气候变化领域集成服务门户(CCPortal): TERRA: Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering

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DOI	10.1016/j.jag.2019.101977
	TERRA: Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering
	Pijl A.; Bailly J.-S.; Feurer D.; El Maaoui M.A.; Boussema M.R.; Tarolli P.
发表日期	2020
ISSN	15698432
卷号	84
英文摘要	Over the past decades, several filters have been developed to derive a Digital Terrain Model (DTM) from a Digital Surface Model (DSM), by means of filtering out aboveground objects such as vegetation. In this filtering process, however, one of the major challenges remains to precisely distinguish sharp terrain features, e.g. ridges, agricultural terraces or other anthropogenic geomorphology such as open-pit mines, riverbanks or road ramps. Hence, loss of elevation data around terrain edges (and consequent smoothing) is very common with existing algorithms. In terraced landscapes, the preservation of precise geomorphology is of key importance in digital terrain analyses, such as hydrologic and erosion modelling, or automatic feature recognition and inventorying. In this work, we propose a new filtering method called TERRA (Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering). The novelty of the algorithm lies within its usage of terrain aspect to guide the anisotropic filtering direction, therefore maximising the preservation of terrain edges. We derived six DTMs from DSMs using UAV Structure from Motion (SfM) photogrammetry, laser altimetry and satellite sources (grid resolutions ranging from 0.1–1.0 m). The results indicated a close agreement of DTMs filtered using the TERRA algorithm and reference DTMs, while terrace risers were well preserved even under thick canopies of vines and trees. Compared to existing filtering approaches, TERRA performed well in minimising Type I errors (false ground removal), while Type II errors occurred locally where vegetation was covering the terrace edges. Given the promising filtering performance, and supported by the minimal requirements of parameterisation and computation, the TERRA algorithm could be a useful tool in DTM preparation for digital terrain analysis of agricultural terraces and similar hillslopes characterised by a complex mosaic of sharp terrain and non-terrain features. © 2019
英文关键词	Anisotropic filtering; Digital Terrain Model (DTM) extraction; Edge preservation; Terraces; Vegetation removal
语种	英语
scopus关键词	algorithm; digital terrain model; hillslope; raster; Terra (satellite); terrain
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156435
作者单位	Dept. of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro, PD 35020, Italy; LISAH, University of Montpellier, INRA, IRD, Montpellier SupAgro, Montpellier, France; AgroParisTech, Paris, 75231, France; ENIT, Tunis, 1002, Tunisia
推荐引用方式 GB/T 7714	Pijl A.,Bailly J.-S.,Feurer D.,et al. TERRA: Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering[J],2020,84.
APA	Pijl A.,Bailly J.-S.,Feurer D.,El Maaoui M.A.,Boussema M.R.,&Tarolli P..(2020).TERRA: Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering.International Journal of Applied Earth Observation and Geoinformation,84.
MLA	Pijl A.,et al."TERRA: Terrain Extraction from elevation Rasters through Repetitive Anisotropic filtering".International Journal of Applied Earth Observation and Geoinformation 84(2020).