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Calibration of WorldView-2 satellite imagery to reflectance data using an empirical line method


Staben, GW and Pfitzner, K and Bartolo, R and Lucieer, A, Calibration of WorldView-2 satellite imagery to reflectance data using an empirical line method, Proceedings of the 34th International Symposium on Remote Sensing of Environment (ISRSE34), April 2011, Sydney, Australia (2011) [Non Refereed Conference Paper]

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Obtaining accurate quantitative information from multispectral satellite data requires the conversion of raw digital numbers (DN) to reflectance. Sensor characteristics, illumination geometry and atmospheric conditions affect the signal received by a multispectral satellite sensor. In this paper an empirical line method is used to calibrate an eight band multispectral WorldView-2 image. Correction for illumination geometry and atmospheric attenuation in the imagery was achieved by developing a non-linear relationship between top of atmosphere (TOA) spectral radiance and surface reflectance values measured from field targets, using an (ASD Inc) FieldSpecPro spectrometer. An accuracy assessment was undertaken by comparing image reflectance values against the surface reflectance values of 17 field targets. The overall accuracy based on the RMSE for the eight bands ranged between 0.69 2.35% with the greatest variance in the near infrared bands. The results of this study show that empirical line methods can be used to successfully calibrate WorldView-2 satellite imagery to reflectance data.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:atmospheric correction, empirical line method, WorldView-2
Research Division:Earth Sciences
Research Group:Physical geography and environmental geoscience
Research Field:Physical geography and environmental geoscience not elsewhere classified
Objective Division:Environmental Management
Objective Group:Management of Antarctic and Southern Ocean environments
Objective Field:Assessment and management of Antarctic and Southern Ocean ecosystems
UTAS Author:Lucieer, A (Professor Arko Lucieer)
ID Code:76702
Year Published:2011
Deposited By:Geography and Environmental Studies
Deposited On:2012-03-09
Last Modified:2012-10-22
Downloads:6 View Download Statistics

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