1. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Interpretation
1. Concept of image interpretation
2. Procedures of Interpretation
3. Interpretation Elements
4. Interpretation Keys
5. Applications of Image Interpretation
B. Sc. (Civil Engineering) University of Nairobi

2. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Concept of Image Interpretation
Engineering Surveying IV University of Nairobi

3. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
The Remote Sensing Process
Engineering Surveying IV University of Nairobi

4. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Objective of Image Interpretation
To extract qualitative and quantitative information
from imagery about the shape, location, structure,
characteristics, quality, condition, relationship of and
between objects using human knowledge.
B. Sc. (Civil Engineering) University of Nairobi

5. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Information from Imagery
B. Sc. (Civil Engineering) University of Nairobi

6. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Human Interpretation vs
Computer based Interpretation
B. Sc. (Civil Engineering) University of Nairobi

7. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Procedures of Interpretation
B. Sc. (Civil Engineering) University of Nairobi

8. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Procedures of Interpretation
B. Sc. (Civil Engineering) University of Nairobi

9. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Classification (1)
Image Classification involves assigning all pixels in the image to
particular classes or themes (e.g., water, coniferous forest, deciduous
forest, maize, wheat, etc.). The resulting classified image is comprised
of a mosaic of pixels, each of which belong to a particular theme, and is
essentially a thematic "map" of the original image.
B. Sc. (Civil Engineering) University of Nairobi

10. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Classification (2)
Information Classes and Spectral Classes:
Information classes are those categories of interest that the
analyst is actually trying to identify in the imagery, such as
different kinds of crops, different forest types or tree
species, different geologic units or rock types, etc.
Spectral classes are groups of pixels that are uniform (or
near-similar) with respect to their brightness values in the
different spectral channels of the data.
The objective is to match the spectral classes in the data to
the information classes of interest. Rarely is there a simple
one-to one match between these two types of classes.
B. Sc. (Civil Engineering) University of Nairobi

11. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Interpretation Elements
B. Sc. (Civil Engineering) University of Nairobi

12. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Interpretation Elements
B. Sc. (Civil Engineering) University of Nairobi

13. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Interpretation Keys
B. Sc. (Civil Engineering) University of Nairobi

14. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Elements of Tone/Colour
B. Sc. (Civil Engineering) University of Nairobi

15. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Elements of Size & Shape
B. Sc. (Civil Engineering) University of Nairobi

16. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Elements of Texture
B. Sc. (Civil Engineering) University of Nairobi

17. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Elements of Pattern
B. Sc. (Civil Engineering) University of Nairobi

18. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Elements of Height & Shadow
B. Sc. (Civil Engineering) University of Nairobi

19. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Elements of Associated Relationships
B. Sc. (Civil Engineering) University of Nairobi

20. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Interpretation Keys for Trees
B. Sc. (Civil Engineering) University of Nairobi

21. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Applications of Image Interpretation
B. Sc. (Civil Engineering) University of Nairobi

22. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Interpretation of Aster Image
B. Sc. (Civil Engineering) University of Nairobi

23. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Colour Composition
B. Sc. (Civil Engineering) University of Nairobi

24. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Interpretation – Land Covers
B. Sc. (Civil Engineering) University of Nairobi

25. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Interpretation – Floods
B. Sc. (Civil Engineering) University of Nairobi

26. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Interpretation – Wildlife
B. Sc. (Civil Engineering) University of Nairobi

27. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Interpretation – Volcano
B. Sc. (Civil Engineering) University of Nairobi

28. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Interpretation – Mine
B. Sc. (Civil Engineering) University of Nairobi

29. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Interpretation – Environment
B. Sc. (Civil Engineering) University of Nairobi

30. FCE 552: Engineering Survey IV Dept. of Geospatial & Space Technology
Image Interpretation – Ocean
B. Sc. (Civil Engineering) University of Nairobi