
Remote Sensed Image
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3 Band digital remote sensed image which will be use as a basemap and digitise data layers. Also set the geographical projection for the project.

Digitising and Populating Geodatabase

I am producing a 3D polygon layer which will represent neighboring farms. I have marked the steps to be taken before extropolating 3D data from the layer. The 3D polygons will be used to produce a 3D model of the area.
Digitising Polygons from Remote Sensed Image

The factory is digitised and represented by a polygon layer. The table is populated with attribute data which can be used in an analysis.
Analysing Buildings Attributes

Digitising Roads

The remote sensed images proves a vital source in GIS as prooven in this excample. I have digitised roads, constructing a road layer presented by vector lines.
Extract Elevation

I have extracted elevation data from the TIN to create an elevation layer. This particular elevation layer was used to produce a 3D model of the entire project.
Elevation Raster

For accuracy purposes I have altered the colour of the layer to match the aerial photograph as close as possible. If the rivers or mountains doesn't correlate to the photographs entities then I will know an error occurred somewhere in my conversion processes.
Establishing Contours

Using the elevation attributes made it possible to create contour lines as I have illustrated on the following process.
Hillshade - 3D Effect

I constructed a "hill shading" image which makes the image appear in 3D although it's still 2 dimensional. The shading and lighting effects on the image allows the user to visualise the terrain more accurately.
Compare Remote Sensed Images

The elevation layer reveals a yellow flat potentially flood zone surrounded by 3 major outcrops/mountainous regions represented by a grayish colour.
Conclusion
Remote sensed images forms the foundation of a GIS, entities such as roads, vegetation, buildings can be extracted from these images and be analysed on an individual basis. The elevation layer adds a third dimension to your data which enables you to analyse entities affected by elevation such as water flow, vegetation growth, oil-spills even population distribution and development.
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