| Title | Assessment of VIIRS geolocation at subpixel level using MODIS imagery |
| |
| Author | Trishchenko, A P |
| Source | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; IEEE International Geoscience and Remote Sensing Symposium proceedings 2018, 8519196, 2018 p. 1-4, https://doi.org/10.1109/IGARSS.2018.8519196 |
| Image |  |
| Year | 2018 |
| Alt Series | Natural Resources Canada, Contribution Series 20190092 |
| Publisher | IEEE |
| Meeting | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium; Valencia; ES; July 22-27, 2018 |
| Document | serial |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf (Adobe® Reader®) |
| Subjects | geophysics; remote sensing; satellite imagery; infrared spectral analyses; Methodology; Geographic data |
| Illustrations | satellite images; graphs; sketch maps; time series |
| Program | Remote Sensing Science |
| Released | 2018 11 05 |
| Abstract | The approach, sensitivity analysis and evaluation results are presented in this study for application of MODIS 250-m imagery to assess the VIIRS/S-NPP image geolocation accuracy at subpixel level. The
method employed is based on 4th degree polynomial fitting of the correlation matrix between VIIRS and MODIS reference images in the swath (pixel-line) projection. Sensitivity analysis has shown that the uncertainty from this method is better that
±0.04 of the VIIRS I-band pixel size. Analysis of geolocation accuracy conducted over the 2017 period at semi-monthly intervals has shown that the average geolocation bias for VIIRS/SNPP band I2 was 0.055 (0.003) along (across) the scan directions.
Corresponding numbers are 0.028 (-0.003) for band M7. |
| GEOSCAN ID | 314749 |
|
|