Paper
24 November 1995 Temporal measurement and analysis of high-resolution spectral signatures of plants and relationships to biophysical characteristics
Charles R. Bostater Jr., Jan Rebbman, Carlton Hall, Mark Provancha, David Vieglais
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Abstract
Measurements of temporal reflectance signatures as a function of growing season for sand live oak (Quercus geminata), myrtle oak (Q. myrtifolia, and saw palmetto (Serenoa repens) were collected during a two year study period. Canopy level spectral reflectance signatures, as a function of 252 channels between 368 and 1115 nm, were collected using near nadir viewing geometry and a consistent sun illumination angle. Leaf level reflectance measurements were made in the laboratory using a halogen light source and an environmental optics chamber with a barium sulfate reflectance coating. Spectral measurements were related to several biophysical measurements utilizing optimal passive ambient correlation spectroscopy (OPACS) technique. Biophysical parameters included percent moisture, water potential (MPa), total chlorophyll, and total Kjeldahl nitrogen. Quantitative data processing techniques were used to determine optimal bands based on the utilization of a second order derivative or inflection estimator. An optical cleanup procedure was then employed that computes the double inflection ratio (DIR) spectra for all possible three band combinations normalized to the previously computed optimal bands. These results demonstrate a unique approach to the analysis of high spectral resolution reflectance signatures for estimation of several biophysical measures of plants at the leaf and canopy level from optimally selected bands or bandwidths.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles R. Bostater Jr., Jan Rebbman, Carlton Hall, Mark Provancha, and David Vieglais "Temporal measurement and analysis of high-resolution spectral signatures of plants and relationships to biophysical characteristics", Proc. SPIE 2585, Remote Sensing for Agriculture, Forestry, and Natural Resources, (24 November 1995); https://doi.org/10.1117/12.227193
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Cited by 4 scholarly publications.
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KEYWORDS
Reflectivity

Absorption

Biological research

Nitrogen

Remote sensing

Spectral resolution

Backscatter

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