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Proceedings Paper

Remote Sensing Of Vegetation At Regional Scales
Author(s): Forrest G Hall
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Paper Abstract

The concept of inferring surface cover type and condition from measurements of reflected or emitted radiation has its roots in spectroscopy. In that discipline physicists and physical chemists enjoyed great success in identifying chemical compounds from observing their "spectral signatures." Much of the early research in remote sensing followed this paradigm. Reflectance spectra were obtained for various natural materials: leaf reflectances and transmittances (refs. 1,2,3), and soils reflectance (refs. 4,5) to name a few. Spectral signature catalogs were developed (ref. 6). While these and smaller studies were quite useful and provided the rationale for the band selection of modern aircraft and spacecraft multispectral sensors, it became evident that the paradigm which had provided the basis for the spectroscopic identification of materials, was incomplete when applied to the inference of type and condition of materials in a natural environment. Briefly stated, it was found that one could not collect a remote sensing signature from an unknown ground cover class at a particular time and place and match that signature with an a priori catalog value to infer the properties of the unknown cover class. Thus, for remote sensing, the traditional definition of "spectral signature" found limited utility.

Paper Details

Date Published: 16 October 1984
PDF: 11 pages
Proc. SPIE 0475, Remote Sensing: Critical Review of Technology, (16 October 1984); doi: 10.1117/12.966242
Show Author Affiliations
Forrest G Hall, NASA Johnson Space Center (United States)


Published in SPIE Proceedings Vol. 0475:
Remote Sensing: Critical Review of Technology
Philip N. Slater, Editor(s)

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