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地形信息对确定DEM适宜分辨率的影响

DOI: 10.11820/dlkxjz.2014.01.006, PP. 50-56

Keywords: 尺度,地形信息,适宜分辨率,数字地形分析(DTA),数字高程模型(DEM)

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Abstract:

分辨率会直接影响基于栅格数字高程模型(DEM)的数字地形分析结果,因此在实际应用中,需要选择适宜的DEM分辨率。目前采取的基本方法,基于某种地形信息定量刻画尺度效应曲线,从而确定DEM适宜分辨率,但对于采用不同地形信息时所产生的影响尚缺乏研究。本文针对该方法中通常采用的坡度、剖面曲率、水平曲率等3种地形信息,每种地形信息提取时,分别使用两种不同的常用算法,在3个不同地形特征的研究区中,逐一计算其在不同分辨率下的局部方差均值,以刻画尺度效应曲线,确定相应的DEM适宜分辨率,并进行对比分析。结果表明①采用剖面曲率或水平曲率所得适宜分辨率结果基本相同,但采用坡度所得出的适宜分辨率结果则有明显差别,后者所得的适宜分辨率更粗;②采用不同地形信息时,越是在平缓地形为主的研究区,所得的适宜分辨率结果越相近,在复合地形特征的研究区所得到的适宜分辨率区间均明显较宽;③地形属性计算时所用的算法对适宜分辨率结果的影响不明显。

References

[1]  Yang D W, Herath S, Musiake K. 2001. Spatial resolution sensitivityof catchment geomorphologic properties and theeffect on hydrological simulation. Hydrological Processes, 15(11): 2085-2099.
[2]  Zevenbergen L W, Thorne C R. 1987. Quantitative analysis ofland surface topography. Earth Surface Processes andLandforms, 12(1): 47-56.
[3]  包黎莉, 秦承志, 朱阿兴. 2011. 地形湿度指数算法误差的定量评价. 地理科学进展, 30(1): 57-64.[Bao L L, Qin CZ, Zhu A X. 2011. Quantitative error assessment of topographicwetness index algorithms. Progress in Geography, 30(1): 57-64.]
[4]  包黎莉, 秦承志, 朱阿兴, 等. 2012. DEM误差对滑坡危险性评价模型的影响. 地理科学进展, 31(10): 1326-1333.[Bao L L, Qin C Z, Zhu A X, et al. 2012. Effect of DEMerror on landslide susceptibility mapping models. Progressin Geography, 31(10): 1326-1333.]
[5]  李双成, 高伟明, 周巧富, 等. 2006. 基于小波变换的NDVI与地形因子多尺度空间相关分析. 生态学报, 26(12):4198-4203.[Li S C, Gao W M, Zhou Q F, et al. 2006.Multi-scale spatial analysis on NVDI and topographicalfactors using wavelet transform. Acta Ecologica Sinica, 26(12): 4198-4203.]
[6]  刘学军, 卢华兴, 仁政, 等. 2007. 论DEM地形分析中的尺度问题. 地理研究, 26(3): 433-442.[Liu X J, Lu H X, RenZ, et al. 2007. Scale issues in digital terrain analysis andterrain modeling. Geographical Research, 26(3):433-442.]
[7]  秦承志, 呼雪梅. 2014. 栅格数字地形分析中的尺度问题研究方法. 地理研究, 待出版.[Qin C Z, Hu X M. 2014.Review on scale-related researches in grid-based digitalterrain analysis. Geographical Research, in press.]
[8]  宋晓猛, 张建云, 占车生, 等. 2013. 基于DEM的数字流域特征提取研究进展. 地理科学进展, 32(1): 31-40.[Song XM, Zhang J Y, Zhan C S, et al. 2013. Advances in digitalwatershed features extracting based on DEM. Progress inGeography, 32(1): 31-40.]
[9]  汤国安, 刘学军, 房亮, 等. 2006. DEM及数字地形分析中尺度问题研究综述. 武汉大学学报: 信息科学版, 31(12):1059-1066.[Tang G A, Liu X J, Fang L, et al. 2006. A reviewon the scale issue in DEMs and digital terrain analysis.Geomatics and Information Science of Wuhan University, 31(12): 1059-1066.]
[10]  周启鸣, 刘学军. 2006. 数字地形分析. 北京: 科学出版社.[Zhou Q M, Liu X J. 2006. Digital terrain analysis. Beijing, China: Science Press.]
[11]  Atkinson P M, Curran P J. 1997. Choosing an appropriate spatialresolution for remote sensing investigations. PhotogrammetricEngineering and Remote Sensing, 63(12):1345-1351.
[12]  Behrens T, Zhu A X, Schmidt K, et al. 2010. Multi-scale digitalterrain analysis and feature selection for digital soilmapping. Geoderma, 155(3): 175-185.
[13]  Burrough P A, McDonell R A. 1998. Principles of geographicalinformation systems. New York: Oxford UniversityPress.
[14]  Deng Y, Wilson J P, Bauer B O. 2007. DEM resolution dependenciesof terrain attributes across a landscape. InternationalJournal of Geographical Information Science, 21(1-2): 187-213.
[15]  Dr?gu? L, Eisank C, Strasser T. 2011. Local variance formulti-scale analysis in geomorphometry. Geomorphology, 130(3-4): 162-172.
[16]  Hengl T, Reuter H I. 2009. Geomorphometry: concepts, software, applications. Amsterdam: Elsevier.
[17]  Horn B K P. 1981. Hill shading and the reflectance map. Proceedingsof IEEE, 69(1): 14-47.
[18]  Hutchinson M F. 1996. A locally adaptive approach to the interpolationof digital elevation models. The Third InternationalConference/Workshop on Integrating GIS and EnvironmentalModeling. Santa Fe, NM: January 21-25.
[19]  Liu H H, Kiesel J, H?mann G, et al. 2011. Effects of DEMhorizontal resolution and methods on calculating theslope length factor in gently rolling landscapes. CATENA, 87(3): 368-375.
[20]  Schmidt J, Andrew R. 2005. Multi-scale landform characterization.Area, 37(3): 341-350.
[21]  Shary P A, Sharaya L S, Mitusov A V. 2002. Fundamentalquantitative methods of land surface analysis. Geoderma, 107(1): 1-32.
[22]  Smith M P, Zhu A X, Burt J E, et al. 2006. The effects ofDEM resolution and neighborhood size on digital soil survey.Geoderma, 137(1): 58-69.
[23]  Wilson J P, Gallant J C. 2000. Terrain analysis: principles andapplications. Chichester, UK:Wiley.Wilson J P. 2012. Digital terrain modeling. Geomorphology, 137(1): 107-121.
[24]  Wood J. 1996. The geomorphological characterisation of digitalelevation models[D]. Leicester, UK: University ofLeicester.
[25]  Woodcock C E, Strahler A H. 1987. The factor of scale in remotesensing. Remote Sensing of Environment, 21(3):311-332.

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