Expected improvements in the quantitative remote sensing of optically complex waters with the use of an optically fast hyperspectral spectrometer-a modeling study

Sensors
Wesley J MosesMichael Corson

Abstract

Using simulated data, we investigated the effect of noise in a spaceborne hyperspectral sensor on the accuracy of the atmospheric correction of at-sensor radiances and the consequent uncertainties in retrieved water quality parameters. Specifically, we investigated the improvement expected as the F-number of the sensor is changed from 3.5, which is the smallest among existing operational spaceborne hyperspectral sensors, to 1.0, which is foreseeable in the near future. With the change in F-number, the uncertainties in the atmospherically corrected reflectance decreased by more than 90% across the visible-near-infrared spectrum, the number of pixels with negative reflectance (caused by over-correction) decreased to almost one-third, and the uncertainties in the retrieved water quality parameters decreased by more than 50% and up to 92%. The analysis was based on the sensor model of the Hyperspectral Imager for the Coastal Ocean (HICO) but using a 30-m spatial resolution instead of HICO's 96 m. Atmospheric correction was performed using Tafkaa. Water quality parameters were retrieved using a numerical method and a semi-analytical algorithm. The results emphasize the effect of sensor noise on water quality parameter retrieval and ...Continue Reading

Citations

Sep 1, 2015·International Journal of Environmental Research and Public Health·Fernanda Sayuri Yoshino WatanabeLuiz Henrique da Silva Rotta

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Datasets Mentioned

BETA
GEO-CAPE

Software Mentioned

Tafkaa
Ecolight
Hydrolight
PRISMA
HyspIRI
MPFIT
EnMAP ( Environmental Mapping and Analysis Program )
HICO
HISUI ( Hyperspectral Imager Suite )
MINPACK

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