1. Skip to navigation
  2. Skip to content
  3. Skip to sidebar

Tree canopies from Panther Hollow Bridge by Brett Engstrom

Want to add this gigapan to your favorites? Log In or Sign Up now.

Log In now to add this Gigapan to a group gallery.

About This Gigapan

Taken by
Brett Engstrom Brett Engstrom
Explore score
0.35 Gigapixels
Date added
Nov 17, 2010
Date taken
Nov 10, 2010

Late fall tree canopies as seen looking east from east sidewalk of Panther Hollow Bridge in Schenley Park in Oakland, Pittsburgh, PA. Dominated by red oak (Quercus rubra), but white oak, white ash, sycamore, and other species present. Good time of year to pick out the red oak from white oak canopies, the latter having a purplish or reddish color which contrasts yellows and burnt oranges or the red oak. Lot of traffic on the bridge, so the camera was shaking on the tripod, especially when trucks passed. There were more photos than this, but I had to reduce the number of rows since a few frames were missed during the shoot. Was the robot set to take photos at too quick an interval?

Gigapan Comments (2)

Toggle Minimize gigapan_comment
  1. Paul Heckbert

    Paul Heckbert (November 18, 2010, 07:45AM )

    I would add: missed photos are most often caused by time per pic (in gigapan panohead) set too low. The proper time per pic depends on exposure time and camera's processing speed and memory card speed. Your exposure time is short, so I don't think that was it. SDHC memory card "speed class" is indicated by the circled number on the card. Some cards are slower than others. Wikipedia has info on that subject. I recommend speed class 6 or higher. Typically 2.5-3.5 sec is sufficient time_per_pic, but watch the camera closely as it shoots pictures to see that it's getting each one. The indicator light should blink after each one. If it's not, increase time_per_pic and try again.

  2. Chris Fastie

    Chris Fastie (November 17, 2010, 11:19AM )

    Brett, Nice view. This is a really good “Select Images” puzzle. See Paul Heckbert’s comment on this gigapan gigapan.org/gigapans/64767/. After a gigapan is stitched, you can’t redo (or even see) the image grid. Paul’s workaround is to make a copy of the xxxx.gigapan file with a new name and open it. The black stripe is mysterious. Either you are missing about four images there, or the camera moved so there was not enough overlap (and then moved back which is unlikely). You might try starting again with all the original photos. If an individual photo is missing, copy an adjacent image to a filename that places it in the hole. This will usually leave a black hole in the stitched panorama (the copied image gets aligned on top of its master), but at least you can see your otherwise entire panorama. Because you have lots of overlap, creating a missing photo is not so hard; most of it already exists in the adjacent photos, and the rest can be cloned. This technique is invaluable when you take a really important gigapan which is missing a critical photo. When doing experiments like this, keep notes on the gigapan data folder names so you can delete the ones you don’t need.

The GigaPan EPIC Series, Purchase an GigaPan EPIC model and receive GigaPan Stitch complimentary

Where in the World is this GigaPan?


Stitcher Notes


GigaPan Stitch version 1.1.1241 (Windows)
Panorama size: 346 megapixels (34060 x 10172 pixels)
Input images: 70 (14 columns by 5 rows)
Field of view: 51.7 degrees wide by 15.4 degrees high (top=6.3, bottom=-9.1)
Vignette correction on: c1=0.0426 c2=-0.0299
All default settings
Original image properties:
Camera make: Canon
Camera model: Canon PowerShot SX120 IS
Image size: 3648x2736 (10.0 megapixels)
Capture time: 2010-11-11 04:14:11 - 2010-11-11 04:20:45
Aperture: f/8
Exposure time: 0.00625
ISO: 80
Focal length (35mm equiv.): 361.4 mm
Digital zoom: off
White balance: Fixed
Exposure mode: Manual
Horizontal overlap: 25.7 to 39.3 percent
Vertical overlap: 31.9 to 59.4 percent
Computer stats: 3581.9 MB RAM, 2 CPUs
Total time 11:08 (9.5 seconds per picture)
Alignment: 4:09, Projection: 1:27, Blending: 5:32
(Preview finished in 6:18)

Member Log In