Hitachi Energy Ltd (20240331072). VEGETATION MANAGEMENT SYSTEM AND VEGETATION MANAGEMENT METHOD simplified abstract
Contents
VEGETATION MANAGEMENT SYSTEM AND VEGETATION MANAGEMENT METHOD
Organization Name
Inventor(s)
Yu Zhao of Chiyoda-ku, Tokyo (JP)
VEGETATION MANAGEMENT SYSTEM AND VEGETATION MANAGEMENT METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331072 titled 'VEGETATION MANAGEMENT SYSTEM AND VEGETATION MANAGEMENT METHOD
The vegetation management system described in the patent application includes several key components:
- Vegetation classification unit: Classifies vegetation photographed in remote sensing data.
- Long-term change prediction unit: Predicts long-term wide-area fluctuation of vegetation based on classification results and remote sensing data.
- Short-term change prediction unit: Predicts short-term wide-area fluctuation of vegetation based on classification results and remote sensing data.
- Risk determination unit: Determines the risk of vegetation contacting a facility based on long-term and short-term prediction results.
- Visualization unit: Visualizes the risk determination results.
Potential Applications: - Environmental monitoring - Forestry management - Agriculture planning
Problems Solved: - Efficient vegetation monitoring - Risk assessment for facilities near vegetation
Benefits: - Early detection of potential risks - Improved decision-making for vegetation management
Commercial Applications: Title: Advanced Vegetation Management System for Environmental Monitoring This technology can be used in industries such as forestry, agriculture, and infrastructure development to enhance vegetation management practices and reduce risks associated with vegetation-facility contact.
Frequently Updated Research: Researchers are constantly exploring new methods to improve remote sensing technology for more accurate vegetation classification and prediction.
Questions about the technology: 1. How does the vegetation classification unit analyze remote sensing data to classify vegetation accurately? 2. What are the specific parameters used by the risk determination unit to assess the risk of vegetation-facility contact?
Original Abstract Submitted
a vegetation management system includes a vegetation classification unit that classifies vegetation photographed in remote sensing data, a long-term change prediction unit that predicts, based on a classification result of the vegetation and the remote sensing data, long-term wide-area fluctuation that is range fluctuation of the vegetation in a predetermined long-term time sequence, a short-term change prediction unit that predicts, based on the classification result of the vegetation and the remote sensing data, short-term wide-area fluctuation that is range fluctuation of the vegetation in a predetermined short-term time sequence, a risk determination unit that determines, based on a prediction result by long-term change prediction unit and a prediction result by short-term change prediction unit, a risk due to contact of the vegetation and a facility, and a visualization unit that visualizes a determination result of the risk.
