scale,resolution,types
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SCALE
"Scale" which indicates the relationship between a distance on the map and the
distance on the ground.
The map scale is usually located in the legend box of a map, which explains the
symbols and provides other important information about the map
RF - Ratio or Representative Fraction indicates how many units on the earth's surface is
equal to one unit on the map. It can be expressed as 1/100,000 or 1:100,000. In this example,
one cm on the map equals 100,000 cm (1 km) on the earth. It also means that one inch on the
map is equal to 100,000 inches on the land.
Maps are often two types:
Large scale
Small scale.
Medium scale
A large scale map refers to one which shows greater detail; objects are relatively
large because the representative fraction (e.g. 1/25,000) is a larger fraction
A small scale map ,where objects are relatively small which would have an RF of
1/250,000 to 1/7,500,000.
Large scale maps will have a RF of 1:50,000 or greater (i.e. 1:10,000). Those
between 1:50,000 to 1:250,000 are maps with an intermediate scale or medium scale
maps.
Ex:
1. For example a town planner who is used to working with plans at 1:1000, may
consider 1:25 000 a small scale map.
2. atlas compiler commonly working with maps of scales 1:5 000 000 would consider
1:25 000 a large scale map.
To understand the use of the terms, the ratio method of showing map scale:
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The ratio 1:10 000 - means that the size of objects on the map is 1/10 000 of
their size on the ground..
Large scale map Small scale map
Large scale maps show a small area
in greater detail
Small scale maps show a larger area in
less detail.
They are guide maps or topographic
maps.
They are wall maps, or atlas maps.
Details of cities, towns, villages are
shown.
They show important features like
mountains, plateaus,
continents and countries,etc.,
The scale may be 1 cm = 50 m or 1
km.
Scale may be 1 cm = 100 km
REFERENCE :
1. http://geography.about.com/cs/maps/a/mapscale.htm
2.
http://eps.mq.edu.au/courses/GEOS264/maps/mapch2/lscale.htm
http://geography.about.com/cs/maps/a/mapscale.htmhttp://geography.about.com/cs/maps/a/mapscale.htmhttp://eps.mq.edu.au/courses/GEOS264/maps/mapch2/lscale.htmhttp://eps.mq.edu.au/courses/GEOS264/maps/mapch2/lscale.htmhttp://eps.mq.edu.au/courses/GEOS264/maps/mapch2/lscale.htmhttp://geography.about.com/cs/maps/a/mapscale.htm -
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RESOLUTION
GeneralComputing :
The smallest spacing between two display elements, expressed as dots per inch, pixels per
line, or lines per millimeter.
Cartography :
The detail with which a map depicts the location and shape of geographic features. The larger
the map scale, the higher the possible resolution. As scale decreases, resolution diminishes
and feature boundaries must be smoothed, simplified, or not shown at all; for example, small
areas may have to be represented as points.
GIS :
Refers to how accurately the location and shape of map features can be depicted at a given
scale.The resolution of digital images can be described in many different ways.
Pixel resolution
An image of N pixels high by M pixels wide can have any resolution less than N
lines per picture height, or N TV lines.
When the pixel counts are referred to as resolution, the convention is to describe
thepixel resolutionwith the set of two positive integer numbers, where the first
number is the number of pixel columns (width) and the second is the number of pixel
rows (height), for example as 640 by 480.
Another popular convention is to cite resolution as the total number of pixels in the
image, typically given as number of megapixels, which can be calculated by
multiplying pixel columns by pixel rows and dividing by one million.
Other conventions include describing pixels per length unit or pixels per area unit,
such aspixels per inch or per square inch. None of thesepixel resolutions are true
resolutions, but they are widely referred to as such; they serve as upper bounds on
image resolution.
Below is an illustration of how the same image might appear at different pixel resolutions, if
the pixels were poorly rendered as sharp squares (normally, a smooth image reconstruction
http://wiki.gis.com/wiki/index.php?title=Pixels_per_inch&action=edit&redlink=1http://wiki.gis.com/wiki/index.php?title=Pixels_per_inch&action=edit&redlink=1 -
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Spectral resolution
Spectral resolution describes the ability of a sensor to define fine wavelength
intervals. The finer the spectral resolution, the narrower the wavelength range for a
particular channel or band
Spectral resolution
here the finer spectral resolution is colour film.
Many remote sensing systems record energy over several separate wavelength ranges
at various spectral resolutions. These are referred to as multi-spectral sensors
Advanced multi-spectral sensors called hyperspectral sensors, detect hundreds of
very narrow spectral bands throughout the visible,near-infrared, and mid-infrared
portions of the electromagnetic spectrum. Their very high spectral resolution
facilitates fine discrimination between different targets based on their spectral
response in each of the narrow bands.
Temporal resolution
The concept of revisitperiod, which refers to the length of time it takes for a satellite
to complete one entire orbit cycle. The revisit period of a satellite sensor is usually
several days. Therefore the absolute temporal resolution of a remote sensing system to
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image the exact same area at the same viewing angle a second time is equal to this
period.
The actual temporal resolution of a sensor depends on a variety of factors, including
the satellite/sensor capabilities, the swath overlap, and latitude.
Temporal resolution
The ability to collect imagery of the same area of the Earth's surface at different
periods of time is one of the most important elements for applying remote sensingdata.
Spectral characteristics of features may change over time and these changes can be
detected by collecting and comparing multi-temporal imagery. For example, during
the growing season, most species of vegetation are in a continual state of change and
our ability to monitor those subtle changes.
Radiometric resolution The arrangement of pixels describes the spatial structure of an image, the radiometric
characteristics describe the actual information content in an image.
Every time an image is acquired on film or by a sensor, its sensitivity to the
magnitude of the electromagnetic energy determines the radiometric resolution.
The radiometric resolution of an imaging system describes its ability to discriminate
very slight differences in energy .
The finer the radiometric resolution of a sensor, the more sensitive it is to detecting
small differences in reflected or emitted energy.
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Radiometric resolution determines how finely a system can represent or distinguish
differences ofintensity,and is usually expressed as a number of levels or a number
ofbits,for example 8 bits or 256 levels which is typical of computer image files.
The higher the radiometric resolution, the better subtle differences of intensityorreflectivity can be represented, at least in theory. In practice, the effective
radiometric resolution is typically limited by the noise level, rather than by the
number of bits of representation.
Coarser resolution Finer resolution
References :
1. http://wiki.gis.com/wiki/index.php/Image_resolution
2. http://www.cedareden.com/cdea/gis/scale/frame.html
3. http://support.esri.com/en/knowledgebase/GISDictionary/term/resolution
http://wiki.gis.com/wiki/index.php?title=Intensity&action=edit&redlink=1http://wiki.gis.com/wiki/index.php/Bithttp://wiki.gis.com/wiki/index.php?title=Reflectivity&action=edit&redlink=1http://wiki.gis.com/wiki/index.php/Image_resolutionhttp://wiki.gis.com/wiki/index.php/Image_resolutionhttp://www.cedareden.com/cdea/gis/scale/frame.htmlhttp://www.cedareden.com/cdea/gis/scale/frame.htmlhttp://support.esri.com/en/knowledgebase/GISDictionary/term/resolutionhttp://support.esri.com/en/knowledgebase/GISDictionary/term/resolutionhttp://support.esri.com/en/knowledgebase/GISDictionary/term/resolutionhttp://www.cedareden.com/cdea/gis/scale/frame.htmlhttp://wiki.gis.com/wiki/index.php/Image_resolutionhttp://wiki.gis.com/wiki/index.php?title=Reflectivity&action=edit&redlink=1http://wiki.gis.com/wiki/index.php/Bithttp://wiki.gis.com/wiki/index.php?title=Intensity&action=edit&redlink=1