| Raster Data Types Many
different types of Raster Data are available from ICREST. The following
definitions broadly describe the four main groups.
Satellite Imagery
Electromagnetic energy captured by sensors on
board a satellite in Earth orbit provides representation of the
measurement of energy emitted or reflected by the Earth in a variety
of wavelengths. Earth observation imagery takes a number of forms,
of which the most traditional are optical and near-infrared radiation,
from about 0.4 (blue) to 2.0 (IR) micrometers. Apart from visual
and near-infrared, other bands of the spectrum commonly used include
thermal infrared (heat) and microwave (radar). Each of these has
its own applications. There are very many satellites carrying an
wide array of sensors. Traditionally, most of these were developed,
launched and operated under Government control. In more recent years,
commercially built and launched satellite platforms and sensors
have become more common. Please see the Sensors area of this web
site for more information and examples images.
Aerial Photography
Aerial Photography can be analog or digital imagery
taken from an airplane. The optical axis is oriented perpendicular
to the earth's surface so that the film or sensor is parallel to
the surface being photographed. (also Vertical Aerial Photography).
A sequence of aerial photographs may overlap so the photos can be
used in stereoscopic analysis (stereo pairs). The overlap is referred
to as 'endlap' (top-to-bottom area in common, same flightline) and
'sidelap' (side-to-side area in common, different flightlines).
Aerial photography can be monochrome or color in the visible spectrum
or can sense radiation outside the visible spectrum for example
in the infrared band of the electromagnetic spectrum.
Uses
Aerial photography has many different uses for example cartographers
and planners take detailed measurements from aerial photos in the
preparation of maps or trained interpreters utilize aerial photos
to determine land-use and environmental conditions, among other
things.
Although both maps and aerial photos present a
"bird's-eye" view of the earth, aerial photographs are
NOT maps. Maps are orthogonal representations of the earth's surface,
meaning that they are directionally and geometrically accurate (at
least within the limitations imposed by projecting a 3-dimensional
object onto 2 dimensions). Aerial photos, on the other hand, display
a high degree of radial distortion. That is, the topography is distorted,
and until corrections are made for the distortion, measurements
made from a photograph are not accurate. Nevertheless, aerial photographs
are a powerful tool for studying the earth's environment.
Because most GISs can correct for radial distortion,
aerial photographs are an excellent data source for many types of
projects, especially those that require spatial data from the same
location at periodic intervals over a length of time. Typical applications
include land-use surveys and habitat analysis.
Aerial photography provides many benefits and
serves many applications especially when properly integrated into
a Geographic Information System.
Example Product
Digital Orthophoto Quadrangle - Aerial photography of the Earth's
surface, usually provided in GeoTIFF form, but also seen in other
formats. A DOQ for a 7.5-min., 1:24000-scale quad is very large,
thus the common use of DOQQs--digital orthophoto quarter quadrangles.
Digital Elevation Model (DEM)
A Digital Elevation Model is a "grid"
of points (usually on an even spacing) that contains both horizontal
and vertical data about the earth's surface. DEMs are commonly used
for the creation of "ortho" photos.
1. A digital representation of a continuous variable
over a two- dimensional surface by a regular array of z values referenced
to a common datum. Digital elevation models are typically used to
represent terrain relief. Also referred to as 'digital terrain model'
(DTM).
2. An elevation database for elevation data by
map sheet from the National Mapping Division of the U.S. Geological
Survey (USGS).
3. The format of the USGS digital elevation data
sets.
An alternative definition could be: A model of
terrain relief in the form of a MATRIX. Each element of the DEM
is regarded as a node of an imaginary grid. The gird is defined
by identifying one of its corner (lower left usually), the distance
between nodes in both the X and Y directions, the number of nodes
in both the X and Y directions and the gird orientation.
Digital Raster Graphic
Digital Raster Graphics are raster images of standard
quadrangle format USGS topographic maps. A DRG is a raster image
of a scanned USGS topographic or planimetric map including the collar
information, georeferenced to the UTM grid. A DRG is useful as a
source or background layer in a GIS as a means to perform quality
assurance on other digital products, and as a source for the collection
and revision of vector data.
Within the 1:24,000 and 1:25,000 series are included
Provisional (P) maps as well as Orthophotomaps. DRG's retain the
geometric and visual qualities of the source maps in all respects
with two exceptions; DRG's are referenced to the UTM grid, and the
colors of the DRG may differ slightly from the original printed
map. They serve a variety of purposes, from use as backgrounds in
a geographic information system (GIS) to source for collecting or
revising USGS base cartographic data. The DRG shows potential as
a tool for validating and assessing other non-USGS digital data.
DRG's can be combined with DOQ's, DEM's, and DLG's, or combinations
of each to create several "hybrid" products, each with
its own unique applications. DRG prototypes have been utilized as
"browse images" on USGS data management systems, and may
serve similar functions in production systems and sales databases.
While a DRG can be made from any map, the DRG program is oriented
primarily toward the production of digital raster graphics from
1:24,000 and 1:25,000 USGS topographic maps to be used in the validation
and revision of digital line graph data. DRG's adhere to the USGS
NMPTI Standards for Digital Raster Graphics. |