{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T14:40:15Z","timestamp":1771512015598,"version":"3.50.1"},"reference-count":49,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2019,6,24]],"date-time":"2019-06-24T00:00:00Z","timestamp":1561334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2017YFC0601501"],"award-info":[{"award-number":["2017YFC0601501"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2017YFC0601502"],"award-info":[{"award-number":["2017YFC0601502"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003500","name":"Universit\u00e0 degli Studi di Padova","doi-asserted-by":"publisher","award":["60A08-5455\/15"],"award-info":[{"award-number":["60A08-5455\/15"]}],"id":[{"id":"10.13039\/501100003500","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Human activities have reshaped the geomorphology of landscapes and created vast anthropogenic geomorphic features, which have distinct characteristics compared with landforms produced by natural processes. High-resolution topography from LiDAR has opened avenues for the analysis of anthropogenic geomorphic signatures, providing new opportunities for a better understanding of Earth surface processes and landforms. However, quantitative identification and monitoring of such anthropogenic signature still represent a challenge for the Earth science community. The purpose of this contribution is to explore a method for monitoring geomorphic changes and identifying the driving forces of such changes. The study was carried out on the Eibar watershed in Spain. The proposed method is able to quantitatively detect anthropogenic geomorphic changes based on multi-temporal LiDAR topography, and it is based on a combination of two techniques: the DEM of Difference (DoD) and the Slope Local Length of Auto-correlation (SLLAC). First, we tested the capability of the SLLAC and derived parameters to distinguish different types of anthropogenic geomorphologies in 5 study case at a small scale. Second, we calculated the DoD to quantify the geomorphic changes between 2008 and 2016. Based on the proposed approach, we classified the whole basin into three categories of geomorphic changes (natural, urban or mosaic areas). The urban area had the most clustered and largest geomorphic changes, followed by the mosaic area and the natural area. This research might help to identify and monitoring anthropogenic geomorphic changes over large areas, to schedule sustainable environmental planning, and to mitigate the consequences of anthropogenic alteration.<\/jats:p>","DOI":"10.3390\/rs11121493","type":"journal-article","created":{"date-parts":[[2019,6,24]],"date-time":"2019-06-24T11:01:57Z","timestamp":1561374117000},"page":"1493","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Quantitative Analysis of Anthropogenic Morphologies Based on Multi-Temporal High-Resolution Topography"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5437-1884","authenticated-orcid":false,"given":"Jie","family":"Xiang","sequence":"first","affiliation":[{"name":"MNR Key Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China"}]},{"given":"Shi","family":"Li","sequence":"additional","affiliation":[{"name":"School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China"}]},{"given":"Keyan","family":"Xiao","sequence":"additional","affiliation":[{"name":"MNR Key Laboratory of Metallogeny and Mineral Resource Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China"}]},{"given":"Jianping","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China"}]},{"given":"Giulia","family":"Sofia","sequence":"additional","affiliation":[{"name":"Department of Civil &amp; Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0043-5226","authenticated-orcid":false,"given":"Paolo","family":"Tarolli","sequence":"additional","affiliation":[{"name":"Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, viale dell\u2019Universit\u00e0 16, 35020 Legnaro, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2019,6,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.geomorph.2015.12.007","article-title":"Human topographic signatures and derived geomorphic processes across landscapes","volume":"255","author":"Tarolli","year":"2016","journal-title":"Geomorphology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.ancene.2013.03.001","article-title":"Wilderness is dead: Whither critical zone studies and geomorphology in the Anthropocene?","volume":"2","author":"Wohl","year":"2013","journal-title":"Anthropocene"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2301","DOI":"10.1002\/esp.4059","article-title":"Humans and the Earth\u2019s surface","volume":"41","author":"Tarolli","year":"2016","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1579\/0044-7447(2007)36[296:MTSBLF]2.0.CO;2","article-title":"Moving to sustainability by learning from successful fisheries","volume":"36","author":"Hilborn","year":"2007","journal-title":"Ambio"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.geomorph.2015.03.008","article-title":"A meta-analysis of soil erosion rates across the world","volume":"239","year":"2015","journal-title":"Geomorphology"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/B978-0-12-809665-9.10501-4","article-title":"The Geomorphology of the Human Age","volume":"1","author":"Tarolli","year":"2018","journal-title":"Encycl. Anthr."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.geomorph.2014.07.008","article-title":"Anthropogenic contribution to the geological and geomorphological record: A case study from Great Yarmouth, Norfolk, UK","volume":"253","author":"Jordan","year":"2016","journal-title":"Geomorphology"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.earscirev.2015.05.012","article-title":"Analyzing high resolution topography for advancing the understanding of mass and energy transfer through landscapes: A review","volume":"148","author":"Passalacqua","year":"2015","journal-title":"Earth Sci. Rev."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.geomorph.2014.03.008","article-title":"High-resolution topography for understanding Earth surface processes: Opportunities and challenges","volume":"216","author":"Tarolli","year":"2014","journal-title":"Geomorphology"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1002\/esp.3842","article-title":"Metrics for quantifying anthropogenic impacts on geomorphology: Road networks","volume":"41","author":"Sofia","year":"2016","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_11","first-page":"1","article-title":"DEMs of Difference","volume":"2","author":"Williams","year":"2012","journal-title":"Geomorphol. Tech."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1002\/esp.1886","article-title":"Accounting for uncertainty in DEMs from repeat topographic surveys: Improved sediment budgets","volume":"35","author":"Wheaton","year":"2010","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1002\/esp.3290190406","article-title":"Developments in monitoring and modelling small-scale river bed topography","volume":"19","author":"Lane","year":"1994","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1002\/1096-9837(200008)25:9<973::AID-ESP111>3.0.CO;2-Y","article-title":"Monitoring and modelling morphological change in a braided gravel-bed river using high resolution GPS-based survey","volume":"25","author":"Brasington","year":"2000","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1002\/(SICI)1096-9837(200002)25:2<209::AID-ESP84>3.0.CO;2-Z","article-title":"The development of an automated correction procedure for digital photogrammetry for the study of wide, shallow, gravel-bed rivers","volume":"25","author":"Westaway","year":"2000","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1891","DOI":"10.1002\/esp.3767","article-title":"Bank erosion in agricultural drainage networks: New challenges from structure-from-motion photogrammetry for post-event analysis","volume":"40","author":"Prosdocimi","year":"2015","journal-title":"Earth Surf. Process. Landf."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S0169-555X(02)00320-3","article-title":"Methodological sensitivity of morphometric estimates of coarse fluvial sediment transport","volume":"53","author":"Brasington","year":"2003","journal-title":"Geomorphology"},{"key":"ref_18","unstructured":"Vericat, D., Wheaton, J.M., and Brasington, J. (2015). Revisiting the morphological appoach: Opportunities and challenges with repeat high resolution topography. Gbr8, 1\u201345."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.isprsjprs.2014.06.018","article-title":"A new landscape metric for the identification of terraced sites: The Slope Local Length of Auto-Correlation (SLLAC)","volume":"96","author":"Sofia","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.spasta.2013.01.002","article-title":"Analysing the growth of OpenStreetMap networks","volume":"3","author":"Corcoran","year":"2013","journal-title":"Spat. Stat."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"76","DOI":"10.3390\/fi6010076","article-title":"Recent Developments and Future Trends in Volunteered Geographic Information Research: The Case of OpenStreetMap","volume":"6","author":"Neis","year":"2014","journal-title":"Future Internet"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"146","DOI":"10.3390\/ijgi1020146","article-title":"Analyzing the contributor activity of a volunteered geographic information project\u2014The case of OpenStreetMap","volume":"1","author":"Neis","year":"2012","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1068\/b35097","article-title":"How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets","volume":"37","author":"Haklay","year":"2010","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1080\/13614568.2011.552647","article-title":"A qualitative enquiry into OpenStreetMap making","volume":"17","author":"Lin","year":"2011","journal-title":"New Rev. Hypermedia Multimed."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2011WR010958","article-title":"Automatic geomorphic feature extraction from lidar in flat and engineered landscapes","volume":"48","author":"Passalacqua","year":"2012","journal-title":"Water Resour. Res."},{"key":"ref_26","unstructured":"Evans, I.S. (1979). An Integrated System of Terrain Analysis and Slope Mapping: Final Report on Grant DA-ERO-591-73-G0040, Durham University."},{"key":"ref_27","unstructured":"International Organization of Standardization (ISO) (2013). 25178-2:Geometrical Product Specifications (GPS)-Surface Texture: Areal-Part 2: Terms, Definitions and Surface Texture Parameters, ISO."},{"key":"ref_28","first-page":"76","article-title":"Open-pit mining geomorphic feature characterisation","volume":"42","author":"Chen","year":"2015","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1177\/0309133318825284","article-title":"From features to fingerprints: A general diagnostic framework for anthropogenic geomorphology","volume":"43","author":"Tarolli","year":"2019","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Sofia, G., Masin, R., and Tarolli, P. (2017). Prospects for crowdsourced information on the geomorphic \u2018engineering\u2019 by the invasive Coypu (Myocastor coypus). Earth Surf. Process. Landf.","DOI":"10.1002\/esp.4081"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1111\/j.2517-6161.1948.tb00012.x","article-title":"The interpretation of statistical maps","volume":"10","author":"Moran","year":"1948","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"ref_32","first-page":"23","article-title":"Automatic characterization of road networks under forest cover: Advances in the analysis of roads and geomorphic process interaction","volume":"39","author":"Sofia","year":"2016","journal-title":"Rend. Online Soc. Geol. Ital."},{"key":"ref_33","first-page":"801","article-title":"Sur la division des corp materiels en parties","volume":"1","author":"Steinhaus","year":"1956","journal-title":"Bull. Acad. Pol. Sci"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1016\/j.patrec.2009.09.011","article-title":"Data clustering: 50 years beyond K-means","volume":"31","author":"Jain","year":"2010","journal-title":"Pattern Recognit. Lett."},{"key":"ref_35","first-page":"1025","article-title":"K-Means++: The Advantages of Careful Seeding","volume":"8","author":"Arthur","year":"2007","journal-title":"Proc. Eighteenth Annu. ACM-SIAM Symp. Discret. Algorithms"},{"key":"ref_36","first-page":"47","article-title":"Automated reconstruction of topographic objects from aerial images using vectorized map information","volume":"23","author":"Heipke","year":"1997","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s11069-010-9695-2","article-title":"Geomorphic features extraction from high-resolution topography: Landslide crowns and bank erosion","volume":"61","author":"Tarolli","year":"2012","journal-title":"Nat. Hazards"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Xiang, J., Chen, J., Sofia, G., Tian, Y., and Tarolli, P. (2018). Open-pit mine geomorphic changes analysis using multi-temporal UAV survey. Environ. Earth Sci.","DOI":"10.1007\/s12665-018-7383-9"},{"key":"ref_39","unstructured":"Forman, R., Sperling, D., Bissonette, J., Clevenger, A., Cutshall, C., Dale, V., Fahrig, L., France, R., Goldman, C., and Heanue, K. (2003). Road ecology: Science and solutions. Rev. Lit. Arts Am."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1890\/070062","article-title":"Putting people in the map: Anthropogenic biomes of the world","volume":"6","author":"Ellis","year":"2008","journal-title":"Front. Ecol. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1126\/science.289.5478.395","article-title":"The Value of Nature and the Nature of Value","volume":"289","author":"Daily","year":"2000","journal-title":"Science"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1111\/j.1538-4632.1992.tb00261.x","article-title":"The analysis of spatial association by use of distance statistics","volume":"24","author":"Getis","year":"1992","journal-title":"Geogr. Anal."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1130\/0091-7613(2000)28<843:OTHOHA>2.0.CO;2","article-title":"On the history of humans as geomorphic agents","volume":"28","author":"Hooke","year":"2000","journal-title":"Geology"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1111\/1745-5871.12121","article-title":"The Geography of the Anthropocene in N ew Z ealand: Differential River Catchment Response to Human Impact","volume":"53","author":"Fuller","year":"2015","journal-title":"Geogr. Res."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.landurbplan.2007.07.002","article-title":"The morphology of built-up landscapes in Wallonia (Belgium): A classification using fractal indices","volume":"84","author":"Thomas","year":"2008","journal-title":"Landsc. Urban Plan."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Beck, J., and Sieber, A. (2010). Is the Spatial Distribution of Mankind\u2019s Most Basic Economic Traits Determined by Climate and Soil Alone?. PLoS ONE, 5.","DOI":"10.1371\/journal.pone.0010416"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Nol\u00e8, G., Danese, M., Murgante, B., Lasaponara, R., and Lanorte, A. (2012). Using Spatial Autocorrelation Techniques and Multi-Temporal Satellite Data for Analyzing Urban Sprawl, Springer.","DOI":"10.1007\/978-3-642-31137-6_39"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1007\/s11769-007-0034-9","article-title":"Spatial autocorrelation and localization of urban development","volume":"17","author":"Liu","year":"2007","journal-title":"Chin. Geogr. Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1130\/G21108.1","article-title":"Humans as geologic agents: A deep-time perspective","volume":"33","author":"Wilkinson","year":"2005","journal-title":"Geology"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/12\/1493\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:00:52Z","timestamp":1760187652000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/12\/1493"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,24]]},"references-count":49,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2019,6]]}},"alternative-id":["rs11121493"],"URL":"https:\/\/doi.org\/10.3390\/rs11121493","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6,24]]}}}