I have been experimenting with this great new feature and want to pass on a few things I have learned.
Two sources of orthoimagery and maps are The National Map (
https://nationalmap.gov/) and EarthExplorer (
https://earthexplorer.usgs.gov/). The high resolution orthoimages on EarthExplorer appear to be of a higher resolution than those on The National Map. Also, the latter has stated that they will no longer offer orthoimagery in the near future, but you can still get maps from that site. Both sites offer methods for bulk download of images.
After spending way too much time manually stitching together orthoimage tiles, I finally found a program that does this for you. It's a very powerful open source platform for working with geographical information. It took some experimenting, but I finally found a way to automatically merge tiles and output a downsized jpg image file. I'll provide the steps below. The program is called QGIS (
http://www.qgis.org/en/site/about/index.html).
There will be a trade-off between file size, i.e. quality, and load time for any given orthoimage to be used in TacView. I haven't found the sweet spot yet, but my images of airports and some of the surrounding area are on the order of 10MB. You do have to wait for them to load, but I tried lower res images and they start to get fuzzy when zoomed in. Any guidance on this issue will be appreciated.
I suppose I shouldn't be surprised, but I am truly amazed at how will things line up. My flight paths are right down the center lines of runways and taxi routes in the middle of taxiways. I'll post some images below.
First, here are the steps to merge orthoimages in QGIS and output a jpg file. Be advised that these files are huge. It will take time for the process to complete. Also, if the resulting jpg image is still too large a file, you might have to reduce its resolution further in another graphics package. Either that, or choose a lower scale when you do the conversion (see below on that step).
1. At this point it's assumed that your downloaded geotiff image tiles have been unzipped and are in the same folder.
2. Open QGIS and click on "Raster/Miscellaneous/Merge..."
3. In the dialog box that opens, select the files to be merged and set your output to a tif file. I tried a direct conversion to jpg at this stage and it did not work. Click "OK." Now, go have a beer or two, go to a movie, spend time with your significant other; i.e. this takes time.
4. After the merged tif file has been created, click on "Raster/Conversion/Translate (Convert Format)..."
5. In the dialog box that opens, select the merged tif file and create the jpg output file and location. Next, enable "Outsize" and set it to 20%. This is the point where you can choose a higher or lower scale to suite your needs. The resulting jpg file might still be rather large. I have used a graphics program to downsize it further in some cases.
That's pretty much it for QGIS.
Now you will have to edit the "CustomTextureList.xml" file. Getting the coordinates is fairly straight forward. If you do this often enough, you will see a pattern to the image tile file names (numbers). Depending on the source they might start in the lower left and go up, then start again just to the right and go up again. The numbers increment. Figure out which tiles make up the corners of the merged image and go to their associated xml files that came with the bulk download. Their coordinates are buried in the xml files. Now it's just a matter of choosing the correct lat and long coordinates for the given tile. You might think that the lower left tile and lower right tile will have the same latitude, but there can be small differences. However, in one image below I had to use the lat and long numbers from other corner tiles as there are missing tiles (water). These missing spaces show up black in the final jpg image.
Here are some examples:
KILM Wilmington, NC (I bought the airport scenery package for X-Plane)
KATL Atlanta (My destination after departing from KILM)
KHRT and KVPS (Hurlburt Field, where my son was stationed, and KVPS (Eglin/Fort Walton Beach)
Thanks for adding this feature to TacView.
Paul