As this project is scientific, it follows that the procedures and reporting are scientific**.** However, I realize that you—the reader—may or may not have the relevant domain knowledge, as such, I will attempt to make the methods and findings accessible to a multitude of backgrounds.
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In the Fall 2024 term I took GEOG 319—Remote Sensing of The Environment Using Passive Sensors. I learned a lot and had the chance to work on some cool projects. My favourite project was developing a spectral index to detect herring spawn in the Straight of Georgia.
Before we dive into methodologies and results I just want to take a minute to give a VERY brief answer to questions like:
I developed the index on a data image which had a confirmed spawning event then, once satisfied, ran the index on a different image and compared results with existing literature.
Water has a high absorption relative to land surfaces, as we are only concerned with water it is important to isolate it.
In order to develop an index that highlights the desired phenomenon we must understand it spectrally. To do this we collect sample polygons then generate a spectral plot. The spectral plot will show where the classes overlap and where they can be separated.