GIS Day Final Poster

After presenting the rough draft of our poster, it was critiqued by our classmates. We wrote down each critique that was given to us and deliberated over the changes that we would make to our poster. Below is a list of critiques that we were given as well as our response to those critiques.

Our rough draft of the poster looked like this:

Figure 1. Poster Rough Draft



"Emphasize the data “results”, should be more like 60%-70% of the poster"


We agree with this point and will work to emphasize the results section more by decreasing the size of the other sections and including insets from the main orthomosaics. We incorporated three different subjects at each location and grouped them together to quickly see differences in the thermal imagery at different points in the day.


"Combine abstract and introduction into one section"


We agreed that the introduction was redundant to the abstract, and was replaced. We also removed the satellite images of our sites of study, and replaced them with RGB orthomosaics from the flights we conducted. We inserted these replacement photos into our ‘Research Questions’ section and renamed this section ‘Sites of Study’ with a short introduction and explanation why we chose these sites.  We also reduced the size of the other modules, specifically ‘Diurnal Heating’ and ‘Methods’, in the top third of the poster. We needed to free up more space to include more concluding thermal imagery and focus subject in-sets.


"Remove pointless pictures"


All irrelevant photos have been removed. The only photos of value to us are the thermal images we captured. With the extra space, we included in-sets of focus study areas at each location, mentioned above.



"Boxes change color from blue to black"


This has been addressed and all boxes, text, and outlines are now uniform black. This is a minor oversight that was quickly corrected. In addition, we double checked for font style (font, size, color, etc.) consistency in all headers, textboxes, and captions.  


"Use RGB ortho to give context"


The RGB photos are important to our audience to view our data naturally from a birds-eye-view perspective. It helps the viewer make sense of what heat signatures actually are in the data, whether it be building structure, natural vegetation, ground material (earth, gravel, concrete), etc.


"Get rid of some white space and dead space; Headers are taking too much space"


Header size has been reduced vertically, headers for results and conclusion were removed completely (we’re letting the data speak for itself), and we’re making more efficient use of our white space by adding captions and explanations to most of the thermal images. This was an important criticism to address as we were struggling with fitting all of our data onto the poster.


"Insert school of aviation technology logo"


The school of aviation logo is important to include because we’d like to represent our school that gave us the opportunity to conduct this study. It has been included above the university name in the top-left corner. 

We took into consideration the critiques from our classmates and used them to finalize our poster for GIS day. Here is what our poster looked like after we refined it:

     Our poster contains an abstract which outlines our study topic and how we researched, planned and executed our study. Next is information about our study sites as well as more detail about the tools and resources we used to complete our study. The last two sections are the results of our study. It compares different areas of the image and discusses some key temperature differences throughout the day. Our main product of this study is thermal imagery so we wanted to make sure that we showcased as much of that data as we could.


To date, our group has obtained a full day's worth of data from each our two study sites that were suitable for creating orthomosaics. We also flew a mission over a bridge with a river underneath it, but the data did not have enough information to create an orthomosaic.


  We have 2 main goals as to how we would like to continue our research.

1. Study different subjects such as dirt and fertilizer piles with thermal sensors
2. Learn to classify our data so that we can filter out certain data points and measure the temperature of certain materials.

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