EM 1110-2-2907
1 October 2003
losing valuable information. Be sure to properly match your software requirements with
appropriate hardware capabilities.
g. Turning Digital Data into Images.
(1) Satellite data can be displayed as an image on a computer monitor by an array
of pixels, or picture elements, containing digital numbers. The composition of the image
is simply a grid of continuous pixels, known as a raster image (Figure 2-27). The digital
number (DN) of a pixel is the result of the spatial, spectral, and radiometric averaging of
reflected/emitted radiation from a given area of ground cover (see below for information
on spatial, spectral, and radiometric resolution). The DN of a pixel is therefore the aver-
age radiance of the surface area the pixel represents.
Figure 2-27. Figure illustrates the collection of raster data. Black grid (left) shows what
area on the ground is covered by each pixel in the image (right). A sensor measures
the average spectrum from each pixel, recording the photons coming in from that area.
ASTER data of Lake Kissimmee, Florida, acquired 2001-08-18. Image developed for
Prospect (2002 and 2003).
(2) The value given to the DN is based on the brightness value of the radiation (see
explanation above and Figure 2-28). For most radiation, an 8-bit scale is used that corre-
sponds to a value range of 0255 (Table 2-4). This means that 256 levels of brightness
(DN values are sometimes referred to as brightness values--Bv) can be displayed, each
representing the intensity of the reflected/emitted radiation. On the image this translates
to varying shades of grays. A pixel with a brightness value of zero (Bv = 0) will appear
black; a pixel with a Bv of 255 will appear white (Figure 2-29). All brightness values in
the range of Bv = 1 to 254 will appear as increasingly brighter shades of gray. In Figure 2-
30, the dark regions represent water-dominated pixels, which have low reflectance/Bv,
while the bright areas are developed land (agricultural and forested), which has high re-
flectance.
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