Application evaluation of the bounding algorithm for breakline in grid DEM

HU Gang,SONG Hui, ZHANG Mingli

Journal of Nanjing Forestry University (Natural Sciences Edition） ›› 2014, Vol. 38 ›› Issue (01) : 140-144.

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南京林业大学学报（自然科学版）
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Journal of Nanjing Forestry University (Natural Sciences Edition） ›› 2014, Vol. 38 ›› Issue (01) : 140-144. DOI: 10.3969/j.issn.1000-2006.2014.01.025

Application evaluation of the bounding algorithm for breakline in grid DEM

  • HU Gang1,2,SONG Hui1, ZHANG Mingli3
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Abstract

With the development of science and technology, it has been widely applied in scientific research for the large-scale DEM(digital elevation model)with data collected in field. The use of breakline would greatly improve the quality of DEM. In this paper breakline algorithm was detailedly analyzed in the construction of regular grid DEM. The data were measured by high-precision differential GPS. The grid DEM with bounding algorithm was in the form of large-scale gully, and it was then compared with measured values and the regular grid DEM without bounding algorithm. The results indicated that the grid DEM with bounding algorithm can compare very well with the real morphology. The TIN was also constructed with the same data, and it was then converted to regular grid DEM with the same resolution. The converted DEM didn’t have better performance than the regular grid DEM. It was also found that the RMSE between measured values and interpolation results decreases with the reduction of grid spacing, which demonstrates that the regular grid DEM has gradually enhanced fitting precision for terrain with decreasing grid spacing.

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HU Gang,SONG Hui, ZHANG Mingli. Application evaluation of the bounding algorithm for breakline in grid DEM[J]. Journal of Nanjing Forestry University (Natural Sciences Edition）. 2014, 38(01): 140-144 https://doi.org/10.3969/j.issn.1000-2006.2014.01.025

References

[1] 林杰, 张波, 李海东, 等. 基于HEC-GeoHMS 和DEM 的数字小流域划分[J]. 南京林业大学学报:自然科学版,2009, 33(5):65-68. Lin J, Zhang B, Li H D, et al. The classification of watershed in Chunhua basin based on HEC -GeoHMS and DEM[J]. Journal of Nanjing Forestry University:Natural Sciences Edition, 2009, 33(5):65-68.
[2] McMaster K J. Effects of digital elevation model resolution on derived stream network positions[J]. Water Resources Research,2002, 38(4):1-13.
[3] Conforti M, Aucelli P P C, Robustelli G, et al. Geomorphology and GIS analysis for mapping gully erosion susceptibility in the Turbolo stream catchment(Northern Calabria, Italy)[J]. Natural Hazards,2011, 56(3):881-898.
[4] Renard K G, Foster G R, Weesies G A, et al. Predicting soil erosion by water:a guide to conservation planning with the revised universal soil loss equation(RUSLE)[R]. US Department of Agriculture:Agricultural Handbook 703, 1997.
[5] Irfan Ashraf M, Zhao Z, Bourque C P A, et al. GIS-evaluation of two slope-calculation methods regarding their suitability in slope analysis using high-precision LiDAR digital elevation models[J]. Hydrological Processes,2012, 26(8):1119-1133.
[6] Warren S D, Hohmann M G, Auerswald K, et al. An evaluation of methods to determine slope using digital elevation data[J]. Catena,2004,58(3):215-233.
[7] Zhao Z, Benoy G, Chow T L, et al. Impacts of accuracy and resolution of conventional and LiDAR based DEMs on parameters used in hydrologic modeling[J]. Water Resources Management,2010,24(7):1363-1380.
[8] Pellerin P, Benoit R, Kouwen N, et al. On the use of coupled atmospheric and hydrologic models at regional scale[C]// High Performance Computing Systems and Applications. New York:Springer, 2000.
[9] Thompson J A, Bell J C, Butler C A. Digital elevation model resolution:effects on terrain attribute calculation and quantitative soil-landscape modeling[J]. Geoderma,2001,100(1-2):67-89.
[10] Liu H, Kiesel J, Hörmann G, et al. Effects of DEM horizontal resolution and methods on calculating the slope length factor in gently rolling landscapes[J]. Catena,2011, 87(3):368-375.
[11] 汪邦稳, 杨勤科, 刘志红, 等. 基于DEM和GIS的修正通用土壤流失方程地形因子值的提取[J]. 中国水土保持科学, 2007, 5(2):18-23.Wang B W, Yang Q K, Liu Z H, et al. Extraction of RUSLE-LS factors using DEM data and GIS techniques[J]. Science of Soil and Water Conservation, 2007, 5(2):18-23.
[12] 杨勤科, 郭伟玲, 张宏鸣, 等. 基于DEM的流域坡度坡长因子计算方法研究初报[J]. 水土保持通报,2010, 30(2):203-206.Yang Q K, Guo W L, Zhang H M, et al. Method of extracting LS factor at watershed scale based on DEM[J]. Bulletin of Soil and Water Conservation, 2010, 30(2):203-206.
[13] 罗红, 马友鑫, 刘文俊, 等. 采用最大溯源径流路径法估算RUSLE模型中地形因子探讨[J]. 应用生态学报, 2010, 21(5):1185-1189.Luo H, Ma Y X, Liu W J, et al. Estimation of topographical factors in revised universal soil loss model based on maximum upstream flow path[J]. Chinese Journal of Applied Ecology,2010, 21(5):1185-1189.
[14] 李晓印, 郭达志,张佃国. DEM与TIN的数据精度与应用领域的对比分析[J]. 济南大学学报:自然科学版,2009, 23(1):76-79.Li X Y, Guo D Z, Zhang D G. Contrast analysis of DEM and TIN in application and data precision[J], Journal of Jinan University:Science & Technology,2009, 23(1):76-79.
[15] 李志林,朱庆著. 数字高程模型[M]. 武汉:武汉大学出版社,2001.
[16] Murphy P N C, Ogilvie J, Meng F-R, et al. Stream network modelling using lidar and photogrammetric digital elevation models:a comparison and field verification[J]. Hydrological Processes,2008, 22(12):1747-1754.
[17] 胡刚, 伍永秋, 刘宝元, 等. GPS和GIS进行短期沟蚀研究初探[J]. 水土保持学报,2004, 18(4):16-19.Hu G, Wu Y Q, Liu B Y, et al. Preliminary research on short-term channel erosion using GPS and GIS[J]. Journal of Soil and Water Conservation,2004, 18(4):16-19.
[18] 陈学工,黄晶晶. Delaunay三角网剖分中的约束边嵌入算法[J]. 计算机工程,2007, 33(16):56-58.Chen X G, Huang J J. Algorithm of inserting constrained edge into delaunay triangulation[J]. Computer Engineering,2007, 33(16):56-58.
[19] Isaaks E H, Srivastava R M. An Introduction to Applied Geostatistics[M]. New York: Oxford University Press,1989.
[20] 汤国安,杨昕. ArcGis地理信息系统空间分析实验教程[M]. 北京:科学出版社, 2005.
[21] 胡刚,伍永秋,刘宝元,等.东北漫岗黑土区切沟侵蚀发育特征[J]. 地理学报,2007,62(11):1165-1173. Hu G, Wu Y Q, Liu B Y, et al. The growth characteristics of gully erosion over rolling hilly black soil area of northeast China[J]. Acta Geographica Sinica,2007,62(11):1165-1173.
[22] 朱求安, 张万昌,余钧辉. 基于GIS的空间插值方法研究[J]. 江西师范大学学报:自然科学版,2004, 28(2):183-188.Zhu Q A, Zhang W C, Yu J H. The spatial interpolations in GIS[J]. Jounal of Jiangxi Normal University:Natural Science Edition,2004, 28(2):183-188.
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