[On-Orbit Multispectral Sensor Characterization Based on Spectral Tarps].

Area of Science:

• Earth and Space Sciences
• Remote Sensing Technology
• Optical Physics

Background:

• Multispectral remote sensing is crucial for biomass monitoring, climate change studies, and disaster prediction.
• Sensor spectral sensitivity is vital for accurate quantitative analysis of remote sensing data.
• Space environments (cosmic radiation, temperature fluctuations, contamination) cause spectral sensitivity degradation over time.

Purpose of the Study:

• To develop and present a novel characterization method for spectral sensitivity degradation in multispectral remote sensing sensors.
• To establish a degradation model and utilize man-made spectral targets for accurate monitoring.
• To enhance the accuracy and consistency of physical measurements from remote sensing data.

Main Methods:

• A degradation model for spectral sensitivity was established.
• Man-made spectral targets were used to measure and invert equivalent reflectance from sensor imagery.
• The proposed method was validated through simulation and on-orbit experiments.

Main Results:

• The developed method successfully monitored changes in center wavelength and bandwidth of the sensor's spectral sensitivity.
• Simulation and on-orbit experiments confirmed the effectiveness of the characterization technique.
• The degradation characterization was achieved by combining the model with measured spectral target data.

Conclusions:

• The proposed method provides a reliable way to characterize spectral sensitivity degradation in remote sensing sensors.
• This technique is significant for improving the accuracy of long time-series remote sensing data products.
• The method enhances the comprehensive utilization of multi-sensor data products by ensuring data consistency.