You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print format on
SPIE.org.
Abstract
The discussion of remote sensing up to this point has focused on panchromatic (black & white) imagery. Beyond recording obvious features of size and shape, remote sensing excels in capturing and interpreting color. Color systems also yield some spectacular imagery. For example, in this early "true-color" image from Landsat 7, we perceive the green hillsides and muddy runoff of the upper San Francisco bay (Fig. 5.1).
5.1 Reflectance of Materials
The reflectance of most materials varies with wavelength. This allows spectral imagers, such as those on the Landsat missions, to distinguish different materials. Distinguishing between minerals is a fairly common goal for such work by geologists.
In Fig. 5.2, different aspects of reflective spectra are illustrated. Spectra are the fingerprints of elements, deriving from their fundamental atomic characteristics, as indicated in our discussion of Bohr's model of the hydrogen atom. One of the more important, and dramatic, spectral features found in remote sensing is the "IR ledge" at 0.7 μ¼m, as found in Fig. 5.2. This dramatic rise in reflectance with wavelength makes vegetation appear bright in the infrared (old-style, black-and-white infrared film would show vegetation as white, for example). The military designs camouflage to mimic this behavior. The panchromatic sensors on Landsat, SPOT, IKONOS, and Quickbird extend well into the infrared, and as a result, vegetation is bright in their imagery.
Online access to SPIE eBooks is limited to subscribing institutions.