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...
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| Published in | International journal of remote sensing Vol. 29; no. 3; pp. 665 - 672 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Abingdon
Taylor & Francis
01.02.2008
Taylor and Francis |
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| Abstract | 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. |
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| AbstractList | Calibrating remotely sensed data to reflectance maximizes their quantitative utility. Many approaches exist for calibrating to reflectance (rho), 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. 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. |
| Author | Groeneveld, D. P. Baugh, W. M. |
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| Keywords | Thematic Mapper reflectance techniques Space remote sensing Landsat data processing solar radiation Pixel radiance quality |
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| References | Ben‐Dor E. (ref3) 1994; 60 ref14 Chavez P. S. (ref5) 1996; 62 ref20 Roberts D. A. (ref15) 1985 ref11 ref2 Freemantle J. R. (ref10) 1992 ref17 RSI (ref16) 2003 ref19 ref18 McArdle S. S. (ref13) 1992 ref9 ref4 Clark R. N. (ref7) 2002 ASD (ref1) 2006 Conel J. E. (ref8) 1987; 834 Kruse F. A. (ref12) 1990; 56 |
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| Snippet | Calibrating remotely sensed data to reflectance maximizes their quantitative utility. Many approaches exist for calibrating to reflectance (ρ), one of which is... Calibrating remotely sensed data to reflectance maximizes their quantitative utility. Many approaches exist for calibrating to reflectance (rho), one of which... |
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| Title | Empirical proof of the empirical line |
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