Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 46,
  • Issue 4,
  • pp. 640-644
  • (1992)

Spectral and Physical Properties of Some Desert Soils: Implications for Remote Spectroscopic Terrain Analysis in Arid Regions

Not Accessible

Your library or personal account may give you access

Abstract

Spectral structure between 2.5 and 13.5 μm of a variety of soils collected from the U.S. Southwest and Saudi Arabia is shown to provide qualitative information about composition and texture. Calcite and gypsum, soil components playing significant roles in determining surface hardness, exhibit diagnostic features between 3 and 5 μm which may permit their identification via remote sensing. Gypsum also exhibits high surface reflectance at 8.7 μm; however this feature would be unreliable in a natural setting because it falls in the same spectral region in which quartz displays its strong fundamental. Silicate reflectance between 8 and 12 μm decreases with particle size; thus inferences of soil particle size and texture can potentially be made from spectral data in this region. Such information can be of military importance for forecasting regional vehicle trafficability and dust potential, often crucial concerns in the planning and conduction of tactical field operations.

PDF Article
More Like This
Infrared Spectral Reflectance of Some Common Minerals

W. A. Hovis
Appl. Opt. 5(2) 245-248 (1966)

Simulator for remote sensing and its application to soil moisture measurements

Hidesaburo Genda and Hiroshi Okayama
Appl. Opt. 17(5) 807-813 (1978)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.