Signal to noise ratio simulation of lake water color monitoring oriented satellite remote sensing system

Jia Tian; Bin Peng; Jing Wang; Xiang Li

doi:10.1117/12.910369

15 August 2011 Signal to noise ratio simulation of lake water color monitoring oriented satellite remote sensing system

Jia Tian, Bin Peng, Jing Wang, Xiang Li

Proceedings Volume 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing; 82030B (2011) https://doi.org/10.1117/12.910369
Event: Seventeenth China Symposium on Remote Sensing, 2010, Hangzhou, China

Abstract

Signal to noise ratio (SNR) is of great significance to the satellite remote sensing system dedicated to the monitoring of lake water color. The technical requisites were set in this paper taking reference to the Sea-viewing Wide Field-of-View Sensor (SeaWiFS), which was aboard on the SeaStar. We simulated radiative transfer process from water-leaving radiance to apparent radiance on the top of atmosphere using 6S model, and calculated SNR based on the Equivalent Electron Theory. Our results showed that SNR in bands less than 500 nm was too low to meet the demand. Time Delay Integration (TDI) was essential in these bands. However, in bands greater than 500 nm, the SNR was higher enough (greater than 400), indicating there was still much potential to improve the spatial or spectral resolution in these bands.

Citation Download Citation

Jia Tian, Bin Peng, Jing Wang, and Xiang Li "Signal to noise ratio simulation of lake water color monitoring oriented satellite remote sensing system", Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030B (15 August 2011); https://doi.org/10.1117/12.910369

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