DOI: 10.1016/j.jag.2013.05.011
Scopus记录号: 2-s2.0-84894272759
论文题名: Using an unmanned aerial vehicle (UAV) to capture micro-topography of antarctic moss beds
作者: Lucieer A ; , Turner D ; , King D ; H ; , Robinson S ; A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 27, 期: PARTA 起始页码: 53
结束页码: 62
语种: 英语
英文关键词: Digital surface model (DSM)
; Moss health
; Multi-view stereopsis
; Snowmelt
; Structure from motion (SfM)
; Water availability
Scopus关键词: accuracy assessment
; algorithm
; climate effect
; computer simulation
; image resolution
; microtopography
; Monte Carlo analysis
; moss
; orthophoto
; snow cover
; snowmelt
; spatial resolution
; three-dimensional modeling
; unmanned vehicle
; water availability
; Antarctica
; Bryophyta
英文摘要: Mosses, the dominant flora of East Antarctica, show evidence of drying in recent decades, likely due to the regional effects of climate change. Given the relatively small area that such moss beds occupy, new tools are needed to map and monitor these fragile ecosystems in sufficient detail. In this study, we collected low altitude aerial photography with a small multi-rotor Unmanned Aerial Vehicle (UAV). Structure from Motion (SfM) computer vision techniques were applied to derive ultra-high resolution 3D models from multi-view aerial photography. A 2 cm digital surface model (DSM) and 1 cm orthophoto mosaic were derived from the 3D model and aerial photographs, respectively. The geometric accuracy of the orthophoto and DSM was 4 cm. A weighted contributing upstream area was derived with the D-infinity algorithm, based on the DSM and a snow cover map derived from the orthophoto. The contributing upstream area was used as a proxy for water availability from snowmelt, one of the key environmental drivers of moss health. A Monte Carlo simulation with 300 realisations was implemented to model the impact of error in the DSM on runoff direction. Significant correlations were found between these simulated water availability values and field measurements of moss health and water content. In the future ultra-high spatial resolution DSMs acquired with a UAV could thus be used to determine the impact of changing snow cover on the health and spatial distribution of polar vegetation non-destructively. © 2013 Published by Elsevier B.V.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79670
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: School of Geography and Environmental Studies, University of Tasmania, Private Bag 76, Hobart, TAS 7001, Australia; Institute for Conservation Biology and Environmental Management, School of Biological Sciences, University of Wollongong, Northfields Avenue, NSW 2522, Australia
Recommended Citation:
Lucieer A,, Turner D,, King D,et al. Using an unmanned aerial vehicle (UAV) to capture micro-topography of antarctic moss beds[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,27(PARTA)