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dc.contributor.authorJensen, Jennifer L. R. ( Orcid Icon 0000-0002-5296-9062 )
dc.contributor.authorMathews, Adam J. ( Orcid Icon 0000-0002-5577-4308 )
dc.date.accessioned2021-07-01T18:18:59Z
dc.date.available2021-07-01T18:18:59Z
dc.date.issued2016-01
dc.identifier.citationJensen, J. L. R., & Mathews, A. J. (2016). Assessment of image-based point cloud products to generate a bare earth surface and estimate canopy heights in a woodland ecosystem. Remote Sensing, 8(1): 50.en_US
dc.identifier.issn2072-4292
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/13804
dc.description.abstractWe examine the utility of Structure from Motion (SfM) point cloud products to generate a digital terrain model (DTM) and estimate canopy heights in a woodland ecosystem in the Texas Hill Country, USA. Very high spatial resolution images were acquired with a Canon PowerShot A800 digital camera mounted on an unmanned aerial system. Image mosaicking and dense point matching were accomplished using Agisoft PhotoScan. The resulting point cloud was classified according to ground/non-ground classes and used to interpolate a high resolution DTM which was both compared to a DTM from an existing lidar dataset and used to model vegetation height for fifteen 20 × 20 m plots. Differences in the interpolated DTM surfaces demonstrate that the SfM surface overestimates lidar-modeled ground height with a mean difference of 0.19 m and standard deviation of 0.66 m. Height estimates obtained solely from SfM products were successful with R2 values of 0.91, 0.90, and 0.89 for mean, median, and maximum canopy height, respectively. Use of the lidar DTM in the analyses resulted in R2 values of 0.90, 0.89, and 0.89 for mean, median, and maximum canopy height. Our results suggest that SfM-derived point cloud products function as well as lidar data for estimating vegetation canopy height for our specific study area. View Full-Texten_US
dc.formatText
dc.format.extent13 pages
dc.format.medium1 file (.pdf)
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.sourceRemote Sensing, 2016, Vol. 8, No. 1, Article 50.
dc.subjectStructure from motionen_US
dc.subjectImage-based point clouden_US
dc.subjectDigital terrain modelen_US
dc.subjectVegetationen_US
dc.subjectLidaren_US
dc.titleAssessment of Image-Based Point Cloud Products to Generate a Bare Earth Surface and Estimate Canopy Heights in a Woodland Ecosystemen_US
dc.typepublishedVersion
txstate.documenttypeArticle
dc.rights.holder© 2016 The Authors.
dc.identifier.doihttps://doi.org/10.3390/rs8010050
dc.rights.licenseCreative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
dc.description.departmentGeography


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