Volcanic Ash Plume Detection via Spectral Radiance Baseline Deviation
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Solution Overview
Problem
Current hyperspectral infrared sounders and visible/infrared imagers, such as IASI and GOES, face limitations in spatial and spectral sampling, making it difficult to accurately distinguish volcanic ash plumes from dust clouds or other aerosol suspensions.
Innovation Solution
The method involves obtaining spectral radiance data through instruments like the CrIS, determining a baseline brightness temperature value, and identifying fields of view with deviations from this baseline to detect volcanic ash, while also characterizing the ash plume height using spectral analysis and processing techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If IASI is used for volcanic ash detection, then spectral measurement capability is provided, but spatial sampling is insufficient leading to inability to accurately distinguish ash plumes from dust clouds
Solution Approach 1:
The patent divides the field of regard into multiple fields of view (FOVs), with each FOV containing multiple pixels. This segmentation allows the system to process spatial information at a finer scale while maintaining spectral measurement capabilities, thereby improving the ability to distinguish volcanic ash plumes from dust clouds through enhanced spatial sampling density.
2Area of stationary object
If GOES is used for volcanic ash detection, then spatial coverage is provided, but spectral sampling is insufficient leading to inability to accurately distinguish ash plumes from other aerosols
Solution Approach 1:
The patent introduces an additional spectral dimension by measuring brightness temperature at multiple specific wavelengths (e.g., 10.4 µm and 12.0 µm). This multi-wavelength approach enables the system to maintain broad spatial coverage while obtaining precise spectral information needed to distinguish volcanic ash from other aerosol types through ratio calculations and pattern recognition.
3Ease of operation
If baseline brightness temperature method is used, then simple ash detection is achieved, but inability to characterize ash plume height and properties
Solution Approach 1:
The patent performs preliminary calculations by determining baseline brightness temperature values and computing ratios of brightness temperatures at different wavelengths before final ash detection and characterization. These preliminary actions enable the system to maintain operational simplicity while extracting multiple pieces of information including ash plume height, concentration, and spatial distribution through systematic data processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate identification and characterization of volcanic ash plumes within a field of regard, improving the distinction from other aerosols and providing reliable ash plume height determination.
Implementation Method 1
spectral radiance data is obtained comprising brightness temperature values over a specified spectral range
Data Source
AI summary
Volcanic ash is identified within a field of regard (FOR) by obtaining spectral radiance data comprising brightness temperature values over a specified spectral range for each field of view (FOV) within the FOR, determining a baseline brightness temperature value over the specified spectral range that is identified as representing no volcanic ash, and assigning one or more FOVs having brightness temperature values that deviate from the baseline brightness temperature value by a predetermined amount with an indication of containing volcanic ash.