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Remote Sensing Glossary for Teachers and
Students
(Grades 6-12)
| A-D | E-G | H-M | N | O-Z | Bibliography |
Terms, Definitions and Concepts (H-M)
Image: Pictorial representation of data acquired
by satellite systems, such as direct readout images from environmental
satellites. An image is not a photograph. An image is composed of
two-dimensional grids of individual picture elements (pixels). Each pixel
has a numeric value that corresponds to the radiance or temperature of the
specific ground area it depicts. See gray scale.
Image resolution: The area represented by each pixel
of a satellite image. The smaller the area represented by a pixel, the
more accurate and detailed the image. For example, if a U.S. map and a
world map are printed on identically sized sheets of paper, one square
inch on the U.S. map will represent far less area and provide for more
detail than one square inch on the world map. In this example the U.S. map
has higher resolution. Landsat satellites have a resolution of 30 meters,
AVHRR has a resolution of 1 km and Spot resolution is 10 meters.
Infrared radiation (IR): Infrared is electromagnetic
radiation whose wavelength spans the region from about 0.7 to 1000
micrometers (longer than visible radiation, shorter than microwave
radiation). Remote sensing instruments work by sensing radiation that is
naturally emitted or reflected by the Earth's surface or from the
atmosphere, or by sensing signals transmitted from a satellite and
reflected back to it. In the visible and near-infrared regions, surface
chemical composition, vegetation cover, and biological properties of
surface matter can be measured. In the mid-infrared region, geological
formations can be detected due to the absorption properties related to the
structure of silicates. In the far infrared, emissions from the Earth's
atmosphere and surface offer information about atmospheric and surface
temperatures and water vapor and other trace constituents in the
atmosphere. Since IR data are based on temperatures rather than visible
radiation, the data may be obtained day or night.
IR See infrared.
Landsat Land Remote-Sensing Satellite, operated by the
U.S. Earth Observation Satellite Company (EOSAT). Commercialized under the
Land Remote-Sensing Commercialization Act of 1984, Landsat is a series of
satellites (formerly called ERTS) designed to gather data on the Earth's
resources in a regular and systematic manner. Objectives of the mission
are: land use inventory, geological/mineralogical exploration, crop and
forestry assessment, and cartography. Landsat has a spatial resolution of
28.5 meters.
Restructured Federal agency responsibilities for the Landsat program
are effective for the acquisition and operation of Landsat 7. New
operating policy specifies that NOAA will be responsible for satellites
after they are placed in orbit, NASA will be responsible for the
development and launch of Landsat 7, and that the U.S. government will
provide unenhanced data to users at no cost beyond the cost of fulfilling
their data request.
Latitude (AKA the geodetic latitude): The angle
between a perpendicular at a location, and the equatorial plane of the
Earth.
Light: 1. Form of radiant energy that acts upon the
retina of the eye, optic nerve, etc., making sight possible. This energy
is transmitted at a velocity of about 186,000 miles per second by wavelike
or vibrational motion. 2. A form of radiant energy similar to this, but
not acting on the normal retina, such as ultraviolet and infrared
radiation.
Interplay between light rays and the atmosphere cause us to see the sky
as blue, and can result in such phenomena as glows, halos, arcs, flashes,
and streamers.
Longitude: The angular distance from the Greenwich
meridian (0 degree), along the equator. This can be measured either east
or west to the 180th meridian (180 degrees) or 0 degree to 360 degrees W.
Middle infrared: Electromagnetic radiation between the
near infrared and the thermal infrared, about 2-5 micrometers.
MultiSpec: MultiSpec is being developed at Purdue University,
West Lafayette, IN, by David Landgrebe and Larry Biehl from the School of
Electrical and Computer Engineering and LARS. It results from an on-going
multiyear research effort that is intended to define robust and
fundamentally based technology for analyzing multispectral and
hyperspectral image data. The results of the research are implemented into
MultiSpec and made available to the user community via the download pages.
(MultiSpec Homepage http://dynamo.ecn.purdue.edu/~biehl/MultiSpec/)
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