Satellite Image Production Lag Simulation Grid
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for satellite imagery poses challenges due to limited satellite resources and the subjective nature of estimating image production time, which is influenced by unreliable long-term weather forecasts, making it difficult to meet accuracy and reliability requirements.
Innovation Solution
A method and device that simulate the estimation of satellite image production time by dividing a predetermined Earth area into a mesh grid, selecting candidate cells based on satellite orbital characteristics, identifying clear sky conditions, and iteratively validating cells until all are cleared, determining the time required for image production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If long-term weather forecasts are used to estimate satellite image production time, then the estimation process is simplified, but the accuracy and reliability of the estimation deteriorates
Solution Approach 1:
The system performs preliminary simulations using historical meteorological data and satellite orbital characteristics to pre-determine production times for various scenarios. These pre-calculated results are then used to provide accurate estimates without requiring complex real-time forecasting, thus maintaining simplicity while improving accuracy.
2Adaptability or versatility
If subjective operator experience is used for estimation, then flexibility is maintained, but reliability and accuracy requirements cannot be met
Solution Approach 1:
The system incorporates feedback loops where simulation results are continuously refined based on actual satellite operations and observed meteorological conditions. This allows the automated system to adapt to changing conditions while maintaining reliability through objective data-driven methods rather than subjective judgment.
3Measurement precision
If detailed iterative validation of each mesh cell is performed, then estimation accuracy is improved, but computational complexity increases
Solution Approach 1:
The estimation process is segmented into distinct iterative steps: selecting candidate cells based on orbital characteristics, filtering by meteorological conditions, validating each cell individually, and aggregating results. This segmentation makes the complex process more manageable and systematic while maintaining high accuracy through thorough validation of each component.
Data Source
Figure 1
Figure 2~3
Figure 4A~4C
AI summary
The invention relates to a method (100) for simulating the estimation of a lag in producing satellite images associated with at least one predetermined zone of the Earth (20), by at least one Earth observation satellite comprising an optical imaging system, the predetermined zone being previously divided (110) according to a grid with mesh cells (10, 11), the acquisition being envisaged to be triggered from an analysis commencement date, the method comprising the steps consisting in: (a) carrying out an inventory (120) of the mesh cells which are envisaged to be overflown by the satellite at a current iteration date, on the basis of the orbital characteristics of the satellite at the current iteration date, so as to obtain candidate mesh cells, (b) identifying (130) from among the candidate mesh cells, on the basis of a mission plan of the satellite, those for which an acquisition planning in respect of at least one satellite image is envisaged, so as to obtain planned mesh cells, (c) obtaining (140) at least one first nebulosity value for each of the planned mesh cells, (d) identifying (140) from among the planned mesh cells, those for which the first associated nebulosity value is beyond a predetermined validation threshold value, so as to obtain validated mesh cells, (e) repeating steps (a) to (d), one or more times until each of the mesh cells of said grid (10, 11) is included in the validated mesh cells, taking into consideration at each iteration the mesh cells not identified as validated and a period following the current iteration date considered in the previous iteration, (f) determining (150) the lag for producing satellite images from the number of iterations carried out in step (e).