Gm. Smith et Pj. Curran, THE SIGNAL-TO-NOISE RATIO (SNR) REQUIRED FOR THE ESTIMATION OF FOLIARBIOCHEMICAL CONCENTRATIONS, International journal of remote sensing, 17(5), 1996, pp. 1031-1058
This paper compares estimates of the signal-to-noise ratio (SNR) requi
red by imaging spectrometers for the estimation of foliar biochemical
concentrations and the SNR currently achieved by the Airborne Visible/
Infrared Imaging Spectrometer (AVIRIS). The work was comprised of thre
e sections. Section 1: the SNR required by imaging spectrometers was e
stimated by modelling three data sets, each of which more closely appr
oximated the data recorded by the AVIRIS. The remaining stages were co
ncerned with estimating the SNR currently achieved by the AVIRIS. Sect
ion 2: SNR estimates made as part of instrument calibration were scale
d to those that would be expected when viewing vegetation, and section
3: SNR was estimated directly from AVIRIS imagery. The results of the
se three sections were then compared to assess the SNR performance of
the AVIRIS and its utility for the estimation of foliar biochemical co
ncentrations. The SNR of the AVIRIS is planned to double between 1994-
5 and while this sensor was barely adequate for the estimation of foli
ar biochemical concentrations in 1992-3 it should be more than adequat
e from 1995 onwards.