Dataset of Mountain Characteristic Elements in Liangshan Mountain
HU Jinlong1LUO Mingliang*2TANG Mengge3WEI Lan4YAN Zihong2QIN Zihan2
1 School of Civil Engineering and Geomatics，Southwest Petroleum University，Chengdu 610500，China2 School of Geographical Science，China West Normal University，Nanchong 637002，China3 Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China4 Yingjing Natural Resources and Planning Bureau，Ya’an 625200，China
DOI:10.3974/geodb.2021.10.09.V1
Published:Oct. 2021
Visitors：8170 Data Files Downloaded：69
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Key Words：
mountain characteristic element,ridge lines,Liangshan Mountain
Abstract：
Liangshan Mountain is located in Sichuan Province of China. The Dataset of Mountain Characteristic Elements in Liangshan Mountain was developed based on the SRTM3 DEM 90 m data by algorithm for the integration of mountain peaks, ridge lines and control areas. Then the results were combined with that by fuzzy membership analysis methodology. The dataset is consisted of: (1) boundary of Liangshan Mountain; (2) main mountain area; (3) main ridge lines; (4) ridge lines obtained by fuzzy membership; and (5) contours data at 100 m intervals. The dataset is archived in .shp, .tif and .txt data formats, and consists of 55 data files with data size of 29.6 MB (Compressed into one single file with 14.9 MB). Τhe research paper related to the dataset was published at the Journal of Geo-Information Science, Vol. 22, No. 3, 2020.Browse
Foundation Item：
National Natural Science Foundation of China (41871324)
Data Citation：
HU Jinlong, LUO Mingliang*, TANG Mengge, WEI Lan, YAN Zihong, QIN Zihan. Dataset of Mountain Characteristic Elements in Liangshan Mountain[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021. https://doi.org/10.3974/geodb.2021.10.09.V1.
HU Jinlong, LUO Mingliang, TANG Mengge, et al. A dataset of integrated mountain characteristic elements in Liangshan plateau mountain [J]. Journal of Global Change Data & Discovery, 2022, 6(1): 142–148.
References：
[1] Hu, J. L., Tang, M. G., Luo, M. L., et al. The extraction of characteristic elements of mountain based on DEM [J]. Journal of Geo-information Science, 2020, 22(3): 422-430.
[2] Zhong, X. H., Liu, S. Z. Research on the Mountain Classification in China [J]. Mountain Research, 2014, 32(2): 129-140.
[3] Zhou, C. H., Cheng, W. M., Qian, J. K., et al. Research on the classification system of digital land geomorphology of 1:10000 in China [J]. Journal of Geo-Information Science, 2009, 11(6): 707-724.
[4] Luo, M. L., Tang, G. A. Mountain peaks extraction based on geomorphology cognitive and space segmentation [J]. Science of Surveying and Mapping, 2010, 35(5): 126-127, 253.
[5] Luo, Y. The research on Macro Mountain Lines extraction and its assistant technology [D]. Xi’an University of Architecture and Technology, 2012.
[6] Yang, L., Zhu, A. X., Qin, C. Z., et al. Comprehensive measurement of district's urbanization level: A case study of jiangsu province [J]. Resources and Environment in the Yangtze Basin, 2009, 46(1): 9-15.
[7] Sichuan Bureau of Surveying, Maping and Geoinformation. Standard Map of Sichuan Provincial Bureau of Surveying and Mapping [DB/OL]. http://scsm.mnr.gov.cn/nbzdt.htm.
[8] Schmidt, J., Hewitt, A. Fuzzy land element classification from DTMs based on geometry and terrain position [J]. Geoderma, 2004, 121(3-4): 243-256.
Data Product:
| ID |
Data Name |
Data Size |
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| 0 | Datapaper_Ridgeline&MountainareaLiangshan.pdf | 6251.00kb | DownLoad |
| 1 |
Ridgeline&MountainareaLiangshan.rar |
15344.27KB |
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