Brivio et als paper presents a case study integrating Remote Sensing and GIS to produce a flood map. After explaining methodology and results of other methods, the paper finds the integrative method to be 96% accurate.

This speaks to the value of interdisciplinary work. While RS applications on their own proved inadequate, a mixing of disciplines gave a fairly trustworthy result. While I understand the value of highly specialized knowledge, having a baseline of capability outside of one’s specific field is useful. I remember in 407 Korbin explaining that knowing even a bit of programming can help you in working with programmers, as understanding the way that one builds statements as well as the general limits of a given programming language will give you an idea of what you are can ask for. The same is true for GIS/RS. Knowing how GIS works and what it might be able to do is useful for RS scholars in seeking help and collaboration and vice versa. I think McGill’s GIS program is good in this respect. I got to dip my toes into a lot of different aspects of GIS (including COMP) and figure out what I like about it. If I end up working with GIS after I graduate, I know that the interdisciplinary nature of the program will prove useful.


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