Here are two recent articles that I was working on over the summer, both in Earth Surface Processes and Landforms. Enjoy!
Dietrich, J. T. (2016) Bathymetric Structure from Motion: Extracting shallow stream bathymetry from multi-view stereo photogrammetry. Earth Surface Processes and Landforms, doi: 10.1002/esp.4060.
http://onlinelibrary.wiley.com/doi/10.1002/esp.4060/abstract
Carbonneau, P. E., and Dietrich, J. T. (2016) Cost-effective non-metric photogrammetry from consumer-grade sUAS: implications for direct georeferencing of structure from motion photogrammetry. Earth Surface Processes and Landforms, doi: 10.1002/esp.4012.
http://onlinelibrary.wiley.com/wol1/doi/10.1002/esp.4012/abstract
Tuesday, October 4, 2016
Friday, August 26, 2016
New Off Nadir Resolution Calculator
A quick update, I uploaded a new Python off-nadir resolution calculator to my GitHub:
https://github.com/geojames/py_offNadir_Res
It only works for low-oblique images (theoretically it would also work for nadir images if you set the pitch of the camera to zero). It calculates the pixel resolutions for the near field (closest to the camera), mid field (at the principal point), and the far field (furthest for the camera). It will also tell you the area that each image covers.
If your interested in how it works head over to the GitHub repository.
https://github.com/geojames/py_offNadir_Res
It only works for low-oblique images (theoretically it would also work for nadir images if you set the pitch of the camera to zero). It calculates the pixel resolutions for the near field (closest to the camera), mid field (at the principal point), and the far field (furthest for the camera). It will also tell you the area that each image covers.
If your interested in how it works head over to the GitHub repository.
Tuesday, January 12, 2016
Amethyst Brook Dam Removal
Some footage from last week's dam removal on a stream that we (Dartmouth) have been doing extensive monitoring on in West-central Massachusetts (near Amherst).
More photos of the site post-removal are here: https://goo.gl/photos/
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