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DETECTION OF CHANGE IN AREA GEOGRAPHY AND
SUITABLE LAND MODELLING
Presented by: Sheeza Khalid
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Problem Statement
 To make image easy to visualize and identify different area features and
then use in model for detection of suitable land.
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Objectives:
 This project is about the design a Software based Model so
it is Cost effective resulting from greater efficiency.
 To provide better decision making opportunity.
 To give better geographic information visualization
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Study Area:
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Specifications:
 Landsat-7.
 ENVI.
 QGIS.
 ArcGIS.
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Approach
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Classification
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Methodology:
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Results:
Year 2000:
Statistics:
Class Name
Area in Square
Kilometers
Percentage
Water Body
17.13
1.89%
Built Up Area
209.58
23.12%
Forest Area
88.84
9.8%
Agricultural Area
50.76
5.6%
Barren Area
540.18
59.59%
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Results(cont…):
Year 2010:
Statistics:
Class Name
Area in Square
Kilometers
Percentage
Water Body
17.13
1.89%
Built Up Area
740.01
81.62%
Forest Area
88.84
9.8%
Agricultural Area
50.76
5.6%
Barren Area
9.88
1.09%
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Results(cont…):
Year 2018:
Statistics:
Class Name
Area in Square
Kilometers
Percentage
Water Body
17.13
1.89%
Built Up Area
741.7
81.82%
Forest Area
88.84
9.8%
Agricultural Area
50.76
5.6%
Barren Area
8.06
0.89%
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Comparison:
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Model Designing
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Methodology:
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Built Model:
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Stimulated Result:
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Conclusion
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 The classified images are easy to visualize.
 Quite helpful in identification of different area features.
 The designed model help land managers and builder in decision making.
 Provide easy stimulation of area sorting and selection procedure.
 Further, in future different features can be added in the same model for
enhancement of different aspects.
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Real Life Use
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Applications:
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