named storms this year. However, on Aug. 10, NOAA revised its estimate to 14 to 21 storms.

There were 14 named storms last year, after two extremely busy Atlantic hurricane seasons in which forecasters ran out of names and had to resort to backup lists, reported The New York Times.

Readers can stay updated with Hurricane Idalia at the NHC website.

Image: National Hurricane Center

Image: National Hurricane Center

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uAvionix, CAP collaborate to expand low-altitude aircraft data for search and rescue missions

Image: uAvionix

Image: uAvionix

uAvionix has partnered with Civil Air Patrol (CAP) to deploy a DO-260B-compliant, dual-band Automatic Dependent Surveillance-Broadcast (ADS-B) receiver network to complement Federal Aviation Administration (FAA) sensor data with low-altitude aircraft positions in support of CAP’s radar analysis mission.

The ADS-B receiver technology — already in use in Virginia — is designed to shorten the accident-to-rescue time in the National Radar Analysis Team’s search and rescue efforts.

Through the leadership of CAP’s Virginia Wing, members throughout the state have assisted uAvionix in locating suitable receiver sites and supported the installation of small, low-weight FlightStation ADS-B receivers at various airports.

The dual-mode (1090 MHz and 978 MHz) FlightStations receive transponder data from aircraft, which is centrally received and transmitted to the radar team server at Maxwell Air Force Base, Alabama, where it’s combined with FAA sensor data.

The CAP team uses FAA data and advanced technologies in its search and rescue efforts. The team is activated by the Air Force Rescue Coordination Center when there is a report of a possible missing aircraft or crash. Once the team is activated, analysis and actionable data can be provided in minutes to an incident commander, instead of the days or hours required before the team’s creation.

The FlightLine roll-out consists of several ATC grade ADS-B receivers with overlapping coverage, allowing for validation of transmitted ADS-B data and pinpoint multilaterated positions. Traditional ADS-B and radar concentrate mostly on airports and higher altitudes in support of air traffic control.

Most other available data sources largely exclude coverage for 978Mhz transponders, typically used by general aviation aircraft. Virginia is the first state in the U.S. to have complete coverage down to 500 ft of altitude. The new ADS-B is rapidly expanding to other CAP wings across the U.S.

“The introduction of ADS-B has resulted in a significant improvement of general aviation safety,” said Christian Ramsey, managing director, uAvionix. “Expanding on the FAA coverage at lower altitude and for UAT [universal access transceiver] transponders typically carried by general aviation will further enhance the tools used in safety of life activities such as CAP’ ‘s emergency services mission.”

The radar analysis team is calling on all CAP Squadrons to volunteer to host and install additional receivers where additional coverage is needed. Young said his team will prioritize areas where existing coverage is weak.

For more information and to register your squadron for a FlightStation unit, click here.

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Hexagon equips fully autonomous road trains

Image: Hexagon/Mineral Resources

Image: Hexagon/Mineral Resources

Hexagon has partnered with Mineral Resources (MinRes) to provide an autonomous haulage solution for a fleet of 120 fully autonomous road trains in Australia. The company says this will transform safety, productivity and sustainability in the region.

The fully autonomous road trains are a full-site, truck-agnostic solution. The addition of unmanned and autonomous systems will form an essential part of the supply chain for the MinRes Onslow Iron project in Western Australia’s Pilbara region.

The center of the autonomous platooning system is Hexagon’s autonomous solutions stack integrating drive-by-wire technology with an autonomous management system to orchestrate vehicle movement in road train haulage.

“Today’s agreement with MinRes will ensure that off-road transport activities will be safer, more sustainable, and more productive,” Paolo Guglielmini, president and CEO of Hexagon, said. “I’m excited to see how similar solutions can be applied in other off-road markets such as agriculture and heavy industry.”

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Google Maps APIs help map environmental information

Image: Google

Image: Google

Google has released three Google Maps application programming interfaces (APIs) for developers to map solar potential, air quality and pollen levels. The three APIs apply artificial intelligence (AI) and machine learning, along with aerial imagery and environmental data, to provide up-to-date information about these three variables, enabling developers, businesses, and organizations to build tools that map and mitigate environmental impact.

The Solar API utilizes mapping and computing resources to design detailed rooftop solar potential data available for more than 320 million buildings across 40 countries including the United States, France and Japan. To obtain this data, the AI model extracts 3D information about roof geometry from aerial imagery, while considering past weather patterns and energy costs, enabling quicker installation of solar panels.

The Air Quality API shows air quality data, pollution heatmaps, and pollutant details for more than 100 countries around the world. The API validates and organizes several terabytes of data an hour from multiple data sources — including government monitoring stations, meteorological data, sensors and satellites — to provide a local and universal index.

Google Maps uses machine learning and live traffic information to predict different pollutants in an area at a given time. The Air Quality API offers companies in healthcare, the automotive market and other forms of transportation the ability to provide accurate and timely air quality information to their users.

The Pollen API shows current pollen information for common allergens in more than 65 countries. The API provides localized pollen count data, heatmap visualizations, detailed plant allergen information, and actionable tips for allergy-sufferers to limit exposure. To obtain this information, Google Maps uses machine learning to determine where specific pollen-producing plants are located.