Supercharge your solar site assessments

By EagleView Assess. 

EagleView’s high-tech aerial imagery and artificial intelligence boost accuracy and scale up renewable energy projects. 

With the advent of sustainable energy becoming more necessary, the growth of solar power adoption and evolution in its performance has become vital in solar site assessments. Being a frontrunner in aerial imagery and data analytics, EagleView has employed their advanced technology to aid in the process of solar site assessment while promoting scalability in the renewable energy industry. 

Aerial imagery and high-resolution data collection  

EagleView’s solar site assessments begin with the capture of high-resolution aerial imagery. This imagery is obtained through a combination of cutting-edge tools such as drones and aircraft equipped with state-of-the-art cameras. These technologies enable EagleView to obtain detailed and up-to-date images of the targeted solar sites. The high-resolution data collected provides crucial information about the site’s topography, shading and other relevant factors that influence solar energy production. With EagleView’s large geospatial data and imagery library that encompasses 94% of the U.S. population and includes both top-down and side-angle views, you can have complete remote visibility to residential properties for solar prospecting, planning and validation.  

Advanced 3D modeling  

Once the aerial imagery is collected, EagleView employs advanced photogrammetry techniques to create accurate 3D models of the solar sites. This process involves stitching together multiple images to construct a comprehensive 3D representation of the area. These models allow for precise measurements and assessments of site characteristics, including terrain, structures and vegetation. The detailed 3D models facilitate the identification of potential obstructions and shading issues, enabling solar developers to optimize panel placement for maximum energy output.  

Machine learning and artificial intelligence  

EagleView leverages machine learning and artificial intelligence (AI) algorithms to analyze vast amounts of data accurately. These algorithms can identify and classify objects such as trees, buildings and infrastructure in the imagery. By automating the detection of shading sources and potential obstacles, EagleView’s technology significantly reduces the time and effort required for manual site assessments. This data-driven approach enhances the scalability of solar projects by expediting the decision-making process.  

Shade analysis and energy modeling  

Accurate shade analysis is crucial for determining the solar potential of a site. EagleView’s technology enables precise shade modeling by simulating the sun’s position throughout the year. By incorporating variables such as latitude, longitude, time of day and seasonal changes, EagleView’s shade analysis provides a comprehensive understanding of shading patterns. This information empowers solar developers to optimize panel placement, ensuring minimal shading and maximum energy production.  

Remote site evaluation and virtual collaboration  

EagleView’s innovative technologies enable remote site evaluation, reducing the need for in-person visits and expediting the assessment process. Solar developers and stakeholders can access detailed site information, making informed decisions without the constraints of physical presence. This remote accessibility saves time and resources, contributing to the scalability of solar projects.  

Conclusion  

EagleView’s commitment to technological innovation has redefined the landscape of solar site assessments. By harnessing aerial imagery, machine learning and AI, EagleView streamlines the process, enhances accuracy and promotes scalability in the renewable energy sector. As the demand for solar power continues to grow, EagleView’s cutting-edge technologies play a pivotal role in facilitating efficient and informed decision-making for solar developers, driving the transition towards a sustainable and renewable energy future.  

Original article source: EagleView Assess