Next Article in Journal
Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images
Previous Article in Journal
Interannual Changes of Fire Activity in the Protected Areas of the SUN Network and Other Parks and Reserves of the West and Central Africa Region Derived from MODIS Observations
Remote Sens. 2010, 2(2), 464-477; doi:10.3390/rs2020464

Radiometric Calibration for AgCam

1,* , 2,†
1 The Northern Great Plains Center for People and the Environment, University of North Dakota, Grand Forks, ND 58202-9011,USA 2 Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100012, P.R. China 3 Ocean Remote Sensing Institute, Ocean University of China, Qingdao, Shandong, 266003, P.R.China 4 Airborne Science and Technology Laboratory, NASA Ames Research Center, Moffett Field, CA 94035, USA This work was done while Changyong Dou was a visiting student at the University of North Dakota, USA
* Author to whom correspondence should be addressed.
Received: 8 January 2010 / Revised: 25 January 2010 / Accepted: 26 January 2010 / Published: 1 February 2010
View Full-Text   |   Download PDF [3285 KB, uploaded 19 June 2014]   |  


The student-built Agricultural Camera (AgCam) now onboard the International Space Station observes the Earth surface through two linescan cameras with Charge-Coupled Device (CCD) arrays sensitive to visible and near-infrared wavelengths, respectively. The electro-optical components of the AgCam were characterized using precision calibration equipment; a method for modeling and applying these measurements was derived. Correction coefficients to minimize effects of optical vignetting, CCD non-uniform quantum efficiency, and CCD dark current are separately determined using a least squares fit approach. Application of correction coefficients yields significant variability reduction in flat-field images; comparable results are obtained when applied to ground test images.
Keywords: radiometric calibration; CCD quantum efficiency; vignetting; least squares fit; remote sensing radiometric calibration; CCD quantum efficiency; vignetting; least squares fit; remote sensing
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Olsen, D.; Dou, C.; Zhang, X.; Hu, L.; Kim, H.; Hildum, E. Radiometric Calibration for AgCam. Remote Sens. 2010, 2, 464-477.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert