This is a limited study of
drone panoramas using GimbalYawDegree
and FlightYawDegree DJI-XMP data
from the Mavic Air 2. The purpose of the study was to evaluate
which of those 2 tags comes closest to being oriented to true
north. While the FlightYawDegree
approach had better overall deltas, the DJI yaw data in general
remains questionable for consistently and reliably orienting drone
panoramas to true north and suggests the need for additional
testing across multiple air frames.
PTGui, a multi-platform
panoramic stitching software, is uniquely suited for accurately
performing panorama orientation. This guide is intended help PTGui
users producing all types of 360° x 180° panoramas including
interior and exterior panoramas, terrestrial based sans
geotagging, and aerial panos photographed using a drone.
Erik Krause
unread,
Apr 18, 2026, 1:31:37 PM (17 hours ago) Apr 18
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Interesting, However, a normal HTML format would have been easier to
read on a lot of devices.
Regarding north from sun position: I have a batch (and a bash) script,
that reads the exif location and datetime data from an image dropped on
it (with the help of exiftool) and passes those data to wolfram alpha,
which gives the azimuth of the sun immediately:
I really like your ExifTool-WolframAlpha script that you wrote - thanks again for doing that! - for the purpose of getting the heading of the panorama; e.g., at 360cities. WolframAlpha does return a sun position which includes an azimuth after ExifTool has extracted a time and place; e.g., sun position 12.03.2026+07h:43m:47s at 44.5446 N -68.4171 E, even if the sun was nowhere to be seen! Interesting! and pretty cool: see below; however, the script does not actually help PTGui users to correctly orient the panorama in PTGui to true north.
Panorama Orientation, A Guide for PTGui Users, actually grew out from my study of the problematic issues caused by DJI yaw data observed from the Mavic Air 2.