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Re-delineating mountainous areas with three topographic parameters in Mainland Southeast Asia using ASTER global digital elevation model data

文献类型：期刊论文

作者Xiao Chi-wei1,2; Li Peng1,2; Feng Zhi-ming1,2
刊名JOURNAL OF MOUNTAIN SCIENCE
出版日期2018-08-01
卷号15期号:8页码:1728-1740
关键词Mountainous areas Local elevation range (LER) Statistical analysis Global digital elevation model Mainland Southeast Asia (MSEA)
ISSN号1672-6316
DOI10.1007/s11629-017-4746-8
通讯作者Feng Zhi-ming(fengzm@igsnrr.ac.cn)
英文摘要Tropical mountainous areas not only provide substantial carbon storage and play an important role in global biological diversity, but also provide basic livelihood for a large number of poor ethnic minorities. However, there is no unified and explicit definition for mountainous areas. The local elevation range (LER) is a crucial structural parameter for delineating mountainous areas. However, current LER products are limited by the subjective selection of an optimum statistical window or coarser spatial resolution of topographical data. In this study, we presented an approach using thresholds for three topographic parameters, elevation, slope, and LER, derived from the Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) to redelineate the vast mountainous areas of mainland Southeast Asia (MSEA). The mean change-point analysis method was applied to determine the optimum statistical window of the 1 arc second (approximately 30 m)-resolution GDEM LER. The results showed that: First, the optimum statistical window is 38 x 38 cell units (width x height) in a rectangular neighborhood, or an area of about 1.30 km(2) for calculating GDEM LER in MSEA. Second, the LER of more than 80% of the area ranges from 30 m to 499 m in MSEA. The LERs in the northern and northwestern MSEA are greater than their counterparts in the south and east. Third, the area of the re-delineated mountainous areas was 83.52 x 10(4) km(2), about 38.71% of the total area. Spatially, the mountainous areas are mainly distributed in the north and northeast of MSEA. The re-delineated 30-m resolution map of the mountainous areas will serve as a topographical dataset for monitoring mountainrelated land surface changes in MSEA. The parameter-modified mountain extraction procedure can be expanded to delineate global mountainous areas.
WOS关键词POPULATION-DISTRIBUTION ; SPATIAL-DISTRIBUTION ; ACCURACY ASSESSMENT ; RELIEF DEGREE ; LAND-SURFACE ; SRTM DEM ; GDEM V2 ; CHINA ; CLASSIFICATIONS ; GEOMORPHOLOGY
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010203]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000442239600009
出版者SCIENCE PRESS
资助机构Strategic Priority Research Program of Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/54376]  
专题中国科学院地理科学与资源研究所
通讯作者Feng Zhi-ming
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Xiao Chi-wei,Li Peng,Feng Zhi-ming. Re-delineating mountainous areas with three topographic parameters in Mainland Southeast Asia using ASTER global digital elevation model data[J]. JOURNAL OF MOUNTAIN SCIENCE,2018,15(8):1728-1740.
APA Xiao Chi-wei,Li Peng,&Feng Zhi-ming.(2018).Re-delineating mountainous areas with three topographic parameters in Mainland Southeast Asia using ASTER global digital elevation model data.JOURNAL OF MOUNTAIN SCIENCE,15(8),1728-1740.
MLA Xiao Chi-wei,et al."Re-delineating mountainous areas with three topographic parameters in Mainland Southeast Asia using ASTER global digital elevation model data".JOURNAL OF MOUNTAIN SCIENCE 15.8(2018):1728-1740.

入库方式： OAI收割

来源：地理科学与资源研究所

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