Visual Interpretation of Aerial Photography

Photo Interpretation & Remote Sensing - Mod 2

This lab covered the methods and techniques used to visually interpret aerial photos through three exercises.  The first exercise focused on tone and texture.

  Five areas of the map were selected to represent different tones in a range from very light to very dark.  Polygons were drawn around these areas then converted to features so the attribute table could be edited to add the tone of each feature and its label added to the map.  Next, the same was done for texture, selecting five areas that ranged from very smooth to very course.

Exercise 2 covered shape and size, shadow, pattern and association.  Three objects were selected to represent each of these elements except association which only required two.  Instead of polygons markers were used to highlight features that were identified in each category.  The markers were also converted to features and each attribute table edited to include the name of the feature so it could be labeled.

The last exercise was a color comparison between the same image in True Color and in False Color IR.  Again markers of the selected features were converted to features to be edited and labeled.  This was done in a data frame with the True Color image, the colors of the selected features were noted then recorded in a table in the process summary.  Those same features were then examined in the False Color image and the difference in colors were also noted in the table.