کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4459088 | 1621273 | 2012 | 14 صفحه PDF | دانلود رایگان |

Systematic error in long-term satellite data records resulting from inter-sensor differences or other persistent influences such as satellite orbital drift can greatly affect the use of these data to monitor land surface dynamics and trends. In this research an identification and correction procedure for systematic error is developed and used to evaluate the NOAA AVHRR long-term satellite data record produced by the Canada Center for Remote Sensing (CCRS). The record is composed of observations acquired by seven AVHRR sensors during the period 1985–2011. It includes two types of AVHRR sensor: AVHHR-2 flown onboard NOAA-9, -11, and ‐14, and AVHRR-3 onboard NOAA-16, -17, -18 and ‐19. Systematic error between sensors was identified through evaluation of synchronized nadir overpass (SNO) observations. The first order systematic error correction was derived from SNO comparison and then further optimized using a reference calibration target. Examination showed considerable difference between AVHRR-2 and AVHRR-3 measurements, which are largely attributed to differences in sensor design characteristics, uncertainty in sensor radiometric calibration, and imperfections in data processing. The results also show overall higher consistency between data from missions with AVHRR-3 than with AVHRR-2 sensors. The developed approach for correction of systematic error in time series was validated based on statistical analysis of eight independent pseudo-invariant targets not used for the initial correction development. Trends in these targets largely caused by the difference between AVHRR-2 and ‐3 sensors are shown to be removed or reduced after the correction was applied.
► Identification and quantification of systemic error in satellite data time series.
► Correction for systematic error using SNO and a reference calibration target.
► Evaluation of AVHRR time series quality over Canada from 1985 to 2011.
► Characterization of sensor inter-calibration for the AVHRR 2 and 3 sensors.
Journal: Remote Sensing of Environment - Volume 127, December 2012, Pages 84–97