Agricultural Information Apparatus Atmospheric Correction
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Solution Overview
Problem
Current methods for determining agricultural relevant information, such as satellite imagery and ground-based sensors, face challenges in accuracy and coverage, as satellite imagery lacks precision due to atmospheric modeling limitations and ground-based data does not provide comprehensive field coverage.
Innovation Solution
An apparatus and system that utilize a processing unit to implement a radiation propagation model, incorporating ground-based sensor data to correct atmospheric model parameters, allowing for the determination of accurate agricultural relevant information from satellite and aerial imagery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite imagery is used to obtain wide coverage of agricultural areas, then the coverage area is improved, but the measurement precision deteriorates due to atmospheric modeling limitations
Solution Approach 1:
The patent introduces ground-based sensors as an intermediary to measure actual atmospheric parameters (aerosol optical depth, water vapor, etc.) at specific locations. These measurements serve as mediators to correct the atmospheric modeling errors in satellite imagery, allowing wide coverage while maintaining accuracy through localized calibration points.
Solution Approach 2:
The patent changes the atmospheric parameters used in radiative transfer models by incorporating actual ground-based measurements of aerosol optical depth, water vapor content, and other atmospheric constituents. This parameter adjustment transforms the atmospheric correction from theoretical modeling to empirically calibrated values, resolving the accuracy issue while preserving wide coverage.
2Measurement precision
If ground-based sensors are used to improve measurement precision, then the accuracy is improved, but the coverage area deteriorates due to limited spatial distribution
Solution Approach 1:
The patent makes the ground-based sensor measurements serve multiple functions: they calibrate atmospheric parameters for the local area, provide reference data for regional atmospheric correction, and enable the derivation of agricultural parameters across the entire satellite imagery coverage area. This multi-functionality allows limited ground sensors to support wide area accuracy.
Solution Approach 2:
The system uses ground-based sensor data to self-calibrate the atmospheric correction model for the region. The measured atmospheric parameters automatically adjust the radiative transfer model calculations, enabling the system to self-correct without requiring extensive manual calibration or additional ground infrastructure.
3Measurement precision
If atmospheric correction models are implemented to improve accuracy, then the measurement precision is improved, but the device complexity increases due to multiple sensor integrations
Solution Approach 1:
The patent segments the atmospheric correction process into distinct modules: ground-based sensor data acquisition, atmospheric parameter derivation, radiative transfer model calculation, and satellite imagery correction. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining accuracy.
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 the correction of atmospheric effects in satellite imagery, providing accurate and quantitative agricultural relevant information, such as biomass indicators, across different agricultural areas, even where ground-truth data is not available.
Implementation Method 1
The processing unit is configured to implement a radiation propagation model of the atmosphere that utilizes at least one model parameter. The at least one model parameter comprises at least one atmospheric scattering coefficient.
Implementation Method 2
The at least one model parameter comprises at least one atmospheric absorption coefficient.
Data Source
AI summary
The present invention relates to an apparatus for determining agricultural relevant information in an agricultural environment. It is described to provide a processing unit with at least one image of an agricultural area. The at least one image corresponds with at least one area of the agricultural area. The at least one image comprises remotely acquired reflectance intensity data relating to a plurality of features on the ground. An image of the at least one image is of a first area of the agricultural environment. The processing unit is provided with at least one sensor data relating to the first area of the agricultural environment. The processing unit implements a radiation propagation model of the atmosphere that utilizes at least one model parameter. The processing unit determines modified at least one model parameter. The processing unit determines at least one agricultural relevant information for an examination area of the at least one area.