Topography Condition Study Area
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RGB images. Visual interpretation procedure is semi-automatic method using on screen digitizing.
Landsat 1990 Landsat 2001
Landsat 2009 Landsat 2001
Images Correction Geometric and
Atmospheric Images
Classification
Accuracy Assessment
Land Cover Maps
Change Detection Change Detection
Analysis Ground
Truth Data
No
Figure 3.9 Image classification processes; four multi temporal images was used to produce land use and land cover classes.
Visual interpretation was done by observing the pattern of visible object on the imagery; the object such as river, settlement, and road network are very
helpful to assist us to map the vegetation or land cover. The vegetation mapping is performed by delineating the outer boundary of pixels that have same pattern, then
it was classified by using an
support maps such as land cover maps, topographic, concessions, and vegetation as a reference maps.
Based on the existing condition of land cover type in study area, the Landsat images were classed into 6 major classes. The classes are:
1. Forest Land: Area with high density of trees which include primary dry land forest, secondary dry land forest, swamp forest, mangrove, and plantation
forest.
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2. Agriculture: Area used for both annual and perennial crop cultivation, and the scattered rural settlements are closely associated with the large sized
cultivated field. 3. Shrubs Land: Area covered with shrubs, bushes and small trees, with little
wood mixed with some grasses. 4. Water Body: Area which remains water logged and swampy throughout the
year, the man made dam, the rivers with its main tributaries, and the lake. 5. Build up: Area with high density of settlement that including high density
township residences, and urban area. 6. Barren land: Area dominated by grass and small number of small trees.