干旱区生态环境知识资源中心(Arid): Semi-automated method for the mapping of alluvial fans from DEM

Arid

DOI	10.1007/s12145-021-00616-3
	Semi-automated method for the mapping of alluvial fans from DEM
	Goorabi, Abolghasem; Karimi, Mostafa; Norini, Gianluca
通讯作者	Goorabi, A (corresponding author), Univ Tehran, Fac Geog, Dept Phys Geog, POB 1417853933,Encilab Ave, Tehran, Iran.
来源期刊	EARTH SCIENCE INFORMATICS
ISSN	1865-0473
EISSN	1865-0481
出版年	2021
英文摘要	Alluvial fans are among the principal geomorphological features that have an influence on the development of human societies, particularly in arid regions. In view of the salience of these triangular-shaped deposits to environmental management, an accurate mapping of alluvial fans within a specific region could prove significantly advantageous. This study proposes a method for semi-automated detection of alluvial fans based on the analysis of Digital Elevation Models (DEMs). The proposed method is a novel Symmetry Model DEM (SMDEM), which extracts alluvial fans the pseudo-basin concept. This method is capable of accurate detection of alluvial fans and all their segmentations (i.e. lobes), apex, and toe when they are delimited by boundary drainage (lateral and toe drainage channels). The method was tested analyzing different environmental scenarios and was evaluated by comparing the output of the model with satellite data. The alluvial fans analyzed with the SMDEM model are the Lannemezan (12,303 km(2)), Xinhe (5572 km(2)), and Naien (1668 km(2)) fans, which are among the largest in Europe, China, and Iran, respectively.
英文关键词	Digital alluvial fan map Digital elevation models (DEMs) Quaternary landforms Largest alluvial fans Symmetry Model DEM (SMDEM) Lannemezan Xinhe and Naien alluvial fans
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000642063400001
WOS关键词	DIGITAL ELEVATION MODELS ; ACCURACY ASSESSMENT ; EXTRACTION ; RESOLUTION ; DELINEATION ; ALGORITHM ; MEGAFAN ; RIVER ; GEOMORPHOLOGY ; CATCHMENT
WOS类目	Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向	Computer Science ; Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352122
作者单位	[Goorabi, Abolghasem; Karimi, Mostafa] Univ Tehran, Fac Geog, Dept Phys Geog, POB 1417853933,Encilab Ave, Tehran, Iran; [Norini, Gianluca] CNR, Sez Milano, Ist Geol Ambientale & Geoingn, Rome, Italy
推荐引用方式 GB/T 7714	Goorabi, Abolghasem,Karimi, Mostafa,Norini, Gianluca. Semi-automated method for the mapping of alluvial fans from DEM[J],2021.
APA	Goorabi, Abolghasem,Karimi, Mostafa,&Norini, Gianluca.(2021).Semi-automated method for the mapping of alluvial fans from DEM.EARTH SCIENCE INFORMATICS.
MLA	Goorabi, Abolghasem,et al."Semi-automated method for the mapping of alluvial fans from DEM".EARTH SCIENCE INFORMATICS (2021).