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Keith Summey North Charleston Library
Closed due to operational issues.
Phone: (843) 744-2489
Folly Beach Library
9 a.m. - 2 p.m.
*open the 2nd and 4th Saturday
*open the 2nd and 4th Saturday
Phone: (843) 588-2001
Main Library
9 a.m. - 5 p.m.
Phone: (843) 805-6930
West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 5 p.m.
Phone: (843) 805-6888
McClellanville Library
9 a.m. – 1 p.m.
Phone: (843) 887-3699
Miss Jane's Building (Edisto Library Temporary Location)
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Phone: (843) 869-2355
John L. Dart Library
9 a.m. - 5 p.m.
Phone: (843) 722-7550
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Mt. Pleasant Library
9 a.m. – 5 p.m.
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Dorchester Road Library
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Phone: (843) 805-6892
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Phone: (843) 884-9741
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Flying high: Sampling savanna vegetation with UAV‐lidar.
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- Author(s): Boucher, Peter B.; Hockridge, Evan G.; Singh, Jenia; Davies, Andrew B.
- Source:
Methods in Ecology & Evolution; Jul2023, Vol. 14 Issue 7, p1668-1686, 19p- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: The flexibility of UAV‐lidar remote sensing offers a myriad of new opportunities for savanna ecology, enabling researchers to measure vegetation structure at a variety of temporal and spatial scales. However, this flexibility also increases the number of customizable variables, such as flight altitude, pattern, and sensor parameters, that, when adjusted, can impact data quality as well as the applicability of a dataset to a specific research interest.To better understand the impacts that UAV flight patterns and sensor parameters have on vegetation metrics, we compared 7 lidar point clouds collected with a Riegl VUX − 1LR over a 300 × 300 m area in the Kruger National Park, South Africa. We varied the altitude (60 m above ground, 100 m, 180 m, and 300 m) and sampling pattern (slowing the flight speed, increasing the overlap between flightlines and flying a crosshatch pattern), and compared a variety of vertical vegetation metrics related to height and fractional cover.Comparing vegetation metrics from acquisitions with different flight patterns and sensor parameters, we found that both flight altitude and pattern had significant impacts on derived structure metrics, with variation in altitude causing the largest impacts. Flying higher resulted in lower point cloud heights, leading to a consistent downward trend in percentile height metrics and fractional cover. The magnitude and direction of these trends also varied depending on the vegetation type sampled (trees, shrubs or grasses), showing that the structure and composition of savanna vegetation can interact with the lidar signal and alter derived metrics. While there were statistically significant differences in metrics among acquisitions, the average differences were often on the order of a few centimetres or less, which shows great promise for future comparison studies.We discuss how these results apply in practice, explaining the potential trade‐offs of flying at higher altitudes and with alternate patterns. We highlight how flight and sensor parameters can be geared toward specific ecological applications and vegetation types, and we explore future opportunities for optimizing UAV‐lidar sampling designs in savannas. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Methods in Ecology & Evolution is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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