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2. Compare the image with a map from your atlas or use a map of New Orleans found on the Internet.

3. Using the Measure tool, measure the distance from the river to the coast of Lake Pontchartrain.

Split the RGB view into the three single channels and examine them separately.

4. Afterwards, generate a detailed explanation of the RGB view’s appearance referring to the table above as well as to the graph shown below.

5. Focus on a part of Lake Pontchartrain at location x,y: 580,750.

6. Describe the appearance of the lake in the three images and measure the pixel values.

7. Compare your observations with the graph below.

You should be able to distinguish between flooded and non-flooded parts of New Orleans.  
 

Absorption of water with respect to the wavelength of the incident radiation

Due to the high absorption – and, thus, low reflectivity – of incident radiation in the near-infrared part of the electromagnetic spectrum by water, flooded areas appear dark in the NIR band. This means that they are assigned low pixel values. Hence, the portion of red is lower in the RGB view, since the NIR channel is assigned the colour red. Accordingly, flooded areas also appear darker in the RGB view. However, vegetation has very high reflectivity in this part of the electromagnetic spectrum. That’s why these areas appear brighter in the NIR band and correspondingly in the red component of the RGB view. This behaviour makes it possible to distinguish between flooded and non-flooded areas.

The wavelength ranges of the other two channels do not share the same characteristics of high absorption over water and high reflectivity over vegetation. They therefore do not contribute much in detecting flooded areas.
 
 

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