GIS-assisted classification of litho-geomorphological units using Maximum Likelihood Classification, Vipava Valley, SW Slovenia
In the Vipava Valley (SW Slovenia), various types of mass movements occur in a geologically and geomorphologically diverse setting. These comprise various types of landslides, creep, and Quaternary slope deposits of carbonate blocks and recent scree deposits. A general geological setting is represen...
Saved in:
Published in | Landslides Vol. 15; no. 7; pp. 1415 - 1424 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.07.2018
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | In the Vipava Valley (SW Slovenia), various types of mass movements occur in a geologically and geomorphologically diverse setting. These comprise various types of landslides, creep, and Quaternary slope deposits of carbonate blocks and recent scree deposits. A general geological setting is represented as Mesozoic carbonate overthrust on Paleogene flysch (alternations of mostly sandstones and marlstones), resulting in steep slopes and mass movements. Our study is based on the automatic classification of various litho-geomorphological units including slope deposits, alluvial deposits, steep carbonate cliffs, flysch, two carbonate plateaus, and Quaternary deposits, based on supervised Maximum Likelihood Classification. Several polygons were used for training in the broader valley area, and later, the method was applied to automatically classify the complete area into the abovementioned six units. For input layers, we used data for elevation, slope, terrain ruggedness index (TRI), and curvature. Results show that generally, the method is suitable for classification of the litho-geomorphological units including slope deposits. However, comparison with a more detailed map, comprising mapped various mass movements indicated that the method correctly predicts high Trnovo plateau carbonates, steep carbonate slopes, translational carbonate blocks, and fossil rock avalanche deposits, and alluvial deposits, but is not able to clearly distinguish between flysch and more recent slope deposits of gravel and breccia due to their similar elevation, TRI, and slope values. The Slano blato mudflow and Stogovce landslide are not recognized. Therefore, this automatic classification can be carefully used to create a guidance map of general occurrences of litho-geomorphological units including slope deposits before going to the field, with the aim of delineation of slope deposits so they can be further studied in detail later in the field. However, such a map cannot be used as a direct substitute map for the geological and geomorphological map obtained in the field due to impossibility in distinguishing among the units with the same properties (elevation, slope, and TRI values). |
---|---|
AbstractList | In the Vipava Valley (SW Slovenia), various types of mass movements occur in a geologically and geomorphologically diverse setting. These comprise various types of landslides, creep, and Quaternary slope deposits of carbonate blocks and recent scree deposits. A general geological setting is represented as Mesozoic carbonate overthrust on Paleogene flysch (alternations of mostly sandstones and marlstones), resulting in steep slopes and mass movements. Our study is based on the automatic classification of various litho-geomorphological units including slope deposits, alluvial deposits, steep carbonate cliffs, flysch, two carbonate plateaus, and Quaternary deposits, based on supervised Maximum Likelihood Classification. Several polygons were used for training in the broader valley area, and later, the method was applied to automatically classify the complete area into the abovementioned six units. For input layers, we used data for elevation, slope, terrain ruggedness index (TRI), and curvature. Results show that generally, the method is suitable for classification of the litho-geomorphological units including slope deposits. However, comparison with a more detailed map, comprising mapped various mass movements indicated that the method correctly predicts high Trnovo plateau carbonates, steep carbonate slopes, translational carbonate blocks, and fossil rock avalanche deposits, and alluvial deposits, but is not able to clearly distinguish between flysch and more recent slope deposits of gravel and breccia due to their similar elevation, TRI, and slope values. The Slano blato mudflow and Stogovce landslide are not recognized. Therefore, this automatic classification can be carefully used to create a guidance map of general occurrences of litho-geomorphological units including slope deposits before going to the field, with the aim of delineation of slope deposits so they can be further studied in detail later in the field. However, such a map cannot be used as a direct substitute map for the geological and geomorphological map obtained in the field due to impossibility in distinguishing among the units with the same properties (elevation, slope, and TRI values). |
Author | Popit, Tomislav Verbovšek, Timotej |
Author_xml | – sequence: 1 givenname: Timotej orcidid: 0000-0002-1908-5759 surname: Verbovšek fullname: Verbovšek, Timotej email: timotej.verbovsek@ntf.uni-lj.si organization: Faculty of Natural Sciences and Engineering, Department of Geology, University of Ljubljana – sequence: 2 givenname: Tomislav surname: Popit fullname: Popit, Tomislav organization: Faculty of Natural Sciences and Engineering, Department of Geology, University of Ljubljana |
BookMark | eNp1UM9LwzAYDaLgNv0DvAW8Lpqvabv0KEPnYOJhOr2FtE27zLSZSTvcyX_djoriwdP3Ht_7AW-IjmtbK4QugF4BpZNrD5SFMaHAScdDEhyhAcQQkAiAH_9g-nqKht5vKA0SypIB-pzNl0R6r32jcpyZAyx0Jhtta2wLbHSztqRUtrJuu7bGlt3T4LbWjcet13WJH-SHrtoKL_SbMnptbY6nf3LGeKW3cifxShqj9mO8fMFLY3eq1vIMnRTSeHX-fUfo-e72aXpPFo-z-fRmQSRjSUMgLGJGw4JJnqZZkqYqo3lcgFISYp7kCYtpGgOPcpCQQ8jijOeSZxKKIKIhsBG67HO3zr63yjdiY1tXd5UioCyCSTLhYaeCXpU5671Thdg6XUm3F0DFYWfR7yy6nQ88FEHnCXqP77R1qdxv8v-mL-C4hAY |
CitedBy_id | crossref_primary_10_3390_land10070731 crossref_primary_10_3390_rs11242946 crossref_primary_10_1016_j_geogeo_2022_100163 crossref_primary_10_1088_1755_1315_1089_1_012021 crossref_primary_10_3390_rs15020531 crossref_primary_10_1007_s12524_023_01702_3 crossref_primary_10_3390_rs16010091 crossref_primary_10_3390_app14072771 crossref_primary_10_1016_j_geomorph_2020_107242 crossref_primary_10_3390_rs14092016 |
Cites_doi | 10.5474/geologija.2006.022 10.5474/geologija.2002.043 10.5194/nhess-5-447-2005 10.1007/978-3-319-04999-1_16 10.1016/j.rse.2014.07.004 10.1080/01431161.2013.853144 10.1080/01431161.2014.915438 10.3986/AGS.4851 10.1007/s10346-017-0848-1 10.1007/s10346-017-0815-x 10.15292/geodetski-vestnik.2016.02.227-240 10.1007/978-3-319-53487-9_35 10.1080/01431161.2012.705443 10.1016/j.geomorph.2009.10.004 10.1007/978-3-319-53483-1_50 10.1080/13658816.2012.693614 10.1016/j.cageo.2008.08.007 10.1016/j.earscirev.2012.02.001 10.1080/17445647.2016.1215941 10.1016/j.geomorph.2013.09.010 10.1007/s10346-011-0270-z 10.1080/01431161.2014.890760 10.1007/978-3-319-53485-5_66 10.5474/geologija.2008.023 10.5194/isprs-archives-XLII-1-W1-83-2017 10.1007/s10346-009-0171-6 10.1016/j.geomorph.2012.05.024 10.1007/s10346-013-0391-7 10.1016/j.rse.2011.03.006 10.1080/01431160701227661 10.1016/j.enggeo.2009.01.006 10.5474/geologija.2017.021 |
ContentType | Journal Article |
Copyright | Springer-Verlag GmbH Germany, part of Springer Nature 2018 Landslides is a copyright of Springer, (2018). All Rights Reserved. |
Copyright_xml | – notice: Springer-Verlag GmbH Germany, part of Springer Nature 2018 – notice: Landslides is a copyright of Springer, (2018). All Rights Reserved. |
DBID | AAYXX CITATION 3V. 7TG 7UA 7XB 88I 8FD 8FE 8FG 8FK ABJCF ABUWG AFKRA ATCPS AZQEC BENPR BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F1W FR3 GNUQQ H96 HCIFZ KL. KR7 L.G L6V M2P M7S PATMY PCBAR PQEST PQQKQ PQUKI PRINS PTHSS PYCSY Q9U |
DOI | 10.1007/s10346-018-1004-2 |
DatabaseName | CrossRef ProQuest Central (Corporate) Meteorological & Geoastrophysical Abstracts Water Resources Abstracts ProQuest Central (purchase pre-March 2016) Science Database (Alumni Edition) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni Edition) ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials ProQuest Central Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central Korea ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database ProQuest Central Student Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources SciTech Premium Collection Meteorological & Geoastrophysical Abstracts - Academic Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Engineering Collection Science Database Engineering Database Environmental Science Database Earth, Atmospheric & Aquatic Science Database ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection ProQuest Central Basic |
DatabaseTitle | CrossRef Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Central Student Technology Collection Technology Research Database ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China Water Resources Abstracts Environmental Sciences and Pollution Management ProQuest Central Earth, Atmospheric & Aquatic Science Collection ProQuest Engineering Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection Engineering Collection Civil Engineering Abstracts Engineering Database ProQuest Science Journals (Alumni Edition) ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection ProQuest SciTech Collection Environmental Science Collection Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources ProQuest One Academic UKI Edition ASFA: Aquatic Sciences and Fisheries Abstracts Materials Science & Engineering Collection Environmental Science Database Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest Central (Alumni) |
DatabaseTitleList | Aquatic Science & Fisheries Abstracts (ASFA) Professional |
Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Geography Geology Agriculture |
EISSN | 1612-5118 |
EndPage | 1424 |
ExternalDocumentID | 10_1007_s10346_018_1004_2 |
GeographicLocations | Slovenia |
GeographicLocations_xml | – name: Slovenia |
GrantInformation_xml | – fundername: Javna Agencija za Raziskovalno Dejavnost RS grantid: P1-0195 funderid: http://dx.doi.org/10.13039/501100004329 |
GroupedDBID | -5A -5G -BR -EM -Y2 -~C .86 .VR 06D 0R~ 0VY 1N0 203 29L 2J2 2JN 2JY 2KG 2LR 2P1 2VQ 2~H 30V 3V. 4.4 406 408 409 40D 40E 5GY 5VS 67M 67Z 6KP 6NX 7XC 88I 8CJ 8FE 8FG 8FH 8TC 95- 95. 95~ 96X AAAVM AABHQ AAFGU AAHNG AAIAL AAJKR AANZL AARHV AARTL AATNV AATVU AAUYE AAWCG AAYFA AAYIU AAYQN AAYTO ABBBX ABBXA ABDBF ABDZT ABECU ABFGW ABFTV ABHFT ABHLI ABHQN ABJCF ABJNI ABJOX ABKAS ABKCH ABKTR ABMNI ABMQK ABNWP ABPTK ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACBMV ACBRV ACBXY ACBYP ACGFO ACGFS ACGOD ACHSB ACHXU ACIGE ACIHN ACIPQ ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACREN ACSNA ACTTH ACVWB ACWMK ADHHG ADHIR ADINQ ADKNI ADKPE ADMDM ADOXG ADRFC ADTPH ADURQ ADYFF ADYOE ADZKW AEAQA AEBTG AEFTE AEGAL AEGNC AEJHL AEJRE AEKMD AENEX AEOHA AEPYU AESKC AESTI AETLH AEVLU AEVTX AEXYK AFGCZ AFKRA AFLOW AFNRJ AFQWF AFRAH AFWTZ AFYQB AFZKB AGAYW AGDGC AGGBP AGJBK AGMZJ AGQMX AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIIXL AILAN AIMYW AITGF AJBLW AJDOV AJRNO AJZVZ AKQUC ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMTXH AMXSW AMYLF AMYQR AOCGG ARMRJ ASPBG ATCPS AVWKF AXYYD AYJHY AZFZN AZQEC B-. BA0 BDATZ BENPR BGLVJ BGNMA BHPHI BKSAR BPHCQ CAG CCPQU COF CS3 CSCUP D1J D1K DDRTE DL5 DNIVK DPUIP DWQXO EBLON EBS EIOEI EJD ESBYG ESX FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 GQ8 GXS HCIFZ HF~ HG5 HG6 HLICF HMJXF HQYDN HRMNR HVGLF HZ~ I-F I09 IHE IJ- IKXTQ IWAJR IXC IXD IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K6- KDC KOV L6V L8X LAS LK5 LLZTM LMP M2P M4Y M7R M7S MA- N2Q NB0 NPVJJ NQJWS NU0 O9- O93 O9J OAM P2P PATMY PCBAR PF0 PQQKQ PROAC PT4 PTHSS PYCSY Q2X QOS R89 R9I RIG ROL RPX RSV S16 S1Z S27 S3B SAP SDH SEV SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSK TSV TUC TUS U2A UG4 UNUBA UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z5O Z7R Z7Y Z7Z Z83 ZMTXR ~02 ~A9 ~KM AACDK AAJBT AASML AAYXX ABAKF ACAOD ACDTI ACZOJ AEFQL AEMSY AFBBN AGQEE AGRTI AIGIU CITATION H13 7TG 7UA 7XB 8FD 8FK C1K F1W FR3 H96 KL. KR7 L.G PQEST PQUKI PRINS Q9U |
ID | FETCH-LOGICAL-a339t-14f6304f3a8bbc9bbec0d6f1eea1689d9360b6185d1a1d1436c8da8ca1f250413 |
IEDL.DBID | 8FG |
ISSN | 1612-510X |
IngestDate | Fri Sep 13 02:48:36 EDT 2024 Thu Sep 12 17:48:33 EDT 2024 Sat Dec 16 12:02:56 EST 2023 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 7 |
Keywords | GIS Vipava Valley Litho-geomorphological units Maximum Likelihood Classification Mapping Slovenia Slope deposits |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-a339t-14f6304f3a8bbc9bbec0d6f1eea1689d9360b6185d1a1d1436c8da8ca1f250413 |
ORCID | 0000-0002-1908-5759 |
PQID | 2035179784 |
PQPubID | 54509 |
PageCount | 10 |
ParticipantIDs | proquest_journals_2035179784 crossref_primary_10_1007_s10346_018_1004_2 springer_journals_10_1007_s10346_018_1004_2 |
PublicationCentury | 2000 |
PublicationDate | 2018-07-01 |
PublicationDateYYYYMMDD | 2018-07-01 |
PublicationDate_xml | – month: 07 year: 2018 text: 2018-07-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Berlin/Heidelberg |
PublicationPlace_xml | – name: Berlin/Heidelberg – name: Dordrecht |
PublicationSubtitle | Journal of the International Consortium on Landslides |
PublicationTitle | Landslides |
PublicationTitleAbbrev | Landslides |
PublicationYear | 2018 |
Publisher | Springer Berlin Heidelberg Springer Nature B.V |
Publisher_xml | – name: Springer Berlin Heidelberg – name: Springer Nature B.V |
References | Buser S (1973) Basic geological map of SFR Yugoslavia 1:100.000, Sheet Gorica L 33–78. Federal Geological Survey, Belgrade GuzzettiFMondiniACCardinaliMFiorucciFSantangeloMChangK-TLandslide inventory maps: new tools for an old problemEarth Sci Rev20121121426610.1016/j.earscirev.2012.02.001 DengSShiWSemi-automatic approach for identifying locations of shallow debris slides/flows based on lidar-derived morphological featuresInt J Remote Sens201435103741376310.1080/01431161.2014.915438 Fifer BizjakKZupančič-ValantASite and laboratory investigation of the Slano blato landslideEng Geol20091053–417118510.1016/j.enggeo.2009.01.006 Kocjančič M, Popit T, Verbovšek T (2018; in press) Gravitational sliding of the carbonate megablocks in the Vipava Valley, SW Slovenia. Acta Geographica Slovenica. https://doi.org/10.3986/AGS.4851 KomacMRibičičMLandslide susceptibility map of Slovenia at scale 1 : 250,000Geologija200649229530910.5474/geologija.2006.022 YilmazILandslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat—Turkey)Comput Geosci20093561125113810.1016/j.cageo.2008.08.007 Baeza C, Corominas J (1996) Assessment of shallow landslide susceptibility by means of statistical techniques. In: Balkema AA (ed) Proceedings of the seventh international symposium on landslides. Vol. 1, June 17–21, pp 147–152. Trondheim, Norway MarthaTKerleNJettenVWestenCJKumarKVCharacterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methodsGeomorphology2010116243610.1016/j.geomorph.2009.10.004 Pawłuszek K, Borkowski A (2017) Automatic landslides mapping in the principal component domain. 4th World Landslide Forum proceedings by Springer Nature publishing, SW Slovenia. In: Mikoš M, Vilímek V, Yin Y, Sassa K (eds) Advancing culture of living with landslides. Vol 5: volume 5 landslides in different environments. pp 412–428. https://doi.org/10.1007/978-3-319-53483-1_50 ChengGGuoLZhaoTYHanJWLiHHFangJAutomatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSAInt J Remote Sens201334455910.1080/01431161.2012.705443 PetkovšekAFazarincRKočevarMMačekMMajesBMikošMThe Stogovce landslide in SW Slovenia triggered during the September 2010 extreme rainfall eventLandslides2011849950610.1007/s10346-011-0270-z Jemec AufličMJežJPopitTKoširAMačekMLogarJPetkovšekAMikošMCalligarisCBoccaliCZiniLReitnerJVerbovšekTThe variety of landslide forms in Slovenia and its immediate NW surroundingsLandslides20171441537154610.1007/s10346-017-0848-1 Mikoš M, Sodnik J, Petkovšek A, Maček M, Majes B (2014) WCoE: mechanisms of landslides in over-consolidated clays and flysch and IPL-151 project: soil matrix suction in active landslides in flysch—the Slano blato Landslide Case. In: Sassa K, Canuti P and Yin Y (eds) Landslide science for a safer geoenvironment, Springer Netherlands, Dordrecht, pp 143–148. https://doi.org/10.1007/978-3-319-04999-1_16 MondiniACGuzzettiFReichenbachPRossiMCardinaliMArdizzoneFSemi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite imagesRemote Sens Environ20111151743175710.1016/j.rse.2011.03.006 PopitTSuperBKokaljŽVerbovšekTComparison of methods for geomorphometric analyzes of surface roughness in the Vipava ValleyGeodetski Vestnik20166022724010.15292/geodetski-vestnik.2016.02.227-240 PopitTVerbovšekTAnalysis of surface roughness in the Sveta Magdalena paleo-landslide in the Rebrnice areaRMZ-Mater Geoenviron201360197204 Buser S, Grad K, Pleničar M (1967) Basic geological map of SFR Yugoslavia 1:100.000, Sheet Postojna L 33–77. Federal Geological Survey, Belgrade Popit T, Jež J, Verbovšek T (2017) Mass movement processes of Quaternary deposits in the Vipava Valley, SW Slovenia. In: Mikoš M. et al. (eds) Advancing culture of living with landslides. Vol. 4, Diversity of landslide forms. Cham: Springer. Cop. pp 571–580, https://doi.org/10.1007/978-3-319-53485-5_66 PlacerLJežJAtanackovJStructural aspect of the Slano blato landslide (Slovenia)Geologija20085122923410.5474/geologija.2008.023 VerbovšekTKoširATeranMZajcMPopitTVolume determination of the Selo landslide complex (SW Slovenia): integrating field mapping, ground penetrating radar and GIS approachesLandslides20171431265127410.1007/s10346-017-0815-x ESRI Inc (2007) Working with ArcGIS spatial analyst. ESRI Educational Services KavzogluTSahinEKColkesenILandslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regressionLandslides201411342543910.1007/s10346-013-0391-7 ParkNWChiKHQuantitative assessment of landslide susceptibility using high-resolution remote sensing data and a generalized additive modelInt J Remote Sens200829124726410.1080/01431160701227661 PopitTRožičBŠmucAKokaljŽVerbovšekTKoširAA lidar, GIS and basic spatial statistic application for the study of ravine and palaeo-ravine evolution in the upper Vipava Valley, SW SloveniaGeomorphology201420463864510.1016/j.geomorph.2013.09.010 Pawłuszek K, Borkowski A, Tarolli P (2017) Towards the optimal pixel size of DEM for automatic mapping of landslide areas. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-1/W1, ISPRS Hannover Workshop. https://doi.org/10.5194/isprs-archives-XLII-1-W1-83-2017 PlacerLGeologic structure of south-western SloveniaGeologija19812412760 YangSLiYFengGZhangLA method aimed at automatic landslide extraction based on background values of satellite imageryInt J Remote Sens201435622472266 PopitTOrgin of planation surfaces in the hinterland of Šumljak sedimentary bodies in Rebrnice (Upper Vipava Valley, SW Slovenia)Geologija201760229730710.5474/geologija.2017.021 MikošMPetkovšekAMajesBMechanisms of landslides in over-consolidated clays and flysch. Activity scale and targeted region: nationalLandslides20096436737110.1007/s10346-009-0171-6 Van Den EeckhautMKerleNPoesenJHervásJObject-oriented identification of forested landslides with derivatives of single pulse LiDAR dataGeomorphology2012173–174304210.1016/j.geomorph.2012.05.024 ChenWLiXWangYChenGLiuSForested landslide detection using LiDAR data and the random forest algorithm: a case study of the Three Gorges, ChinaRemote Sens Environ201415229130110.1016/j.rse.2014.07.004 KočevarMRibičičMGeological, hydrogeological and geomechanical investigation of Slano blato landslideGeologija200245242743210.5474/geologija.2002.043 LogarJBizjakKFKočevarMMikošMRibičičMMajesBHistory and present state of the Slano blato landslideNat Hazard Earth Syst2005544745710.5194/nhess-5-447-2005 JurkovšekBBiolchiSFurlaniSKolar-JurkovšekTZiniLJežJTunisGBavecMCucchiFGeology of the classical karst region (SW Slovenia–NE Italy)J Maps20131235236210.1080/17445647.2016.1215941 ManzoGTofaniVSegoniSBattistiniACataniFGIS techniques for regional-scale landslide susceptibility assessment: the Sicily (Italy) case studyInt J Geogr Inf Sci20132771433145210.1080/13658816.2012.693614 Popit T, Košir A, Šmuc A (2013) Sedimentological characteristics of Quarternary deposits of the Rebrnice slope area (SW Slovenia). In: Knjiga sažetka: 3. Znanstveni skup Geologija kvartara u Hrvatskoj s međunarodnim sudjelovanjem, Zagreb Popit T, Rožič B, Verbovšek T (2016b) Geomorphometric characteristic of selected fossil landslides in the Vipava valley, SW Slovenia. In: Conference 2016, 7th to 9th December 2016, Arup, London. Abstract book: the future of geological remote sensing: innovation and challenges. London: Geological Remote Sensing Group, pp 41 RileySJDeGloriaSDElliotRA terrain ruggedness index that quantifies topographic heterogeneityInt J Sci199951–42327 Goodarzi MehrSAhadnejadVAbbaspourRAHamzehMUsing the mixture-tuned matched filtering method for lithological mapping with Landsat TM5 imagesInt J Remote Sens201334248803881610.1080/01431161.2013.853144 Verbovšek T, Kočevar M, Benko I, Maček M, Petkovšek A (2017a) Monitoring of the Stogovce landslide slope movements with GEASENSE GNSS probes. 4th World Landslide Forum proceedings by Springer Nature publishing, SW Slovenia. In: Mikoš M, Arbanas Ž, Yin Y, Sassa K (eds) Advancing culture of living with landslides. Vol 3: advances in landslide technology, pp 311–319. https://doi.org/10.1007/978-3-319-53487-9_35 M Jemec Auflič (1004_CR11) 2017; 14 AC Mondini (1004_CR22) 2011; 115 A Petkovšek (1004_CR26) 2011; 8 T Popit (1004_CR30) 2013; 60 J Logar (1004_CR17) 2005; 5 I Yilmaz (1004_CR41) 2009; 35 T Martha (1004_CR19) 2010; 116 M Mikoš (1004_CR20) 2009; 6 S Yang (1004_CR40) 2014; 35 S Goodarzi Mehr (1004_CR9) 2013; 34 M Komac (1004_CR16) 2006; 49 M Eeckhaut Van Den (1004_CR37) 2012; 173–174 T Popit (1004_CR33) 2016; 60 1004_CR21 1004_CR25 1004_CR24 L Placer (1004_CR28) 2008; 51 NW Park (1004_CR23) 2008; 29 1004_CR38 L Placer (1004_CR27) 1981; 24 T Popit (1004_CR29) 2017; 60 S Deng (1004_CR6) 2014; 35 T Verbovšek (1004_CR39) 2017; 14 W Chen (1004_CR4) 2014; 152 G Cheng (1004_CR5) 2013; 34 M Kočevar (1004_CR14) 2002; 45 1004_CR1 1004_CR2 G Manzo (1004_CR18) 2013; 27 T Popit (1004_CR32) 2014; 204 F Guzzetti (1004_CR10) 2012; 112 SJ Riley (1004_CR36) 1999; 5 K Fifer Bizjak (1004_CR8) 2009; 105 1004_CR7 1004_CR31 1004_CR15 1004_CR3 T Kavzoglu (1004_CR13) 2014; 11 1004_CR35 B Jurkovšek (1004_CR12) 2013; 12 1004_CR34 |
References_xml | – ident: 1004_CR2 – volume: 5 start-page: 23 issue: 1–4 year: 1999 ident: 1004_CR36 publication-title: Int J Sci contributor: fullname: SJ Riley – volume: 49 start-page: 295 issue: 2 year: 2006 ident: 1004_CR16 publication-title: Geologija doi: 10.5474/geologija.2006.022 contributor: fullname: M Komac – volume: 45 start-page: 427 issue: 2 year: 2002 ident: 1004_CR14 publication-title: Geologija doi: 10.5474/geologija.2002.043 contributor: fullname: M Kočevar – volume: 5 start-page: 447 year: 2005 ident: 1004_CR17 publication-title: Nat Hazard Earth Syst doi: 10.5194/nhess-5-447-2005 contributor: fullname: J Logar – ident: 1004_CR21 doi: 10.1007/978-3-319-04999-1_16 – volume: 152 start-page: 291 year: 2014 ident: 1004_CR4 publication-title: Remote Sens Environ doi: 10.1016/j.rse.2014.07.004 contributor: fullname: W Chen – volume: 34 start-page: 8803 issue: 24 year: 2013 ident: 1004_CR9 publication-title: Int J Remote Sens doi: 10.1080/01431161.2013.853144 contributor: fullname: S Goodarzi Mehr – volume: 35 start-page: 3741 issue: 10 year: 2014 ident: 1004_CR6 publication-title: Int J Remote Sens doi: 10.1080/01431161.2014.915438 contributor: fullname: S Deng – ident: 1004_CR15 doi: 10.3986/AGS.4851 – volume: 14 start-page: 1537 issue: 4 year: 2017 ident: 1004_CR11 publication-title: Landslides doi: 10.1007/s10346-017-0848-1 contributor: fullname: M Jemec Auflič – volume: 14 start-page: 1265 issue: 3 year: 2017 ident: 1004_CR39 publication-title: Landslides doi: 10.1007/s10346-017-0815-x contributor: fullname: T Verbovšek – volume: 60 start-page: 227 year: 2016 ident: 1004_CR33 publication-title: Geodetski Vestnik doi: 10.15292/geodetski-vestnik.2016.02.227-240 contributor: fullname: T Popit – ident: 1004_CR38 doi: 10.1007/978-3-319-53487-9_35 – volume: 34 start-page: 45 year: 2013 ident: 1004_CR5 publication-title: Int J Remote Sens doi: 10.1080/01431161.2012.705443 contributor: fullname: G Cheng – volume: 116 start-page: 24 year: 2010 ident: 1004_CR19 publication-title: Geomorphology doi: 10.1016/j.geomorph.2009.10.004 contributor: fullname: T Martha – ident: 1004_CR24 doi: 10.1007/978-3-319-53483-1_50 – ident: 1004_CR31 – volume: 27 start-page: 1433 issue: 7 year: 2013 ident: 1004_CR18 publication-title: Int J Geogr Inf Sci doi: 10.1080/13658816.2012.693614 contributor: fullname: G Manzo – volume: 24 start-page: 27 issue: 1 year: 1981 ident: 1004_CR27 publication-title: Geologija contributor: fullname: L Placer – volume: 35 start-page: 1125 issue: 6 year: 2009 ident: 1004_CR41 publication-title: Comput Geosci doi: 10.1016/j.cageo.2008.08.007 contributor: fullname: I Yilmaz – ident: 1004_CR1 – ident: 1004_CR3 – volume: 112 start-page: 42 issue: 1 year: 2012 ident: 1004_CR10 publication-title: Earth Sci Rev doi: 10.1016/j.earscirev.2012.02.001 contributor: fullname: F Guzzetti – volume: 12 start-page: 352 year: 2013 ident: 1004_CR12 publication-title: J Maps doi: 10.1080/17445647.2016.1215941 contributor: fullname: B Jurkovšek – volume: 204 start-page: 638 year: 2014 ident: 1004_CR32 publication-title: Geomorphology doi: 10.1016/j.geomorph.2013.09.010 contributor: fullname: T Popit – ident: 1004_CR7 – volume: 8 start-page: 499 year: 2011 ident: 1004_CR26 publication-title: Landslides doi: 10.1007/s10346-011-0270-z contributor: fullname: A Petkovšek – volume: 35 start-page: 2247 issue: 6 year: 2014 ident: 1004_CR40 publication-title: Int J Remote Sens doi: 10.1080/01431161.2014.890760 contributor: fullname: S Yang – ident: 1004_CR35 doi: 10.1007/978-3-319-53485-5_66 – volume: 51 start-page: 229 year: 2008 ident: 1004_CR28 publication-title: Geologija doi: 10.5474/geologija.2008.023 contributor: fullname: L Placer – ident: 1004_CR34 – ident: 1004_CR25 doi: 10.5194/isprs-archives-XLII-1-W1-83-2017 – volume: 6 start-page: 367 issue: 4 year: 2009 ident: 1004_CR20 publication-title: Landslides doi: 10.1007/s10346-009-0171-6 contributor: fullname: M Mikoš – volume: 173–174 start-page: 30 year: 2012 ident: 1004_CR37 publication-title: Geomorphology doi: 10.1016/j.geomorph.2012.05.024 contributor: fullname: M Eeckhaut Van Den – volume: 60 start-page: 197 year: 2013 ident: 1004_CR30 publication-title: RMZ-Mater Geoenviron contributor: fullname: T Popit – volume: 11 start-page: 425 issue: 3 year: 2014 ident: 1004_CR13 publication-title: Landslides doi: 10.1007/s10346-013-0391-7 contributor: fullname: T Kavzoglu – volume: 115 start-page: 1743 year: 2011 ident: 1004_CR22 publication-title: Remote Sens Environ doi: 10.1016/j.rse.2011.03.006 contributor: fullname: AC Mondini – volume: 29 start-page: 247 issue: 1 year: 2008 ident: 1004_CR23 publication-title: Int J Remote Sens doi: 10.1080/01431160701227661 contributor: fullname: NW Park – volume: 105 start-page: 171 issue: 3–4 year: 2009 ident: 1004_CR8 publication-title: Eng Geol doi: 10.1016/j.enggeo.2009.01.006 contributor: fullname: K Fifer Bizjak – volume: 60 start-page: 297 issue: 2 year: 2017 ident: 1004_CR29 publication-title: Geologija doi: 10.5474/geologija.2017.021 contributor: fullname: T Popit |
SSID | ssj0029039 |
Score | 2.2575276 |
Snippet | In the Vipava Valley (SW Slovenia), various types of mass movements occur in a geologically and geomorphologically diverse setting. These comprise various... |
SourceID | proquest crossref springer |
SourceType | Aggregation Database Publisher |
StartPage | 1415 |
SubjectTerms | Agriculture Alluvial deposits Alluvium Alternations Automatic classification Avalanches Breccia Carbonates Civil Engineering Classification Cliffs Curvature Deposits Earth and Environmental Science Earth Sciences Elevation Flysch Fossils Geographical information systems Geography Geological mapping Geomorphological mapping Geomorphology Gravel Landslides Landslides & mudslides Mass Mesozoic Methods Natural Hazards Paleogene Plateaus Quaternary Quaternary deposits Ruggedness Sandstone Slope Slopes Solifluction Technical Note Training |
SummonAdditionalLinks | – databaseName: SpringerLINK - Czech Republic Consortium dbid: AGYKE link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NT9tAEB2hoKrlAG1a1PBR7aGnwkZe72ZtHyMEoYX2kkLTk7W218FKYyOSIMKFv86MYxOg7YGjZWsk74xn3_PMvgH47GuJm6yRSEu04kp5HjeIjnjakVYlntHRQu3zhz4-U98GncEKuA-_LvJRu65Ilon60Vk3qYj8khqpozim3dUOTaVuwGq39_vk8IFmBU45PwyhDNIs4QzqWua_jDzdjZYQ81lVtNxsjjYWBwAnpUYh9ZiM2rNp1I5v_1ZwfMF7vIX1Cnuy7iJY3sGKzZuw1h1eVfobtgmvq6HoF_MmvOqVU3_n7-Gu97XPEWVTSCQsJsBNHUalU1mRMoTyFwUf2mJcoNvqdMpmmC4mjDrrh-y7ucnGszE7zUb2T0ZayuzgiZ19dp5dmmvDzmm6y3yf9X-xPjWY5pn5AGdHhz8Pjnk1uYEbKYMpFyrV0lGpNH4UxUGEgeIkOhXWGqH9IAmkdiKNUCERRiQI2XTsJ8aPjUhJUk3ITWjkRW4_AgtUjIxHekqT8r8XRy6SMCf2VaKMI6xuwZfag-HlQqAjXEox01qHuNZ0rUK3BTu1j8PqW52ELhVTPWTTqgV7tc-Wt_9rbOtFT2_DG5ecXnb67kBjejWzu4hnptGnKoDvAXWG6t8 priority: 102 providerName: Springer Nature |
Title | GIS-assisted classification of litho-geomorphological units using Maximum Likelihood Classification, Vipava Valley, SW Slovenia |
URI | https://link.springer.com/article/10.1007/s10346-018-1004-2 https://www.proquest.com/docview/2035179784/abstract/ |
Volume | 15 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3fT9swED4xEBIviG2gdTDkhz1tWMSxcZInVFB_7BdCdGXlKXJsp4ugTYEWjaf967tLm1VMYk9REskPd_bd99nn7wDex1pikjUSaYlWXKko4gbREc-PpFcuMjqbq32e6W5ffR4cDVagW9-FobLKOiZWgdqVlvbIkaRLUpOKYnVoMtoFsNPD48ktp_5RdM66aKbxAtYEaeLRnfF25y_1SoKqpxjCG6ReIhjU55vzS3RSEasmmdNA8fBphlrCzn9OSqsE1N6CzQVyZM25q1_Cih-_gvVO1Zn38TX87nzqcUTC5DbHLIFiqgKqDM_KnCHc_lnyoS9HJZq2Dnlshkv6nlH1-5B9M7-K0WzEvhbX_qYgvWN2-mScA3ZZTMyDYZfUgeXxgPV-sB4VgY4Lsw39duv7aZcvuitwI2Uy5ULlWgYqlybOMptk6MzA6Vx4b4SOE5dIHWQa07kTRjiEVdrGzsTWiJxkz4TcgdVxOfZvgCXKIiuRkdKkzh_ZLESiFNhYOWUC4XUDPtQWTSdzEY10KZdM5k_R_PSu0rABe7XN08V6uk-X3m_Ax9oPy9_PDvb2_4PtwkZIjq_Kb_dgdXo38-8QZEyz_Wr-7MNas3P1pYXPk9bZ-QV-7YfNP0Ey0hc |
link.rule.ids | 315,786,790,12792,21416,27957,27958,33408,33779,41116,41558,42185,42627,43635,43840,52146,52269,74392,74659 |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV07T8MwELagCMGCeIry9MAEWIpr10kmhCraAoWlPLpFTuyUCNoU2iKY-OvcpQlVkWCMInm4s---z3f-jpAjTwlIsloALVGSSem6TAM6YnFVWGlcrcKJ2uetat7Lq061k1-4DfO2yiImZoHapBHekQNJF6gm5XrybPDKcGoUVlfzERrzZEEKSJ34Urze-CFcvpNNEgNQA4SLO52iqjl5OickcmkUN3Ukq8zmpSnY_FUfzdJOfZWs5HiRnk8cvEbmbH-dLDayebyfG-SrcdlmgH_RWYZGCIWx9yczN01jCiD7KWVdm_ZSMGgR6OgYDvKQYs97l97oj6Q37tFW8mxfElQ5prWZdU7pQzLQ75o-4NyVz1PafqRtbP3sJ3qT3Ncv7mpNls9UYFoIf8S4jJVwZCy0F4aRH4ILHaNibq3myvONL5QTKkjihmtuAEypyDPaizSPUeyMiy1S6qd9u02oLyPgIsKVCjX53SisAD1yIk8aqR1uVZkcFxYNBhPpjGAqkozmD8D8-C2DSpnsFTYP8lM0DKY-L5OTwg_T338utvP_YodkqXl30wpal7fXu2S5gpsga8DdI6XR29juA8wYhQfZXvoG-W_NLg |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3JTsMwELVYBOKCWEVZfeAEWMS16yQnxFb2ClGW3iIndkoEbQptEZz4dWbShAokOEaRfHgz9ryJX94QsukpAUVWC2hLlGRSui7TwI5YXBFWGlercOD2WVOnd_K8UWnk-qduLqsszsTsoDZphN_IoUkX6CblenI3zmUR10fVvc4LwwlSeNOaj9MYJeOuVBXI8PGD49r1zXf75TvZXDGgONB-cadR3HEOfqQTEjtrtDp1JCv_rFJD6vnrtjQrQtUZMp2zR7o_CPcsGbHtOTJxkk3n_ZgnnydndQZsGENnaITEGJVAGfg0jSlQ7seUNW3aSgHe4tijfdjWXYoK-Ca90u9Jq9-il8mTfU7Q85ge_lhnh94nHf2m6T1OYfnYofUHWkchaDvRC-Suenx7eMryCQtMC-H3GJexEo6MhfbCMPJDCKhjVMyt1Vx5vvGFckIFJd1wzQ1QKxV5RnuR5jFan3GxSMbaadsuEerLCDoTAdCjQ78bhWVolpzIk0Zqh1tVIlsFokFnYKQRDC2TEf4A4MdnGZRLZLXAPMj3VDcYZkCJbBdxGL7-c7Hl_xfbIJOQSMHlWe1ihUyVMQcyNe4qGeu99u0acI5euJ4n0xc5NdLR |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=GIS-assisted+classification+of+litho-geomorphological+units+using+Maximum+Likelihood+Classification%2C+Vipava+Valley%2C+SW+Slovenia&rft.jtitle=Landslides&rft.au=Verbov%C5%A1ek%2C+Timotej&rft.au=Popit%2C+Tomislav&rft.date=2018-07-01&rft.issn=1612-510X&rft.eissn=1612-5118&rft.volume=15&rft.issue=7&rft.spage=1415&rft.epage=1424&rft_id=info:doi/10.1007%2Fs10346-018-1004-2&rft.externalDBID=n%2Fa&rft.externalDocID=10_1007_s10346_018_1004_2 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1612-510X&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1612-510X&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1612-510X&client=summon |