气候变化领域集成服务门户(CCPortal): Using a fixed-wing UAS to map snow depth distribution: An evaluation at peak accumulation

CCPortal

DOI	10.5194/tc-10-511-2016
	Using a fixed-wing UAS to map snow depth distribution: An evaluation at peak accumulation
	De Michele C.; Avanzi F.; Passoni D.; Barzaghi R.; Pinto L.; Dosso P.; Ghezzi A.; Gianatti R.; Vedova G.D.
发表日期	2016
ISSN	19940416
卷号	10 期号:2
英文摘要	We investigate snow depth distribution at peak accumulation over a small Alpine area (∼0.3 km2) using photogrammetry-based surveys with a fixed-wing unmanned aerial system (UAS). These devices are growing in popularity as inexpensive alternatives to existing techniques within the field of remote sensing, but the assessment of their performance in Alpine areas to map snow depth distribution is still an open issue. Moreover, several existing attempts to map snow depth using UASs have used multi-rotor systems, since they guarantee higher stability than fixed-wing systems. We designed two field campaigns: during the first survey, performed at the beginning of the accumulation season, the digital elevation model of the ground was obtained. A second survey, at peak accumulation, enabled us to estimate the snow depth distribution as a difference with respect to the previous aerial survey. Moreover, the spatial integration of UAS snow depth measurements enabled us to estimate the snow volume accumulated over the area. On the same day, we collected 12 probe measurements of snow depth at random positions within the case study to perform a preliminary evaluation of UAS-based snow depth. Results reveal that UAS estimations of point snow depth present an average difference with reference to manual measurements equal to -0.073 m and a RMSE equal to 0.14 m. We have also explored how some basic snow depth statistics (e.g., mean, standard deviation, minima and maxima) change with sampling resolution (from 5 cm up to ∼100 m): for this case study, snow depth standard deviation (hence coefficient of variation) increases with decreasing cell size, but it stabilizes for resolutions smaller than 1 m. This provides a possible indication of sampling resolution in similar conditions. © Author(s) 2016.
学科领域	aerial survey; alpine environment; digital elevation model; mapping method; measurement method; remote sensing; sampling; snow; vertical distribution
语种	英语
scopus关键词	aerial survey; alpine environment; digital elevation model; mapping method; measurement method; remote sensing; sampling; snow; vertical distribution
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119693
作者单位	Politecnico di Milano, Department of Civil and Environmental Engineering, Piazza Leonardo da Vinci 32, Milan, 20133, Italy; University of Genova, Department of Civil, Chemical and Environmental Engineering, Via Montallegro 1, Genoa, 16145, Italy; Studio di Ingegneria Terradat, Paderno Dugnano, Italy; A2a Group, Grosio, Italy
推荐引用方式 GB/T 7714	De Michele C.,Avanzi F.,Passoni D.,et al. Using a fixed-wing UAS to map snow depth distribution: An evaluation at peak accumulation[J],2016,10(2).
APA	De Michele C..,Avanzi F..,Passoni D..,Barzaghi R..,Pinto L..,...&Vedova G.D..(2016).Using a fixed-wing UAS to map snow depth distribution: An evaluation at peak accumulation.Cryosphere,10(2).
MLA	De Michele C.,et al."Using a fixed-wing UAS to map snow depth distribution: An evaluation at peak accumulation".Cryosphere 10.2(2016).