Company Filing History:
Years Active: 2025
Title: Innovations of Zhongyao Liang in Water Quality Monitoring
Introduction
Zhongyao Liang is a prominent inventor based in Xiamen, China. He has made significant contributions to the field of remote sensing, particularly in water quality monitoring. His innovative approaches have led to the development of advanced methods that enhance the accuracy and efficiency of environmental assessments.
Latest Patents
Zhongyao Liang 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 method that includes several key processes. These processes involve setting criteria for image retrieval, performing iterative image retrieval and downloading, and achieving batch downloading of remote sensing images automatically. Additionally, it incorporates 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, adding map elements to create thematic maps. The process concludes with intelligent statistical analysis of water quality parameters and the output of a report sheet based on the thematic map and statistical chart.
Career Highlights
Zhongyao Liang is affiliated with Xiamen University, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in environmental monitoring and management.
Collaborations
He collaborates with notable colleagues, including Nengwang Chen and Lingling Li, contributing to a dynamic research environment that fosters innovation.
Conclusion
Zhongyao Liang's contributions to remote sensing and water quality monitoring exemplify the impact of innovative thinking in environmental science. His patents reflect a commitment to improving the methodologies used in assessing water quality, ultimately benefiting ecological research and management.