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Abstract
Accurate measurements of natural resources are a prerequisite for resource assessment. Demetrios Gatziolis, a scientist with the USDA Forest Service Pacific Northwest Research Station, and his colleagues with Washington State University developed and tested protocols for using structure-from-motion photogrammetry to obtain data that can be used to construct 3-dimensional (3-D) representations of trees, other vegetation, and down wood. This type of photogrammetry is a remote-sensing technique based on a sequence of digital images or video footage. Gatziolis and his colleagues focused on developing protocols for using it under the forest canopy. Their method can serve as a guide for others interested in obtaining inexpensive, precise 3-D data of trees in field plots. The researchers continue to perfect the technology so it can be reliably deployed by field crews with a minimal amount of training. The researchers have also applied the technique in a variety of environments, including surveying aboveground roots of mangroves, which play a key role in mitigating shoreline erosion. Working in Mount St. Helen’s posteruption landscape, the researchers are supporting ongoing work to monitor revegetation, capturing metrics that would be impossible or extremely labor intensive to collect by hand. Photogrammetry yields digital records of conditions at a specific time. This may create possibilities to backtrack in the future and analyze parameters that aren’t currently being monitored.
Citation
Mazza, Rhonda; Gatziolis, Demetrios. 2018. A fuller picture: The building blocks of a 3-dimensional natural resource inventory. Science Findings 209. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 5 p.