Empirical proof of the empirical line

Calibrating remotely sensed data to reflectance maximizes their quantitative utility. Many approaches exist for calibrating to reflectance (ρ), one of which is the empirical line (EL) method. It offers high‐quality results, often to within a few per cent, but is demanding in terms of field work and analysis. The method assumes there is a linear relationship between raw digital numbers (DNs) (or radiance) and reflectance spectra of ground targets. While the EL technique is widely accepted, we have not found an exhaustive demonstration that there is a truly linear relationship between radiance/DN and reflectance factors. In this paper we present an empirical demonstration of the EL method using a data set that consists of 5304 ground spectra paired with Landsat Thematic Mapper (TM) pixels.

[1]  E. Milton,et al.  The use of the empirical line method to calibrate remotely sensed data to reflectance , 1999 .

[2]  William J. Volchok,et al.  Radiometric scene normalization using pseudoinvariant features , 1988 .

[3]  T. Malthus,et al.  The empirical line method for the atmospheric correction of IKONOS imagery , 2003 .

[4]  J. Boardman,et al.  Mineral mapping at Cuprite, Nevada with a 63-channel imaging spectrometer , 1990 .

[5]  G. Wadge,et al.  The application of imaging spectrometry data to mapping alteration zones associated with gold mineralization in southern Spain , 1996 .

[6]  M. Morana,et al.  A refined empirical line approach for reflectance factor retrieval from Landsat-5 TM and Landsat-7 ETM + , 2001 .

[7]  Eyal Ben-Dor,et al.  Quality assessment of several methods to recover surface reflectance using synthetic imaging spectroscopy data , 2004 .

[8]  F. D. van der Meer,et al.  Extraction of mineral absorption features from high - spectral resolution data using non - parametric geostatistical techniques , 1994 .

[9]  Raymond F. Kokaly,et al.  Surface Reflectance Calibration of Terrestrial Imaging Spectroscopy Data : a Tutorial Using AVIRIS , 2002 .

[10]  Kurtis J. Thome,et al.  A refined empirical line approach for reflectance factor retrieval from Landsat-5 TM and Landsat-7 ETM+ , 2001 .

[11]  Fred A. Kruse,et al.  Comparison of three calibration techniques for utilization of GER 63-channel aircraft scanner data of Makhtesh Ramon, Negev, Israel , 1994 .

[12]  Carol J. Bruegge,et al.  Airborne Imaging Spectrometer-2: Radiometric Spectral Characteristics And Comparison Of Ways To Compensate For The Atmosphere , 1987, Optics & Photonics.

[13]  V. Caselles,et al.  An alternative simple approach to estimate atmospheric correction in multitemporal studies , 1989 .

[14]  P. Chavez Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .

[15]  P. M. Teillet,et al.  Image correction for radiometric effects in remote sensing , 1986 .