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

Part 1: Signal Noise Analysis for SOC Camera Images

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

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

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

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: ( *Voltage+0.33)*4 * DN value showed from SOC camera representing the 50 th channel, or wavelength equals to nm (Red Light Region)

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

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

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

Part 3: PLSR Model from Reference Spectra to Clear Index

Part 3.1: SOC Camera DN Value

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= P-value<0.01 RMSE=0.1505

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= P-value<0.01 RMSE=0.1287

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= P-value<0.01 RMSE=0.1109

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= P-value<0.01 RMSE=0.1031

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= P-value<0.01 RMSE=0.0979

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= P-value<0.01 RMSE=0.0954

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= P-value<0.01 RMSE=

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= P-value<0.01 RMSE=0.0889

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= P-value<0.01 RMSE=0.0904

Part 3.2: SOC Camera DN Value, Normalized by PAR

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= P-value<0.01 RMSE=0.2794

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= P-value<0.01 RMSE=0.3106

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= P-value<0.01 RMSE=0.3027

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