Introduction

In the realm of property management and analysis, geospatial artificial intelligence (AI) solutions have emerged as powerful tools. Granular is at the forefront of this technological advancement, dedicated to crafting sophisticated solutions that redefine property assessment through data-driven insights. In this blog, we'll take a comprehensive look at our innovative geospatial AI solutions, focusing on roof detection, classification, and area estimation, while showcasing results from a satellite image.

Urban properties exhibit diverse architectural structures, each with its unique attributes. In this intricate landscape, our geospatial AI solutions excel in navigating the complexities of property analysis. By employing cutting-edge algorithms and machine learning techniques, we've developed a model that accurately detects and classifies various roof types, whether they are gabled, hipped, or flat. This capability allows us to unravel the intricate tapestry of urban roofing, contributing to a comprehensive understanding of architectural trends.

Roof Detection

Our geospatial AI solution employs a sophisticated Vit model to detect roofs from satellite images. This technology can accurately identify roof contours even in densely populated urban environments, where the distinction between structures is intricate. The model's ability to decipher the outlines of different roof types contributes to a comprehensive understanding of the diverse roofing architecture.

Roof Type Classification

Our roof classification model categorizes detected roofs into distinct types. This critical insight provides property managers, urban planners, and architects with a deeper understanding of the prevalent architectural trends. Whether it's the classic lines of gabled roofs or the contemporary simplicity of flat designs, our technology aids in unraveling the urban roofscape.

Roof Area Estimation

Accurate property valuation hinges on precise measurements, and our geospatial AI solution excels in this domain. By combining high-resolution satellite imagery with advanced machine learning algorithms, we can swiftly calculate roof areas. This quantitative data is invaluable for property assessments, insurance evaluations, and urban planning, fostering informed decision-making across the property sector.

To demonstrate the efficacy of our geospatial AI solutions, we applied them to a satellite image of Miami's urban expanse. The results are striking—clearly defined roofs, accurately classified types, and precise area calculations. These visualizations offer stakeholders tangible insights into the potential applications of our technology, spanning property development, infrastructure planning, and beyond.

Roof Analysis

Future of Informed Property Intelligence

The evolution of property analysis is intimately tied to technological progress. Our geospatial AI solutions lead this evolution, reshaping the landscape of property assessment, management, and comprehension. By harnessing advanced algorithms and leveraging high-resolution satellite imagery, we empower property managers, insurers, and stakeholders to navigate the intricacies of property analysis. As the journey of property intelligence continues, our commitment stands strong—shaping a future where insights foster informed decisions and optimized property outcomes. Experience the potential of our geospatial AI solutions and step into a new era of property analysis.