Q: Mapbox GL JS : Large Image Overlay Issues I am using Mapbox GL JS to overlay an image of satellite data over Texas. The image is big enough to cover Texas, but even when using 100% correct geo-coords, the image is not in the correct place. I have to split the image into 6 long (west-east) images like such, and stack them vertically in separate image overlays :

This produces the desired result : 

When using the 6 stacked image overlays (each 2 degrees tall and very wide to cover the state's width, by the way), the placement of the clouds is exactly perfect with zero issues. It's perfect except that having to make 6 image overlays to build this is not at all ideal and it adding processing constraints.
If I merge all the images into one big picture and overlay it using the same coords - the effect is wrong. Even though the image is exactly the same. I have highlighted the coastline so you can see that when using one large image overlay for the whole state, it becomes inaccurate. For a storm chaser (my target audience) this would not be unacceptable. I have tried manually adjusting the images but it is no good and I have wasted days of my life tracking this issue down, and it is absolutely Mapbox. I have ruled out the other possibilities like bugs in the software I use to get the data.
Here is the bad result with one overlay as opposed to splitting it vertically :

Are there any ideas to what may be causing this, and a solution? I am completely lost. 

A: I had solved this long ago but since others have the same problem, it deserves an answer here. The problem has to do with projection. Images can be sliced and diced exactly by coordinates but they must match the projection of the map they are being overlaid on. In the case of Mapbox, it uses web mercator and images must be reprojected to EPSG:3857. 
A utility to convert images (such as geoTIF) to this projection is GDAL (https://gdal.org/). A command using GDAL tools to convert an image would be something like : 
gdalwarp -t_srs EPSG:3857 input.tif input-projected.tif

Hopefully this clears things up. These issues are basic knowledge in the GIS community. If you want to work with data like this, I can say that I recommend doing what I did : learn basic GIS tools and how they work. It will save you.
