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Speaker Shagufta Akbari Assistant Prof. KL University
21

Speaker Shagufta Akbari Assistant Prof. KL University.

Mar 26, 2015

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Page 1: Speaker Shagufta Akbari Assistant Prof. KL University.

Speaker Shagufta Akbari

Assistant Prof.KL University

Page 2: Speaker Shagufta Akbari Assistant Prof. KL University.

Introduction Map as a model Spatial elements and terminology Classification of Maps Map Scale Spatial referencing system Computers in map production General software’s in map production Types of data products

Page 3: Speaker Shagufta Akbari Assistant Prof. KL University.

Image interpretation strategy Levels of interpretation keys Topography Types of Drainage pattern and Texture Erosion Process of image interpretation Basic elements of image interpretation Overview on visual image interpretation

equipment

Page 4: Speaker Shagufta Akbari Assistant Prof. KL University.

Map as Model◦ Representation of features of earth drawn to scale◦ “A map is a very powerful tool and maps are

typical reductions which are smaller than the areas they portray” (Robinson et.al 1984)

Page 5: Speaker Shagufta Akbari Assistant Prof. KL University.

Spatial objects in the real world can be thought of as occurring in four easily identifiable types namely, points, lines, areas and surfaces

Points, lines and areas can be represented by using symbols to depict the real world.

Surfaces are represented by any combination of these spatial entities.

In general, all the geographic surfaces are in two tangible forms, namely, discrete and continuous.

Trees, houses, road intersections and similar items are

discrete spatial features.

Page 6: Speaker Shagufta Akbari Assistant Prof. KL University.

On the basis of scale◦ Small scale map◦ Large scale map- urban plan map, transportation

and network map

Page 7: Speaker Shagufta Akbari Assistant Prof. KL University.

The ratio between the reduced depiction on the map and the geographical features in the real world is known as the Map Scale

Scale expressed in three ways:

◦ Fractional scale-the method of representing this type of scale is called representation fraction method

Page 8: Speaker Shagufta Akbari Assistant Prof. KL University.

In India commonly used fractional map scales are 1:1,00,000,00; 1:250,000, 1:50,000; 1:25,000 and 1:10,000

Graphical Scale- A line printed on the map and divided into units that are equivalent to some distance

The measured ground distance appears directly on the map in graphical representation

Verbal Scale- This is an expression in common speech like “an inch to a mile”

Page 9: Speaker Shagufta Akbari Assistant Prof. KL University.

To locate objects with respect to some reference system

Methods of spatial referencing systems◦ Geographic coordinate systems-

Denoted by latitude and longitude

◦ Rectangular coordinate systems(RCS) Spatial data are in two-dimensional form Relative position- location of any point on the earth’s

surface w.r.t RCS

◦ Non- coordinate systems Spatial reference with descriptive codes such as postal

codes which is numeric in nature

Page 10: Speaker Shagufta Akbari Assistant Prof. KL University.

Advantages To make existing maps more at a quicker pace

To make existing maps at a cheaper rate

To make maps for specific user needs

To make map production possible in situations where skilled staff are unavailable

To allow experimentation with different graphical representations of the same data

Page 11: Speaker Shagufta Akbari Assistant Prof. KL University.

To facilitate map making and updating when the data are already in digital form

To minimize the use of the printed map as a data store and thereby to minimize the effects of classification and generalization on the quality of the data

Introduction of automation can lead to a review of the whole map – making process , which can also lead to savings and improvements

Page 12: Speaker Shagufta Akbari Assistant Prof. KL University.

Arc- GIS ARC- VIEW etc.

Page 13: Speaker Shagufta Akbari Assistant Prof. KL University.

Types of data productsDepending on correction applied & level of processing

Note: FCC are generated by combininig the data contained in three spectral bands respectively. The choice of band combinations can be determined depending upon application

Page 14: Speaker Shagufta Akbari Assistant Prof. KL University.

Image interpretation strategyVisual image interpretation : Process of

indentifying what we see on the images and communicate the information obtained from these images to others for evaluating its significance

Includes relative locations and extents

Use of data products like Satellite single band imageries, FCC for performing image interpretations to extract thematic information for subsequent input to GIS

Page 15: Speaker Shagufta Akbari Assistant Prof. KL University.

Interpretation Keys: Criterion for identification of an object with interpretation elements

Page 16: Speaker Shagufta Akbari Assistant Prof. KL University.
Page 17: Speaker Shagufta Akbari Assistant Prof. KL University.

Size of objects in an image is a function of scale

Proper photo scale selected depending on the purpose of interpretation

Most commonly measured parameters:- length, width, perimeter, area and occasionally volume

Page 18: Speaker Shagufta Akbari Assistant Prof. KL University.

Shape of an object is described as the geometric form represented form represented on an image

Regular shapes are signs of man-made objects

Irregular shapes with no distinct geometrical pattern are signs of a natural environment

Page 19: Speaker Shagufta Akbari Assistant Prof. KL University.

Shadow – usually a visual obstacle for image interpretation

Gives height information about towers, tall buildings

Hobject

SShadow

tanH

S

Page 20: Speaker Shagufta Akbari Assistant Prof. KL University.

Band of EM spectrum recorded by RS system may be displayed in shades of grey ranging from black to white

Tone:- ◦ continuous grey scale varying from white to black◦ It refers to relative brightness or colour of objects

in an image

Note:- Humans differentiate 40- 50 individual shades of grey RS image

Page 21: Speaker Shagufta Akbari Assistant Prof. KL University.

Colour ◦ more convenient for the identification of object

details

Texture◦ Characteristics placement & arrangement of

repetitions of tone or colour in an image◦ Visual impression of roughness or smoothness of

an image region