Table 2:
Surface reflectance sensor transformation functions (ETM+ to OLI and OLI to ETM+) derived by ordinary least squares (OLS) regression of the data illustrated in Figure 8, reduced major axis (RMA) regression coefficients, the number of 30m pixel values considered (n), the OLS regression coefficient of determination (r2), the OLS regression F-test p-value, the mean difference [2], the mean relative difference [4], and the root mean square deviation [3], between the OLI and ETM+ surface reflectance data.
| Regression type | Between sensor OLS transformation functions and RMA regression coefficients | n | OLS r2 (p-value) | mean difference OLI – ETM+ (reflectance) | mean relative difference OLI – ETM+ (%) | root mean square deviation (reflectance) | |
|---|---|---|---|---|---|---|---|
| Blue λ (∼0.48μm) | RMA | OLI = −0.0095 + 0.9785 ETM | 29,607,256 | 0.750 (<0.0001) | −0.0110 | −22.32 | 0.0313 |
| OLS | OLI = 0.0003 + 0.8474 ETM+ | ||||||
| OLS | ETM+ = 0.0183 + 0.8850 OLI | ||||||
| Green λ (∼0.56μm) | RMA | OLI = −0.0016 + 0.9542 ETM | 29,670,363 | 0.790 (<0.0001) | −0.0060 | −7.34 | 0.0317 |
| OLS | OLI = 0.0088 + 0.8483 ETM+ | ||||||
| OLS | ETM+ = 0.0123 + 0.9317 OLI | ||||||
| Red λ (∼0.66μm) | RMA | OLI = −0.0022 + 0.9825 ETM | 29,505,658 | 0.848 (<0.0001) | −0.0041 | −5.12 | 0.0333 |
| OLS | OLI = 0.0061 + 0.9047 ETM+ | ||||||
| OLS | ETM+ = 0.0123 + 0.9372 OLI | ||||||
| Near infrared λ (∼0.85μm) | RMA | OLI = −0.0021 + 1.0073 ETM | 29,618,412 | 0.706 (<0.0001) | −0.0002 | −0.19 | 0.0644 |
| OLS | OLI = 0.0412 + 0.8462 ETM+ | ||||||
| OLS | ETM+ = 0.0448 + 0.8339 OLI | ||||||
| Shortwave infrared λ (∼1.61μm) | RMA | OLI = −0.0030 + 1.0171 ETM | 29,520,670 | 0.772 (<0.0001) | 0.0009 | 0.03 | 0.0562 |
| OLS | OLI = 0.0254 + 0.8937 ETM+ | ||||||
| OLS | ETM+ = 0.0306 + 0.8639 OLI | ||||||
| Shortwave infrared λ (∼2.21μm) | RMA | OLI = 0.0029 + 0.9949 ETM | 29,028,669 | 0.831 (<0.0001) | 0.0021 | 1.52 | 0.0453 |
| OLS | OLI = 0.0172 + 0.9071 ETM+ | ||||||
| OLS | ETM+ = 0.0116 + 0.9165 OLI |