Paper
4 March 2013 Collaborative imaging of urban forest dynamics: augmenting re-photography to visualize changes over time
Ruth West, Abby Halley, Jarlath O’Neil-Dunne, Daniel Gordon, Robert Pless
Author Affiliations +
Proceedings Volume 8649, The Engineering Reality of Virtual Reality 2013; 86490L (2013) https://doi.org/10.1117/12.2008109
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
The ecological sciences face the challenge of making measurements to detect subtle changes sometimes over large areas across varied temporal scales. The challenge is thus to measure patterns of slow, subtle change occurring along multiple spatial and temporal scales, and then to visualize those changes in a way that makes important variations visceral to the observer. Imaging plays an important role in ecological measurement but existing techniques often rely on approaches that are limited with respect to their spatial resolution, view angle, and/or temporal resolution. Furthermore, integrating imaging acquired through different modalities is often difficult, if not impossible. This research envisions a community-based and participatory approach based around augmented rephotography of ecosystems. We show a case study for the purpose of monitoring the urban tree canopy. The goal is to explore, for a set of urban locations, the integration of ground level rephotography with available LiDAR data, and to create a dynamic view of the urban forest, and its changes across various spatial and temporal scales. This case study gives the opportunity to explore various augments to improve the ground level image capture process, protocols to support 3D inference from the contributed photography, and both in-situ and web based visualizations of the temporal change over time.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruth West, Abby Halley, Jarlath O’Neil-Dunne, Daniel Gordon, and Robert Pless "Collaborative imaging of urban forest dynamics: augmenting re-photography to visualize changes over time", Proc. SPIE 8649, The Engineering Reality of Virtual Reality 2013, 86490L (4 March 2013); https://doi.org/10.1117/12.2008109
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Cited by 5 scholarly publications.
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KEYWORDS
3D modeling

LIDAR

Data modeling

3D image processing

Databases

Visualization

Cameras

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