Calibration of dual-beam spectroradiometric data


Anderson, K, Milton, E.J. and Rollin, E.M. (2006) Calibration of dual-beam spectroradiometric data. International Journal of Remote Sensing, 27, (5), 975-986. (doi:10.1080/01431160500213375).

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Description/Abstract

An experiment to determine the most accurate and repeatable method for generating instrument inter-calibration functions (ICFs) is described, based upon data collected with a dual-beam GER1500 spectroradiometer system. The quality of reflectance data collected using a dual-beam spectroradiometer system is reliant upon accurate inter-calibration of the sensor pairs to take into account differences in their radiant sensitivity and spectral characteristics. A cos-conical field-based method for inter-calibrating dual-beam spectroradiometers was tested alongside laboratory inter-calibration procedures.

The field-based method produced the most accurate results when a field-derived ICF collected close in time was used to correct the spectral scan. A regression model to predict the ICF at a range of wavelengths was tested, using inputs of solar zenith angle, cosine of solar zenith angle and broadband diffuse-to-global irradiance ratios. The linear multiple regression model described up to 78% of the variability in ICF; the remainder of the variability was most likely due to complexities of instrumental
behaviour in response to warm-up time, ambient temperature and environmental conditions at the time of measurement. Collection of ICFs using a stable laboratory source was shown to provide unsatisfactory results due to differences between lamp outputs and the field-measured solar spectrum. Consequently, the most practical and accurate method of deriving inter-calibration functions is to use field-derived ICFs, collected close in time and space to the data requiring correction.

Item Type: Article
ISSNs: 0143-1161 (print)
Related URLs:
Keywords: calibration, spectroradiometer, methodology
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Divisions: University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
ePrint ID: 28622
Date Deposited: 03 May 2006
Last Modified: 27 Mar 2014 18:17
Contact Email Address: Karen.Anderson@exeter.ac.uk
URI: http://eprints.soton.ac.uk/id/eprint/28622

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