GIS5027 Module 1: Visual Interpretation

 

    This week in Photo Interpretation and Remote Sensing, we took a dive into Lab 1 and used what we learned through readings and lecture to determine the Tone (lightness vs. darkness of an area), Texture (the amount of change over a small area in tone/color), as well as much more.

    First we started this lab by creating a New Feature Class, choosing Polygon as the geometry, and making sure to add Name as a new field with the Text data type – we’ll be able to name our polygons in the Attribute Table by doing this. Map 1 (below) indicates the areas of Tone (in orange) that I felt best described the areas I would consider Very Dark, Dark, Medium, Light, and Very Light within the provided aerial image.

    I repeated this process to determine the Texture of areas (in green) I felt were best described as Very Coarse, Coarse, Mottled, Fine, and Very Fine. In this particular aerial image, the neighborhoods seemed to be the most coarse (several objects clustered with height) or Very Coarse in this instance, while Very Fine texture was the body of water in the upper left hand corner.

Map 1 showing the Tone and Texture of provided aerial image

    Our next map assignment was to exercise determining features within a provided aerial image by looking at the Size & Shape, Shadows, Patterns, and Associations of the points of interest. Similarly to the first map exercise, we created a New Feature Class- but this time we choose Point as the geometry. We still made sure to add Name as a new field with the Text data type so as to be able to name our features.

Map 2 showing items in each category (categories being Size & Shape, Shadows, Patterns, and Associations)

Lastly in Lab 1, we compared a provided aerial image in True Color with the same image in False Color Infrared. I again created a New Map and a New Feature Class with Point geometry named “TrueColor” (no new Name field, however). I created Point features on the provided aerial image “True Color” and once done, compared those same points on the provided aerial image “FalseCIR” (False Color Infrared) of the same image. Below is my table from the exercise:

Feature

True Color

False Color

River Segment #1

White

Blue

Forested Area (between two rivers)

Green

Blue

Large Forest Swath

Near Infrared (NIR)

Red

River Segment #2

Black

Blue

River Segment #3

Green

Blue

 

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