Company Filing History:
Years Active: 2025
Title: The Innovative Contributions of Shaobin Li
Introduction
Shaobin Li is a prominent inventor based in Xiamen, China. He has made significant contributions to the field of remote sensing and water quality monitoring. His innovative work has led to the development of advanced methods that enhance the accuracy and efficiency of environmental monitoring.
Latest Patents
Shaobin Li holds 3 patents, one of which is titled "Intelligent fusion and processing method for remote sensing products for water quality monitoring of estuaries and bays." This patent outlines a comprehensive approach that includes setting criteria for image retrieval, performing iterative image retrieval and downloading, and achieving batch downloading of remote sensing images automatically. Additionally, it involves performing recursive calls of an Acolite settings file in Python for batch atmospheric correction of multi-source remote sensing satellite data. The method also fuses multi-source remote sensing data products based on machine learning to generate high-frequency water quality parameter remote sensing products. Furthermore, it superimposes tidal boundary vectors for different water levels onto the water quality parameter products, creating thematic maps and performing intelligent statistical analysis of water quality parameters. Finally, it outputs a report sheet based on the thematic map and statistical chart.
Career Highlights
Shaobin Li is affiliated with Xiamen University, where he continues to advance research in remote sensing technologies. His work has garnered attention for its practical applications in environmental monitoring and management.
Collaborations
Some of his notable coworkers include Nengwang Chen and Lingling Li, who contribute to the collaborative efforts in their research projects.
Conclusion
Shaobin Li's innovative contributions to remote sensing and water quality monitoring exemplify the impact of technology on environmental science. His patents reflect a commitment to improving monitoring methods, which is crucial for sustainable management of water resources.