An overview of sensor calibration inter-comparison and applications
Frontiers of Earth Science in China
By: Xiaoxiong Xiong, Changyong Cao, and Gyanesh Chander
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Abstract
Long-term climate data records (CDR) are often constructed using observations made by multiple Earth observing sensors over a broad range of spectra and a large scale in both time and space. These sensors can be of the same or different types operated on the same or different platforms. They can be developed and built with different technologies and are likely operated over different time spans. It has been known that the uncertainty of climate models and data records depends not only on the calibration quality (accuracy and stability) of individual sensors, but also on their calibration consistency across instruments and platforms. Therefore, sensor calibration inter-comparison and validation have become increasingly demanding and will continue to play an important role for a better understanding of the science product quality. This paper provides an overview of different methodologies, which have been successfully applied for sensor calibration inter-comparison. Specific examples using different sensors, including MODIS, AVHRR, and ETM+, are presented to illustrate the implementation of these methodologies.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | An overview of sensor calibration inter-comparison and applications |
| Series title | Frontiers of Earth Science in China |
| DOI | 10.1007/s11707-010-0002-z |
| Volume | 4 |
| Issue | 2 |
| Year Published | 2010 |
| Language | English |
| Publisher | Springer |
| Publisher location | Amsterdam, Netherlands |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 16 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Frontiers of Earth Science in China |
| First page | 237 |
| Last page | 252 |
| Google Analytic Metrics | Metrics page |