{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:01:39Z","timestamp":1774368099495,"version":"3.50.1"},"reference-count":28,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,12,7]],"date-time":"2018-12-07T00:00:00Z","timestamp":1544140800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Qinke Yang","award":["41371274"],"award-info":[{"award-number":["41371274"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Surface roughness is a key parameter that reflects topographic characteristics and influences surface processes, and characterization of surface roughness is a fundamental problem in geoscience. In recent years, although there have been basic studies on roughness, few studies have compared the concept and quantification of roughness, and there have been few studies that have evaluated the ability of partition terrain features. Based on 1\u2033 resolution Shuttle Radar Topography Mission (SRTM) data and previous studies, we selected the Qinba Mountain region of China and its adjacent areas as our study area, and used 13 different roughness algorithms to extract roughness in this study. Using spatial patterns and statistical distributions, the results were analyzed, and the best algorithm suited to partitioning terrain features was selected. We then evaluated the ability of the algorithm to distinguish the terrain morphology. The results showed the following: (1) The 13 algorithms were able to be classified into four types, that is, gradient (SLOPE), relief (root mean squared height, RMSH), local vector (directional cosine eigenvalue, DCE) and power-spectral (two-dimensional continuous wavelet transform, 2D CWT). (2) The SLOPE and RMSH algorithms were better able to express and distinguish terrain, as they were able to macroscopically distinguish between four types of terrain in the study areas. Based on power-spectral methods, 2D CWT had the same discrimination ability as the first two methods following a normalization transform, whereas the DCE method had a general effect and could only distinguish two types of terrain. (3) Different roughness algorithms had their own applicability for different terrain areas and application directions.<\/jats:p>","DOI":"10.3390\/rs10121985","type":"journal-article","created":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T03:36:41Z","timestamp":1544413001000},"page":"1985","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Partitioning of Terrain Features Based on Roughness"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2778-7627","authenticated-orcid":false,"given":"Jiang","family":"Wu","sequence":"first","affiliation":[{"name":"College of Urban and Environmental Sciences, Northwest University, No. 1 Xuefu Street, Chang\u2019an District, Xi\u2019an 710127, China"}]},{"given":"Qinke","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Urban and Environmental Sciences, Northwest University, No. 1 Xuefu Street, Chang\u2019an District, Xi\u2019an 710127, China"}]},{"given":"Yuru","family":"Li","sequence":"additional","affiliation":[{"name":"College of Urban and Environmental Sciences, Northwest University, No. 1 Xuefu Street, Chang\u2019an District, Xi\u2019an 710127, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.cageo.2010.05.021","article-title":"A method for computation of surface roughness of digital elevation model terrains via multiscale analysis","volume":"37","author":"Hani","year":"2011","journal-title":"Comput. Geosci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"32777","DOI":"10.1029\/2000JE001429","article-title":"The roughness of natural terrain: A planetary and remote sensing perspective","volume":"106","author":"Shepard","year":"2001","journal-title":"J. Geophys. Res. Planets"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1109\/TGRS.2010.2053546","article-title":"Multiscale analysis of topographic surface roughness in the midland valley, scotland","volume":"49","author":"Grohmann","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_4","unstructured":"Lv, Y.L., and Li, G.Y. (1992). Surface roughness and soil wind erosion. Adv. Soil Sci., 38\u201342."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/S0169-555X(01)00029-0","article-title":"Scales of boundary resistance in coarse-grained channels: Turbulent velocity profiles and implications","volume":"39","author":"Lawless","year":"2001","journal-title":"Geomorphology"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.geomorph.2008.05.045","article-title":"The spatial characterization of turbulence around large roughness elements in a gravel-bed river","volume":"102","author":"Lacey","year":"2008","journal-title":"Geomorphology"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.catena.2005.08.005","article-title":"Soil surface roughness measurement\u2014Methods, applicability, and surface representation","volume":"64","author":"Jester","year":"2005","journal-title":"Catena"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.earscirev.2014.05.016","article-title":"Roughness in the earth sciences","volume":"136","author":"Smith","year":"2014","journal-title":"Earth-Sci. Rev."},{"key":"ref_9","unstructured":"Hobson, R.D. (1972). Surface Roughness in Topography: Quantitative Approach. Spatial Analysis in Geomorphology, Methuen & Co."},{"key":"ref_10","first-page":"104","article-title":"Terrain roughness measurement from elevation maps","volume":"4","author":"Hoffman","year":"1990","journal-title":"Int. Soc. Optics Photon."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/S0169-555X(03)00164-8","article-title":"Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry","volume":"57","author":"Mckean","year":"2004","journal-title":"Geomorphology"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.geomorph.2005.07.006","article-title":"Analysis of lidar-derived topographic information for characterizing and differentiating landslide morphology and activity","volume":"73","author":"Glenn","year":"2006","journal-title":"Geomorphology"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.geomorph.2009.02.027","article-title":"Automated landslide mapping using spectral analysis and high-resolution topographic data: Puget sound lowlands, washington, and portland hills, oregon","volume":"109","author":"Booth","year":"2009","journal-title":"Geomorphology"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.pss.2012.08.020","article-title":"Comparative study of the surface roughness of the moon, mars and mercury","volume":"73","author":"Pommerol","year":"2012","journal-title":"Planet. Space Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.geomorph.2012.10.022","article-title":"Comparative analysis of surface roughness algorithms for the identification of active landslides","volume":"182","author":"Berti","year":"2013","journal-title":"Geomorphology"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1002\/esp.1208","article-title":"Roughness\u2014Time for a re-evaluation?","volume":"30","author":"Lane","year":"2010","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1002\/hyp.3360050103","article-title":"Digital terrain modelling: A review of hydrological, geomorphological, and biological applications","volume":"5","author":"Moore","year":"2010","journal-title":"Hydrol. Process."},{"key":"ref_18","first-page":"162","article-title":"Algorithm comparison of relief amplitude based on dynamic effect mode","volume":"34","author":"Jiang","year":"2014","journal-title":"Bull. Soil Water Conserv."},{"key":"ref_19","first-page":"274","article-title":"An integrated system of terrain analysis and slope mapping","volume":"36","author":"Evans","year":"1980","journal-title":"Zeitschrift f\u00fcr Geomorphologie"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1029\/2006JF000644","article-title":"Characterizing arid region alluvial fan surface roughness with airborne laser swath mapping digital topographic data","volume":"112","author":"Frankel","year":"2007","journal-title":"J. Geophys. Res. Earth Surf."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"21911","DOI":"10.1029\/1999JE001051","article-title":"Kilometer-scale slopes on mars and their correlation with geologic units: Initial results from mars orbiter laser altimeter (mola) data","volume":"104","author":"Kreslavsky","year":"1999","journal-title":"J. Geophys. Res. Planets"},{"key":"ref_22","unstructured":"Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, L. Lawrence Earlbaum Associates."},{"key":"ref_23","first-page":"519","article-title":"A mathematical theory of communication: The bell system technical journal","volume":"196","author":"Shannon","year":"1938","journal-title":"J. Frankl. Inst."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1111\/j.2517-6161.1964.tb00553.x","article-title":"An analysis of transformations","volume":"26","author":"Box","year":"1964","journal-title":"J. R. Stat. Soc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.geomorph.2014.12.038","article-title":"Transformation (normalization) of slope gradient and surface curvatures, automated for statistical analyses from dems","volume":"232","author":"Csillik","year":"2015","journal-title":"Geomorphology"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1130\/G21296.1","article-title":"Constraints on landscape evolution from slope histograms","volume":"33","author":"Wolinsky","year":"2005","journal-title":"Geology"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2013.03.026","article-title":"An advanced photogrammetric method to measure surface roughness: Application to volcanic terrains in the piton de la fournaise, reunion island","volume":"135","author":"Bretar","year":"2013","journal-title":"Remote. Sens. Environ."},{"key":"ref_28","first-page":"292","article-title":"Review of land surface roughness parameterization studyreview of land surface roughness parameterization study","volume":"27","author":"Jiang","year":"2012","journal-title":"Adv. Earth Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/12\/1985\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:32:08Z","timestamp":1760196728000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/12\/1985"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,7]]},"references-count":28,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2018,12]]}},"alternative-id":["rs10121985"],"URL":"https:\/\/doi.org\/10.3390\/rs10121985","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,7]]}}}