This inventor holds 1 USPTO granted patent. Top assignee: Nanjing Forestry University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Haibo Hu: Innovator in Wetland Forest Investigation
Introduction
Haibo Hu is a notable inventor based in Nanjing, China. He has made significant contributions to the field of wetland forest investigation through his innovative methods. His work focuses on utilizing consumer-grade unmanned aerial vehicles (UAVs) to extract forest parameters in areas with high canopy density.
Latest Patents
Haibo Hu holds a patent titled "Method for extracting forest parameters of wetland with high canopy density based on consumer-grade UAV image." This patent describes a method that involves collecting image data using a consumer-grade UAV, processing the images to generate a digital surface model and a digital orthophoto map, and performing land use classification. The method also includes obtaining a canopy height model and accurately determining tree height and number through advanced image processing techniques.
Career Highlights
Haibo Hu is affiliated with Nanjing Forestry University, where he contributes to research and education in forestry and environmental science. His innovative approach to using UAV technology in wetland studies has garnered attention in the academic community.
Collaborations
Haibo Hu collaborates with colleagues such as Jianyu Chen and Weibo Shi, who contribute to his research endeavors and help advance the field of wetland forest investigation.
Conclusion
Haibo Hu's work exemplifies the intersection of technology and environmental science, showcasing how innovative methods can enhance our understanding of wetland ecosystems. His contributions are paving the way for future advancements in this important area of research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile