Examples of high resolution visible to near-infrared reflectance spectra and a standardized collection for remote sensing studies

Abstract Abstract. A number of sets of high resolution (001 μm or better) spectra are described which span the major part to the visible short-wave infrared spectrum (0.4-2.5μm). These data sets include soils, both wet and dry, conventional agriculture, grasses, and shrubs, igneous and sedimentary rocks, minerals, and a variety of fabrics, building materials, and metals. Most are from the laboratory, some are field measurements. These collections do not include bi-directional reflectance data sets, nor limited domain (∼0.4-l.0μm) visible near-infrared spectral data sets. To facilitate intercomparisons and spectral matching with remotely-sensed data such as the aircraft instrument (AVIRIS) a standardized collection is described in which all spectra are presented at 0.01μm intervals, in a common format. This collection is available for research studies on a PC diskette.

[1]  W. Cohen Response of vegetation indices to changes in three measures of leaf water stress , 1991 .

[2]  D. E. Bowker,et al.  Spectral reflectances of natural targets for use in remote sensing studies , 1985 .

[3]  J. C. Price,et al.  Estimating leaf area index from satellite data , 1993, IEEE Trans. Geosci. Remote. Sens..

[4]  E. R. Stoner,et al.  Atlas of soil reflectance properties , 1979 .

[5]  Warren B. Cohen Chaparral vegetation reflectance and its potential utility for assessment of fire hazard , 1991 .

[6]  Darrel L. Williams,et al.  Data sets for modeling: A retrospective collection of bidirectional reflectance and forest ecosystems dynamics multisensor aircraft campaign data sets , 1993 .

[7]  Warren B. Cohen,et al.  Temporal versus spatial variation in leaf reflectance under changing water stress conditions , 1991 .

[8]  D. M. Moss,et al.  Spectral reflectance measurements in the genus Sphagnum , 1993 .

[9]  S. Hook,et al.  Laboratory Reflectance Spectra of 160 Minerals, 0.4 to 2.5 Micrometers , 1992 .

[10]  Robert W. Basedow,et al.  HYDICE: an airborne system for hyperspectral imaging , 1993, Defense, Security, and Sensing.

[11]  J. C. Price Variability of high-resolution crop reflectance spectra , 1992 .

[12]  Frédéric Baret,et al.  Modeled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands , 1992 .

[13]  Gregg Vane,et al.  First Results From The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) , 1987, Optics & Photonics.

[14]  M. Fukuhara,et al.  Estimation of complex refractive index of soil particles and its dependence on soil chemical properties , 1991 .

[15]  J. C. Price,et al.  Band selection procedure for multispectral scanners. , 1994, Applied optics.

[16]  P. Deschamps,et al.  Description of a computer code to simulate the satellite signal in the solar spectrum : the 5S code , 1990 .

[17]  Earnest D. Paylor,et al.  Spectral reflectance characterization (0.4 to 2.5 and 8.0 to 12.0 mu m) of Phanerozoic strata, Wind River basin and southern Bighorn Basin areas, Wyoming , 1990 .

[18]  K. I. Kondratʹev Radiation in the atmosphere , 1969 .

[19]  Darrel L. Williams A comparison of spectral reflectance properties at the needle, branch, and canopy level for selected Conifer species , 1991 .