1. SOC Camera Performance Systematic Assessment Jin Wu 11/20/2013

2. Part 1: Signal Noise Analysis for SOC Camera Images

3. Integration Time =50, Low light & Strong light comparisons 11/13/2013, 6:21 am 11/13/2013, 7:01 am 11/12/2013, 12:01 pm

4. Integration Time =10, Low light & Strong light comparisons 11/16/2013, 7:01 am 11/16/2013, 8:31 am 11/12/2013, 12:01 pm

5. Part 2: Simple and Quick Test on SOC DN diurnal response and Comparison with PAR

6. Diurnal Pattern of PAR and SOC DN *Diurnal data available from 6 am 11/16/2013 to 2:40 pm 11/16/2013 *PAR data available by Li-Cor PAR sensor, with an assumption that 14 mv =2000 umol/m2/s; PAR is recorded at minute interval; here we updated the calibration with Apogee PAR: ( 38.669*Voltage+0.33)*4 * DN value showed from SOC camera representing the 50 th channel, or wavelength equals to 635.6 nm (Red Light Region)

7. Diurnal Pattern of Clear Index *clear index is calculated by the ratio between real PAR and ideal PAR

8. Diurnal Pattern of Spectral Auto-Correlation *Spectral auto-correlation is based on the analysis for the spectra selected at a given time point, like 10:46 am, with any other time point during the date This suggested highly cloud signal might be possible indicated by the full spectra acquired from SOC camera images

9. Diurnal Pattern of Spectral Auto-Correlation *Spectral auto-correlation is based on the analysis for the spectra selected at a given time point, like 10:46 am, with any other time point during the date This suggested highly cloud signal might be possible indicated by the spectral range from 380 nm to 900 nm acquired from SOC camera images

10. Part 3: PLSR Model from Reference Spectra to Clear Index

11. Part 3.1: SOC Camera DN Value

12. Total 100 data point, from low CI to high CI, PLSR model is based on 10 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.7378 P-value<0.01 RMSE=0.1505

13. Total 100 data point, from low CI to high CI, PLSR model is based on 12 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.8088 P-value<0.01 RMSE=0.1287

14. Total 100 data point, from low CI to high CI, PLSR model is based on 14 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.8582 P-value<0.01 RMSE=0.1109

15. Total 100 data point, from low CI to high CI, PLSR model is based on 16 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.8776 P-value<0.01 RMSE=0.1031

16. Total 100 data point, from low CI to high CI, PLSR model is based on 18 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.8897 P-value<0.01 RMSE=0.0979

17. Total 100 data point, from low CI to high CI, PLSR model is based on 20 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.8953 P-value<0.01 RMSE=0.0954

18. Total 100 data point, from low CI to high CI, PLSR model is based on 22 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.9032 P-value<0.01 RMSE=0.09194

19. Total 100 data point, from low CI to high CI, PLSR model is based on 24 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.9103 P-value<0.01 RMSE=0.0889

20. Total 100 data point, from low CI to high CI, PLSR model is based on 26 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.9074 P-value<0.01 RMSE=0.0904

21. Part 3.2: SOC Camera DN Value, Normalized by PAR

22. Total 100 data point, from low CI to high CI, PLSR model is based on 10 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.5651 P-value<0.01 RMSE=0.2794

23. Total 100 data point, from low CI to high CI, PLSR model is based on 11 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.5324 P-value<0.01 RMSE=0.3106

24. Total 100 data point, from low CI to high CI, PLSR model is based on 12 channel in this case, 80 data points is randomly selected as model input for CI prediction R2=0.5522 P-value<0.01 RMSE=0.3027

25. Diurnal Pattern of Clear Index *clear index is calculated by the ratio between real PAR and ideal PAR