Interact with one of our 3D Models from a farm in Wisconsin.
San Pedro Cafetitlán, Oaxaca
Vía Orgánica, San Miguel de Allende, Guanajuato
Justin Trussoni Farm, De Soto, Wisconsin.
Vía Orgánica Entrance Booth
Vía Orgánica Mural
Vía Orgánica Agavetum
Canopy Height Model of Justin Trussoni's Forest
Digital Elevation Model of a Maple Forest, Viroqua, Wisconsin.
Digital Elevation Model of Justin Trussoni's Farm.
Scientific Credibility
At SACRA, we base our methodologies on rigorous, peer-reviewed scientific research to ensure the highest standard of accuracy and reliability. Our team integrates data collection with cutting-edge techniques, drawing from established studies to validate our approach in environmental monitoring, land assessment, and carbon capture analysis.
Our methods align with industry standards and contribute to the growing body of knowledge in fields like agroforestry, remote sensing, and carbon sequestration. Below is a selection of the key scientific papers and references that underpin our work:
Verhoeven, G. (2011). "Taking computer vision aloft – Archaeological three-dimensional reconstructions from aerial photographs with PhotoScan." Archaeological Prospection, 18(1), 67-73.
Dandois, J. P., & Ellis, E. C. (2010). "Remote sensing of vegetation structure using computer vision." Remote Sensing, 2(4), 1157-1176.
Wallace, A. M., et al. (2012). "Design and assessment of a full waveform airborne laser scanner for forest carbon measurement." Remote Sensing of Environment, 121, 21-35.
Fassnacht, F. E., Latifi, H., Stereńczak, K., Modzelewska, A., Lefsky, M., Waser, L. T., Straub, C., & Ghosh, A. (2016). "Review of studies on remote sensing of forest biomass and estimation of biomass change." International Journal of Applied Earth Observation and Geoinformation, 26, 81-97.
Cunningham, R. L., et al. (2019). "Application of photogrammetry and 3D modeling to quantify ecosystem restoration." Ecological Restoration, 37(1), 40-50.
This commitment to scientific integrity ensures that the insights we provide to clients are not only accurate but also aligned with the most recent advancements in the field.