{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T10:42:45Z","timestamp":1778236965064,"version":"3.51.4"},"reference-count":66,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,12,25]],"date-time":"2018-12-25T00:00:00Z","timestamp":1545696000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"opening fund of the State Key Laboratory of Hydraulics and Mountain River Engineering","award":["SKHL1609"],"award-info":[{"award-number":["SKHL1609"]}]},{"name":"International partnership program of the Chinese Academy of Sciences","award":["131551KYSB20160002"],"award-info":[{"award-number":["131551KYSB20160002"]}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["T22-603\/15-N"],"award-info":[{"award-number":["T22-603\/15-N"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Debris flows in a burned area, post-fire debris flows, are considered as one of the most dangerous geo-hazards due to their high velocity, long run-out distance, and huge destruction to infrastructures. The rainfall threshold to trigger such hazards is often reduced compared with normal debris flow because ashes generated by mountain fires reduce the permeability of the top soil layer, thus increasing surface runoff. At the same time, burnt material and residual debris have very poor geo-mechanical characteristics, e.g., their internal friction angle and cohesion are typically low, and thus an intense rainfall can easily trigger some debris flows. Studying post-fire debris flow enables us to get a deeper understanding of disaster management. In this paper, the debris flow that occurred in Montecito, California, USA, and was affected by the Thomas Fire was used as a case study. Five major watersheds were extracted based on the digital elevation model (DEM). Remote sensing images were used to analyze the wildfire process, the extent of the burned areas, and the burn severity. The hypsometric integral (HI) and short-duration rainfall records of the watersheds around Montecito when the post-fire debris flows occurred were analyzed. Steep terrain, loose and abundant deposits, and sufficient water supply are the important conditions affecting the formation of debris flows. Taking watersheds as the research objects, HI was used to describe the geomorphic and topographic features, open-access rainfall data was used to represent the water supply, and burn severity represented the abundance of material sources. An occurrence probability model of post-fire debris flow based on HI, short-duration heavy rainfall, and burn severity was developed by using a logistic regression model in post-fire areas. By using this model, the occurrence probability of the post-fire debris flow in different watersheds around Montecito was analyzed based on the precipitation with time. Especially, the change characteristics of occurrence probability of debris flows over time based on the model bring a new perspective to observe the obvious change of the danger of post-fire debris flows and it is very useful for early warning of post-fire debris flows.<\/jats:p>","DOI":"10.3390\/ijgi8010005","type":"journal-article","created":{"date-parts":[[2018,12,26]],"date-time":"2018-12-26T04:29:54Z","timestamp":1545798594000},"page":"5","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Investigation of Post-Fire Debris Flows in Montecito"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9559-5988","authenticated-orcid":false,"given":"Yifei","family":"Cui","sequence":"first","affiliation":[{"name":"Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1992-242X","authenticated-orcid":false,"given":"Deqiang","family":"Cheng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dave","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,25]]},"reference":[{"key":"ref_1","first-page":"1","article-title":"Forest fire risk zone mapping from satellite imagery and GIS","volume":"4","author":"Jaiswal","year":"2002","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1038\/35106547","article-title":"Increased damage from fires in logged forests during droughts caused by El Nino","volume":"414","author":"Siegert","year":"2001","journal-title":"Nature"},{"key":"ref_3","first-page":"470","article-title":"Proceedings of the conference fire regimes and ecosystem properties, December 11\u201315, 1978, Honolulu","volume":"37","author":"Mooney","year":"1981","journal-title":"J. Chem. Eng. Data"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.geomorph.2007.03.019","article-title":"Storm rainfall conditions for floods and debris flows from recently burned areas in southwestern Colorado and southern California","volume":"96","author":"Cannon","year":"2008","journal-title":"Geomorphology"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"F4","DOI":"10.1029\/2011JF002005","article-title":"In situ measurements of post-fire debris flows in southern California: Comparisons of the timing and magnitude of 24 debris-flow events with rainfall and soil moisture conditions","volume":"116","author":"Kean","year":"2011","journal-title":"J. Geophys. Res. Earth Surf."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.geomorph.2007.02.022","article-title":"Sources of debris flow material in burned areas","volume":"96","author":"Santi","year":"2008","journal-title":"Geomorphology"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.geomorph.2015.06.031","article-title":"The role of large woody debris in modulating the dispersal of a post-fire sediment pulse","volume":"246","author":"Short","year":"2015","journal-title":"Geomorphology"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1007\/s10346-018-0969-1","article-title":"The characteristics of the Mocoa compound disaster event, Colombia","volume":"15","author":"Cheng","year":"2018","journal-title":"Landslides"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ciurleo, M., Mandaglio, M.C., and Moraci, N. (2018). Landslide susceptibility assessment by TRIGRS in a frequently affected shallow instability area. Landslides.","DOI":"10.1007\/s10346-018-1072-3"},{"key":"ref_10","unstructured":"Turner, A.K., and Schuster, R.L. (1996). Slope instability recognition, analysis and zonation. Landslides Investigation and Mitigation, National Academy Press. TRB Special Report 247."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.enggeo.2017.04.023","article-title":"A comparison of statistical and deterministic methods for shallow landslide susceptibility zoning in clayey soils","volume":"223","author":"Ciurleo","year":"2017","journal-title":"Eng. Geol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1007\/s10346-018-0947-7","article-title":"Shallow landslide susceptibility assessment in granitic rocks using GIS-based statistical methods: The contribution of the weathering grade map","volume":"15","author":"Borrelli","year":"2018","journal-title":"Landslides"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.enggeo.2008.03.022","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_14","unstructured":"Cannon, S.H., and Gartner, J.E. (2005). Wildfire-Related Debris Flow from a Hazards Perspective, Springer."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Cannon, S.H., Gartner, J.E., Rupert, M.G., Michael, J.A., Djokic, D., and Sreedhar, S. (2003). Emergency assessment of debris-flow hazards from basins burned by the grand prix and old fires of 2003. U.S. Geol. Surv., 45\u201359.","DOI":"10.3133\/ofr03475"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.geomorph.2007.02.033","article-title":"Empirical models to predict the volumes of debris flows generated by recently burned basins in the western U.S","volume":"96","author":"Gartner","year":"2008","journal-title":"Geomorphology"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1130\/B26459.1","article-title":"Predicting the probability and volume of postwildfire debris flows in the intermountain western united states","volume":"122","author":"Cannon","year":"2009","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1007\/s11069-015-1656-3","article-title":"Predicting locations of post-fire debris-flow erosion in the san Gabriel mountains of southern California","volume":"77","author":"Gartner","year":"2015","journal-title":"Natl. Hazards"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.1016\/j.envsoft.2011.07.014","article-title":"A data-driven approach for modeling post-fire debris-flow volumes and their uncertainty","volume":"26","author":"Friedel","year":"2011","journal-title":"Environ. Model. Softw."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/s11069-011-9747-2","article-title":"Rainfall intensity\u2013duration thresholds for postfire debris-flow emergency-response planning","volume":"59","author":"Cannon","year":"2011","journal-title":"Natl. Hazards"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1080\/13658810110053125","article-title":"Uncertainty and sensitivity analysis: Tools for GIS-based model implementation","volume":"15","author":"Crosetto","year":"2001","journal-title":"Int. J. Geogr. Inf. Syst."},{"key":"ref_22","first-page":"1984","article-title":"Sensitivity analysis of debris flow along highway based on geomorphic evolution theory","volume":"24","author":"Xiang","year":"2015","journal-title":"Resour. Environ. Yangtze Basin"},{"key":"ref_23","unstructured":"cnBeta.COM (2018, May 28). Debris Flow Began to Occur in California after the Mountain Fire Season in the United States. Available online: https:\/\/www.cnbeta.com\/articles\/tech\/687749.htm."},{"key":"ref_24","unstructured":"Schleuss, J., Smith, D., and Boxall, B. (2018, April 02). Tracking a Path of Destruction from Montecito\u2019s Mountains to the Ocean. Los Angeles Times. Available online: http:\/\/www.latimes.com\/local\/california\/la-me-san-ysidro-damage-20180112-htmlstory.html."},{"key":"ref_25","unstructured":"Hamilton, M., and Serna, J. (2018, April 02). Montecito Braced for Fire, But Mud Was a More Stealthy, Deadly Threat. Los Angeles Times. Available online: http:\/\/www.latimes.com\/local\/lanow\/la-me-montecito-mudslide-main-20180112-story.html."},{"key":"ref_26","unstructured":"Dolan, J. (2018, April 26). Search Teams Find 21st Victim of Montecito Mudslide. Los Angeles Times. Available online: http:\/\/www.latimes.com\/local\/lanow\/la-me-montecito-death-toll-20180121-story.html."},{"key":"ref_27","unstructured":"BBC News (2018, April 26). California: Thirteen Dead in Montecito Rains and Mudslides. Available online: http:\/\/www.bbc.com\/news\/world-us-canada-42624408."},{"key":"ref_28","unstructured":"Robert, D. The Economic Impacts of the Montecito Mudslides a Preliminary Assessment, Niehaus Inc.. Available online: http:\/\/www.rdniehaus.com\/rdn\/wp-content\/uploads\/2018\/03\/RDN_Montecito_Mudslides_Impacts-1.pdf."},{"key":"ref_29","unstructured":"Magnoli, G. (2018, May 28). County Estimates $46 Million Cost for Thomas Fire, Montecito Debris Flow Response, Repairs. Available online: https:\/\/www.noozhawk.com\/article\/county_estimates_46m_cost_thomas_fire_montecito_debris_flow_response."},{"key":"ref_30","unstructured":"U.S. Coast Guard (2018, November 19). Santa Barbara County Neighborhood Affected Mudslides\u201409 Jan 2018. Available online: https:\/\/commons.wikimedia.org\/wiki\/File:Santa_barbara_county_neighborhood_affected_mudslides_-_09_Jan_2018.jpg."},{"key":"ref_31","unstructured":"Wiley, J. (2018, November 19). SY Ranch & Casa de Maria Debris Flow 180111-04783. Available online: https:\/\/commons.wikimedia.org\/wiki\/File:SY_Ranch_%26_Casa_de_Maria_Debris_Flow_180111-04783.jpg."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2014.02.001","article-title":"Landsat-8: Science and product vision for terrestrial global change research","volume":"145","author":"Roy","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/S0034-4257(01)00263-2","article-title":"Landsat 7\u2019s long-term acquisition plan\u2014An innovative approach to building a global imagery archive","volume":"78","author":"Arvidson","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_34","first-page":"170","article-title":"Sentinel-2A red-edge spectral indices suitability for discriminating burn severity","volume":"50","author":"Quintano","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"883","DOI":"10.3390\/rs8110883","article-title":"Sentinel-2A MSI and Landsat 8 OLI provide data continuity for geological remote sensing","volume":"8","author":"Harald","year":"2016","journal-title":"Remote Sens."},{"key":"ref_36","first-page":"991","article-title":"Landslide hazard evaluation of Wanzhou based on GIS information value method in the three gorges reservoir","volume":"25","author":"Gao","year":"2006","journal-title":"Chin. J. Rock Mech. Eng."},{"key":"ref_37","first-page":"793","article-title":"Change in glaciers and glacier lakes in Boiqu River basin, middle Himalayas during last 15 years","volume":"27","author":"Chen","year":"2005","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_38","unstructured":"World Weather Online (2018, May 28). Santa Barbara Historical Weather. Available online: https:\/\/www.worldweatheronline.com\/santa-barbara-weather-history\/california\/us.aspx."},{"key":"ref_39","unstructured":"(2018, April 27). Monitoring Forest Fire Points Using SWIR and LWIR Band of Landsat 8 Data. Available online: http:\/\/blog.sina.com.cn\/s\/blog_764b1e9d0102vnxr.html."},{"key":"ref_40","first-page":"223","article-title":"Comparison of radiation characteristics of forest fire and background in short wave infrared absorption bands","volume":"9","author":"Jiang","year":"2014","journal-title":"J. Atmos. Environ. Opt."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1071\/WF09069","article-title":"Evaluating landsat thematic mapper spectral indices for estimating burn severity of the 2007 Peloponnese wildfires in Greece","volume":"19","author":"Veraverbeke","year":"2010","journal-title":"Int. J. Wildland Fire"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1071\/WF05097","article-title":"Remote sensing techniques to assess active fire characteristics and post-fire effects","volume":"15","author":"Lentile","year":"2006","journal-title":"Int. J. Wildland Fire"},{"key":"ref_43","unstructured":"Norton, J.M. (2018, October 30). The Use of Remote Sensing Indices to Determine Wildland Burn Severity in Semiarid Sagebrush Steppe Rangelands Using Landsat ETM+ and SPOT 5. Available online: http:\/\/giscenter.isu.edu\/research\/techpg\/nasa_tlcc\/PDF\/Ch6.pdf."},{"key":"ref_44","unstructured":"Karl, J. (2018, October 30). Normalized Burn Ratio. Available online: http:\/\/wiki.landscapetoolbox.org\/doku.php\/remote_sensing_methods:normalized_burn_ratio."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1080\/02723646.2016.1169477","article-title":"Dynamic process-based risk assessment of debris flow on a local scale","volume":"37","author":"Zou","year":"2016","journal-title":"Phys. Geogr."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1007\/s12665-011-0949-4","article-title":"Post-earthquake changes and prediction of debris flow scales in Subao river valley, Beichuan county, Sichuan province, China","volume":"65","author":"Chen","year":"2012","journal-title":"Environ. Earth Sci."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Choi, C., Cui, Y., Au, K., Liu, H., Wang, J., Liu, D., and Wang, H. (2018). Case study: Effects of a partial-debris dam on riverbank erosion in the Parlung Tsangpo river, China. Water, 10.","DOI":"10.3390\/w10030250"},{"key":"ref_48","first-page":"1593","article-title":"Extracting topographic structure from digital elevation data for geographic information-system analysis","volume":"54","author":"Jenson","year":"1988","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/S0734-189X(84)80011-0","article-title":"The extraction of drainage networks from digital elevation data","volume":"28","author":"Mark","year":"1984","journal-title":"Comput. Vis. Graph. Image Process."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1130\/0016-7606(1952)63[1117:HAAOET]2.0.CO;2","article-title":"Hypsometric (area-altitude) analysis of erosional topography","volume":"63","author":"Strahler","year":"1952","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1130\/0016-7606(1971)82[1079:ERHIAG]2.0.CO;2","article-title":"Elevation-relief ratio, hypsometric integral, and geomorphic area-altitude analysis","volume":"82","author":"Pike","year":"1971","journal-title":"Geol. Soc. Am. Bull."},{"key":"ref_52","first-page":"171","article-title":"Comparison of hypsometric integral methods","volume":"29","author":"Chang","year":"2015","journal-title":"J. Arid Land Resour. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.enggeo.2005.02.002","article-title":"Landslide susceptibility mapping: A comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey)","volume":"79","author":"Yesilnacar","year":"2005","journal-title":"Eng. Geol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1007\/s12665-009-0394-9","article-title":"Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: Conditional probability, logistic regression, artificial neural networks, and support vector machine","volume":"61","author":"Yilmaz","year":"2010","journal-title":"Environ. Earth Sci."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Trigila, A., Frattini, P., Casagli, N., Catani, F., Crosta, G., Esposito, C., Lagomarsino, D., Mugnozza, G.S., Segoni, S., and Spizzichino, D. (2013). Landslide susceptibility mapping at national scale: The Italian case study. Landslide Science and Practice, Springer.","DOI":"10.1007\/978-3-642-31325-7_38"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1080\/01431160412331331012","article-title":"Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data","volume":"26","author":"Lee","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1007\/s10346-007-0088-x","article-title":"Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: Case study of Youngin, Korea","volume":"4","author":"Lee","year":"2007","journal-title":"Landslides"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1080\/13658816.2012.693614","article-title":"GIS techniques for regional-scale landslide susceptibility assessment: The Sicily (Italy) case study","volume":"27","author":"Manzo","year":"2013","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1007\/s10346-011-0299-z","article-title":"Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data","volume":"9","author":"Jaedicke","year":"2012","journal-title":"Landslides"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1093\/biomet\/54.1-2.167","article-title":"Estimation of the probability of an event as a function of several independent variables","volume":"54","author":"Seal","year":"1967","journal-title":"Biometrika"},{"key":"ref_61","first-page":"326","article-title":"Logistic regression model and its validation for hazard mapping of landslides triggered by Yushu earthquake","volume":"20","author":"Xu","year":"2012","journal-title":"J. Eng. Geol."},{"key":"ref_62","unstructured":"USGS (2018, May 28). Global Data Explore, Available online: https:\/\/gdex.cr.usgs.gov\/gdex\/."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1007\/s11269-008-9242-z","article-title":"Hypsometric integral estimation methods and its relevance on erosion status of north-western lesser Himalayan watersheds","volume":"22","author":"Singh","year":"2008","journal-title":"Water Resour. Manag."},{"key":"ref_64","unstructured":"USGS (2018, June 21). Post-Fire Flooding and Debris Flow, Available online: https:\/\/ca.water.usgs.gov\/wildfires\/wildfires-debris-flow.html."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10346-016-0708-4","article-title":"A novel fuzzy K-nearest neighbor inference model with differential evolution for spatial prediction of rainfall-induced shallow landslides in a tropical hilly area using GIS","volume":"14","author":"Bui","year":"2017","journal-title":"Landslides"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"569","DOI":"10.5194\/nhess-14-569-2014","article-title":"Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d\u2019Auge plateau hillslopes (Normandy, France)","volume":"14","author":"Fressard","year":"2014","journal-title":"Natl. Hazards Earth Syst. Sci."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/8\/1\/5\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:36:06Z","timestamp":1760196966000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/8\/1\/5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,25]]},"references-count":66,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,1]]}},"alternative-id":["ijgi8010005"],"URL":"https:\/\/doi.org\/10.3390\/ijgi8010005","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,25]]}}}