{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T01:16:38Z","timestamp":1775178998270,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2021,9,11]],"date-time":"2021-09-11T00:00:00Z","timestamp":1631318400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The investigation of hard-to-reach areas that are prone to landslides is challenging. The research of landslide hazards can be significantly advanced by using remote sensing data obtained from an unmanned aerial vehicle (UAV). Operational acquisition and high detail are the advantages of UAV data. The development of appropriate automated algorithms and software solutions is necessary for quick decision-making based on the received heterogeneous spatial data characterising various aspects of the environment. This article introduces the first phase of a long-term study about landslide detection and prediction that aims to develop an automatic algorithm for detecting potentially hazardous landslide areas, using data obtained by UAV surveys. As a part of the project, the selection of appropriate techniques was implemented and a landslide susceptibility (LS) map of the study site was developed. This paper presents the outcomes of the applied indirect heuristic approach of landslide susceptibility assessment using an analytical hierarchy process (AHP) in a GIS environment, based on UAV data. The results obtained have been tested on a real-world entity.<\/jats:p>","DOI":"10.3390\/rs13183629","type":"journal-article","created":{"date-parts":[[2021,9,12]],"date-time":"2021-09-12T21:48:01Z","timestamp":1631483281000},"page":"3629","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["GIS-Based Landslide Susceptibility Mapping of the Circum-Baikal Railway in Russia Using UAV Data"],"prefix":"10.3390","volume":"13","author":[{"given":"Svetlana","family":"Gantimurova","sequence":"first","affiliation":[{"name":"Siberian School of Geosciences, Irkutsk National Research Technical University, Lermontova St. 89, 664074 Irkutsk, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3733-2140","authenticated-orcid":false,"given":"Alexander","family":"Parshin","sequence":"additional","affiliation":[{"name":"Siberian School of Geosciences, Irkutsk National Research Technical University, Lermontova St. 89, 664074 Irkutsk, Russia"},{"name":"Vinogradov Institute of Geochemistry SB RAS, Favorsky St. 1A, 664033 Irkutsk, Russia"}]},{"given":"Vladimir","family":"Erofeev","sequence":"additional","affiliation":[{"name":"Siberian School of Geosciences, Irkutsk National Research Technical University, Lermontova St. 89, 664074 Irkutsk, Russia"},{"name":"SibGIS Tech LLC, Berezovy 112, 664523 Markova, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,11]]},"reference":[{"key":"ref_1","unstructured":"Gadelshina, L.A., and Vakhitova, T.M. (2015, January 2\u20134). The Place and Role of Transport Infrastructure in the Interregional Integration of the Russian Federation Regions. Proceedings of the International Conference on Applied Economics ICOAE 2015, Kazan Russia."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"02017","DOI":"10.1051\/matecconf\/201821602017","article-title":"Design of the railway track infrastructure of the subpolar and northern regions","volume":"216","author":"Akkerman","year":"2018","journal-title":"MATEC Web Conf."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1007\/s00704-016-1919-2","article-title":"Landslide susceptibility modeling in a landslide prone area in Mazandarn Province, north of Iran: A comparison between GLM, GAM, MARS, and M-AHP methods","volume":"130","author":"Pourghasemi","year":"2017","journal-title":"Theor. Appl. Climatol."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Psomiadis, E., Papazachariou, A., Soulis, K.X., Alexiou, D.-S., and Charalampopoulos, I. (2020). Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data. Land, 9.","DOI":"10.3390\/land9050133"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1639","DOI":"10.1007\/s11069-021-04650-8","article-title":"Automated landslide detection model to delineate the extent of existing landslides","volume":"107","author":"Alimohammadlou","year":"2021","journal-title":"Nat. Hazards"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Sassa, K., and Canuti, P. (2009). Mapping: Inventories, Susceptibility, Hazard and Risk. Landslides\u2014Disaster Risk Reduction, Springer.","DOI":"10.1007\/978-3-540-69970-5"},{"key":"ref_7","unstructured":"Schultz, N. (2021, April 10). High Resolution Remote Sensing Using UAS Technology. Available online: https:\/\/hixon.yale.edu\/sites\/default\/files\/files\/fellows\/paper\/schultz_hixon_final_121517.pdf."},{"key":"ref_8","unstructured":"Eisenbei\u00df, H. (2009). UAV Photogrammetry, ETH Zurich."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Chud\u00fd, F., Sl\u00e1mov\u00e1, M., Toma\u0161t\u00edk, J., Proke\u0161ov\u00e1, R., and Mokro\u0161, M. (2019). Identification of Micro-Scale Landforms of Landslides Using Precise Digital Elevation Models. Geosciences, 9.","DOI":"10.3390\/geosciences9030117"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Jackisch, R., Lorenz, S., Zimmermann, R., M\u00f6ckel, R., and Gloaguen, R. (2018). Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District. Remote Sens., 10.","DOI":"10.3390\/rs10030385"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Sun, X., Chen, J., Bao, Y., Han, X., Zhan, J., and Peng, W. (2018). Landslide Susceptibility Mapping Using Logistic Regression Analysis along the Jinsha River and Its Tributaries Close to Derong and Deqin County, Southwestern China. ISPRS Int. J. Geo-Inf., 7.","DOI":"10.3390\/ijgi7110438"},{"key":"ref_12","unstructured":"Lazzari, M. (2020). Ray Remote Sensing Approaches and Related Techniques to Map and Study Landslides. Landslides, IntechOpen."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1007\/s10346-018-0978-0","article-title":"Multitemporal UAV surveys for landslide mapping and characterization","volume":"15","author":"Rossi","year":"2018","journal-title":"Landslides"},{"key":"ref_14","unstructured":"Niethammer, U., Rothmund, S., and Joswig, M. (2009, January 6\u20137). UAV-based remote sensing of the slow-moving landslide Super-Sauze. Proceedings of the International Conference on Landslide Processes: From Geomorpholgic Mapping to Dynamic Modelling, Strasbourg, France."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"03011","DOI":"10.1051\/e3sconf\/201912503011","article-title":"UAV Application for Landslide Mapping in Kuningan Regency, West Java","volume":"125","author":"Afif","year":"2019","journal-title":"E3S Web Conf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"895","DOI":"10.5194\/isprs-archives-XLI-B5-895-2016","article-title":"Accuracy assessment of a UAV-based landslide monitoring system","volume":"41","author":"Peppa","year":"2016","journal-title":"ISPRS-Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12518-015-0165-0","article-title":"UAV monitoring and documentation of a large landslide","volume":"8","author":"Lindner","year":"2016","journal-title":"Appl. Geomat."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/S0013-7952(01)00093-X","article-title":"Landslide risk assessment and management: An overview","volume":"64","author":"Dai","year":"2002","journal-title":"Eng. Geol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/j.cageo.2012.08.023","article-title":"A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS","volume":"51","author":"Pradhan","year":"2013","journal-title":"Comput. Geosci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.enggeo.2008.03.014","article-title":"Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning","volume":"102","author":"Fell","year":"2008","journal-title":"Eng. Geol."},{"key":"ref_21","unstructured":"Van Westen, C. (2016). National Scale Landslide Susceptibility Assessment for Saint Vincent. [Master's Thesis, University of Twente]."},{"key":"ref_22","first-page":"9","article-title":"Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain","volume":"2","author":"Barredo","year":"2000","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.geomorph.2014.07.026","article-title":"Landslide susceptibility mapping using geographically-weighted principal component analysis","volume":"226","author":"Sabokbar","year":"2014","journal-title":"Geomorphology"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"105","DOI":"10.7186\/bgsm67201913","article-title":"Integration of UAV photogrammetry and kinematic analysis for rock slope stability assessment","volume":"67","author":"Nagendran","year":"2019","journal-title":"Bull. Geol. Soc. Malays."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Kozmus Trajkovski, K., Grigillo, D., and Petrovi\u010d, D. (2020). Optimization of UAV Flight Missions in Steep Terrain. Remote Sens., 12.","DOI":"10.3390\/rs12081293"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1080\/22797254.2018.1444945","article-title":"Planning airborne photogrammetry and remote-sensing missions with modern platforms and sensors","volume":"51","author":"Pepe","year":"2018","journal-title":"Eur. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1080\/10095020.2017.1420508","article-title":"Low-altitude geophysical magnetic prospecting based on multirotor UAV as a promising replacement for traditional ground survey","volume":"21","author":"Parshin","year":"2018","journal-title":"Geo-Spat. Inf. Sci"},{"key":"ref_28","unstructured":"(2021, April 10). OCN Filter Improves Results Compared to RGN Filter. Available online: https:\/\/www.mapir.camera\/pages\/ocn-filter-improves-contrast-compared-to-rgn-filter."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Jim\u00e9nez-Jim\u00e9nez, S.I., Ojeda-Bustamante, W., Marcial-Pablo, M.D., and Enciso, J. (2021). Digital Terrain Models Generated with Low-Cost UAV Photogrammetry: Methodology and Accuracy. ISPRS Int. J. Geo-Inf., 10.","DOI":"10.3390\/ijgi10050285"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1007\/s10346-020-01485-5","article-title":"How robust are landslide susceptibility estimates?","volume":"18","author":"Ozturk","year":"2021","journal-title":"Landslides"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Nguyen, T.T.N., and Liu, C.-C. (2019). A new approach using AHP to generate landslide susceptibility maps in the Chen-Yu-Lan Watershed, Taiwan. Sensors, 19.","DOI":"10.3390\/s19030505"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Li, X., Cheng, J., Yu, D., and Han, Y. (2021, September 10). Research on Non-Landslide Selection Method for Landslide Hazard Mapping. Research Square, Available online: https:\/\/doi.org\/10.21203\/rs.3.rs-270737\/v1.","DOI":"10.21203\/rs.3.rs-270737\/v1"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1007\/s11069-013-0728-5","article-title":"Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances","volume":"69","author":"Pourghasemi","year":"2013","journal-title":"Nat. Hazards"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1023\/B:NHAZ.0000007097.42735.9e","article-title":"Use of geomorphological information in indirect landslide susceptibility assessment","volume":"30","author":"Rengers","year":"2003","journal-title":"Nat. Hazards"},{"key":"ref_35","first-page":"14","article-title":"Using Geographic Information System and Analytical Hierarchy Process in Landslide Hazard Zonation","volume":"1","author":"Bhatt","year":"2013","journal-title":"Sci. Educ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.cageo.2011.09.011","article-title":"Susceptibility assessment of earthquake-induced landslides using Bayesian network: A case study in Beichuan, China","volume":"42","author":"Song","year":"2012","journal-title":"Comput. Geosci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1007\/s10661-020-08330-1","article-title":"A comparative study of remote sensing classification methods for monitoring and assessing desert vegetation using a UAV-based multispectral sensor","volume":"192","author":"Abdullah","year":"2020","journal-title":"Environ. Monit. Assess."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"13","DOI":"10.3923\/ajes.2012.13.24","article-title":"Analytical hierarchy process method for mapping landslide susceptibility to an area along the EW highway (Gerik-Jeli), Malaysia","volume":"5","author":"Mezughi","year":"2012","journal-title":"Asian J. Earth Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1071\/SR14208","article-title":"Digital mapping of RUSLE slope length and steepness factor across New South Wales, Australia","volume":"53","author":"Yang","year":"2015","journal-title":"Soil Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"106850","DOI":"10.1016\/j.geomorph.2019.106850","article-title":"Comparing different multiple flow algorithms to calculate RUSLE factors of slope length (L) and slope steepness (S) in Switzerland","volume":"346","author":"Bircher","year":"2019","journal-title":"Geomorphology"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1127\/zfg_suppl\/2016\/0328","article-title":"Topographic Wetness Index and Terrain Ruggedness Index in geomorphic characterisation of landslide terrains, on examples from the Sudetes, SW Poland","volume":"61","author":"Michniewicz","year":"2017","journal-title":"Z. F\u00fcr Geomorphol. Suppl. Issues"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Saaty, T.L. (1980). The Analytical Hierarchy Process, McGraw-Hill.","DOI":"10.21236\/ADA214804"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/0022-2496(77)90033-5","article-title":"A scaling method for priorities in hierarchical structures","volume":"15","author":"Saaty","year":"1977","journal-title":"J. Math. Psychol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/18\/3629\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:00:58Z","timestamp":1760166058000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/18\/3629"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,11]]},"references-count":43,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2021,9]]}},"alternative-id":["rs13183629"],"URL":"https:\/\/doi.org\/10.3390\/rs13183629","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,11]]}}}