Remote Sensing | |
Assessment of Image-Based Point Cloud Products to Generate a Bare Earth Surface and Estimate Canopy Heights in a Woodland Ecosystem | |
Jennifer L. R. Jensen1  Adam J. Mathews2  Lars T. Waser3  | |
[1]Department of Geography, Texas State University, 601 University Drive, San Marcos, TX 78666, USADepartment of Geography, Oklahoma State University, 337 Murray Hall, Stillwater, OK 78078, USA | |
[2] | |
[3]id="af1-remotesensing-08-00050">Department of Geography, Texas State University, 601 University Drive, San Marcos, TX 78666, U | |
关键词: structure from motion; image-based point cloud; digital terrain model; vegetation; lidar; | |
DOI : 10.3390/rs8010050 | |
来源: mdpi | |
【 摘 要 】
We 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
【 授权许可】
CC BY
© 2016 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190000218ZK.pdf | 4031KB | download |