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Applying narrowband remote-sensing reflectance models to wideband data.
1Northern Gulf Institute, Mississippi State University, Stennis Space Center, Mississippi 39529, USA. zplee@ngi.msstate.edu
Applied Optics
|June 12, 2009
Summary
High spatial resolution remote sensing requires wide spectral bands, but applying narrow-band models to wide-band data can cause significant errors in reflectance and absorption coefficient calculations.
Area of Science:
- Ocean optics
- Remote sensing science
- Biogeochemical analysis
Background:
- Coastal and inland water remote sensing necessitates high spatial resolution to capture fine-scale biogeochemical variations.
- High spatial-resolution sensors often feature wide spectral bands (≥50 nm), posing challenges for accurate data analysis.
Purpose of the Study:
- To analyze the impact of wide spectral channels on remote sensing of optically-deep waters.
- To evaluate the accuracy of applying narrowband models to wideband remote sensing data, using Landsat band specifics as a case study.
Main Methods:
- Numerical simulations of hyperspectral remote-sensing reflectance.
- Analysis based on Landsat sensor band specifications.
Main Results:
- Simple adoption of narrowband models can lead to over 20% underestimation of remote-sensing reflectance.
- Inversion of absorption coefficients may result in over 20% overestimation, even under ideal conditions.
- Smaller uncertainties (approx. 5%) were observed for highly absorbing waters.
Conclusions:
- Caution is advised when applying narrowband models to wideband remote sensing data.
- The findings justify the use of wideband data in turbid coastal waters despite potential model inaccuracies.
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