364
5. CONCLUSIONS
Reasonable correlations were found between the first derivative of canopy spectral reflectance at 1142nm
and wet%. However, the strength of this relationship and the wavelength position of the maximum was
found to be sensitive to the degree of spectral smoothing. This sensitivity is attributed to the different levels
of smoothing emphasising different spectral features across a spectral region where the two variables are
generally highly correlated. The effect emphasises in particular that the exact position of peak correlation
between the two variables should be interpreted with caution especially across spectral regions where the
correlation is generally high. A simple index of the relative depth of the water absorption feature around
1150nm was found to have a as high a correlation and to be less sensitive to data smoothing.
ACKNOWLEDGEMENTS
The authors gratefully acknowledge ESA/JRC for funding the UK EISAC’89 Campaign and BNSC-RSADU
for their role in organising the ground data collection at the Tadham Moor site during May 1989. This
exercise involved many UK research groups and the authors gratefully acknowledge the time, effort and
support of all those involved.
REFERENCES
Allen, W.A., H.W. Gausman, AJ. Richardson and R. Cardenas, 1971, Water and air changes in grapefruit,
com and cotton leaves with maturation. Agronomy Journal , 63, 392-394.
Danson, F.M., M.D. Steven, TJ. Malthus and PJ. Clark, 1992, High spectral resolution data for monitoring
leaf water content. International Journal of Remote Sensing, 13, 3045-3054.
Gausman, H.W., Allen, W.A., Cardenas, R. and AJ. Richardson, 1970, Relation of light reflectance to
histological and physical evaluation of cotton leaf maturity. Applied Optics 9, 545-552.
Kruse, F.A., O. Seznec and P.M. Krotkov, 1990, An expert system for geological mapping with imaging
spectrometers. Proceedings, Applications of Artificial Intelligence VIII, Society of Photo-Optical
Instrumentation Engineers (SPIE), v. 1293, 904-917.
Hunt, E.R. Jr. and N.R. Barrett, 1989, Detection of changes in leaf water content using Near- and middle-
infrared reflectance. Remote Sensing of Environment 30, 43-54.
Jones, A.R., A.K. Wilson, and S.A. Briggs, 1992, Monitoring Fertilizer application by imaging spectrometry
(Somerset Levels Test Site). Proceedings of the Workshop on the EISAC’89 Campaign Final Results. Joint
Research Centre, Ispra (ESArNoordwijk) 7pp.
Rollin, E.M. and EJ. Milton, 1991, The UK Natural Environment Research Council Equipment Pool for
Field Spectroscopy (NERC-EPFS), Proceedings of the 5th International Colloquium on Spectral Signatures
of Objects in Remote Sensing, Courchevel, France, 14-19 January, 1991, 837-839.