Recent advancements in satellite imaging technology have resulted in the development of hyper-spectral and multispectral sensors that can assist users in locating objects, identifying materials, and detecting processes.
FREMONT, CA: Satellites have long been utilized as an essential source of information, with camera modules put within them to observe surface vegetation, global weather patterns, ocean currents and temperatures, and other variables. With reduced costs and increased availability, these collected images made it intriguing. However, these satellite capabilities are just the tip of the iceberg. Recent advancements in satellite imaging technology have resulted in the development of hyper-spectral and multispectral sensors that can assist users in locating objects, identifying materials, and detecting processes.
The proliferation of urban growth and development is crucial in leveraging technologies such as satellite images and AI/ML. It assists urban developers and land managers in monitoring and supporting decision-making for sustainable urban development in dense urban environments and preventing flooding in urban regions by collecting high-resolution details of the urban areas. Furthermore, satellite pictures can give extensive analysis for detecting significant changes in urban land cover and land use, allowing developers to cover and overlay different time sequences to categorize environmentally safe and sustainable locations for any development process.
Tracking carbon emissions
AI and ML are employed successfully to track greenhouse gas (GHG) emissions from factories, power plants, and other sources. Concurrently, the utilization of image processing algorithms to detect carbon emissions by leveraging the satellite network can act as an added potential for creating an even faster and more accurate database of the activities of companies, like power plants and other such sources. It can provide a comprehensive and collective view of emissions to map a region's carbon footprint.
Every new construction project requires site clearing. The combo of satellite imaging and AI can help in a practical field survey. It aids in observing and measuring vegetation on the planned construction site as well as vegetation in the surrounding areas. Having such data on the arm can enable stakeholders to make informed judgments, including; the quantity of vegetation clearance, offset techniques to compensate for vegetation loss, the availability of resources in and around the proposed site, and so on.
Railway obstacle detection
Together, the capability of satellite images and AI can play an essential role in detecting obstacles on the railway lines proactively. It can monitor the damage in the obstruction crossing by giving preventive alerts to the personnel to avoid any threats to passengers' safety. Additionally, obstacles detection would merge the vehicle detection on-going works with the railway needs. They detect accidents that occur through human errors and can also measure and notify the personnel about any obstacles from natural disasters.