Automatic Landform Recognition, Extraction, and Classification using Kernel Pattern Modeling
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Adediran AO, Parcharidis I, Poscolieri M, Pavlopoulos K (2004) Computer-assisted discrimination of morphological units on north-central Crete (Greece) by applying multivariate statistics to local relief gradients. Geomorphology 58(1–4):357–370
Anders NS, Seijmonsbergen AC, Bouten W (2011) Segmentation optimization and stratified object-based analysis for semi-automated geomorphological mapping. Remote Sens Environ 115(12):2976–2985
Argyriou AV, Teeuw RM, Sarris A (2017) GIS-based landform classification of Bronze Age archaeological sites on Crete Island. PLoS ONE 12(2):e0170727. https://doi.org/10.1371/journal.pone.0170727
Barka I, Vladovic J, Malis F (2011) Landform classification and its application in predictive mapping of soil and forest units. In: Horak J, Hlasny T, Ruzicka J, Halounova L, Cerba O (eds), GIS Ostrava 2011–The 8th International Symposium. Ostrava: Technical University of Ostrava, pp 143–157
Bates RL, Jackson JA (eds) (2005) Glossary of Geology, 5th edn. American Geological Institute, New York
Behrens T, Zhu AX, Schmidt K, Scholten T (2010) Multi-scale digital terrain analysis and feature selection for digital soil mapping. Geoderma 155(3–4):175–185
Bishop MA (2009) A generic classification for the morphological and spatial complexity of volcanic (and other) landforms. Geomorphology 111(1–2):104–109
Bishop MP, James LA, Shroder JF, Walsh SJ (2012) Geospatial technologies and digital geomorphological mapping: Concepts, issues and research. Geomorphology 137(1):5–26
Bugnicourt P, Guitet S, Santos VF, Blanc L, Sotta ED, Barbier N, Couteron P (2018) Using textural analysis for regional landform and landscape mapping, Eastern Guiana Shield. Geomorphology 317:23–44
Change KT (2019) Introduction to Geographic Information Systems. McGraw-Hill, New York
Chauniyal DD, Dutta S (2018) Application of topographic position index for classification of landforms in Dudhatoli Region of Garhwal Himalaya, Uttarakhand. J Indian Geomorphol 6:28–41
Cunha NS, Magalhães MR, Domingos T, Abreu MM, Withing K (2018) The land morphology concept and mapping method and its application to mainland Portugal. Geoderma 325:72–89
De Reu J, Bourgeois J, Bats M, Zwertvaegher A, Gelorini V, De Smedt P, Chu W, Antrop M, De Maeyer P, Finke P, Van Meirvenne M, Verniers J, Crombé P (2013) Application of the topographic position index to heterogeneous landscapes. Geomorphology 186:39–49. https://doi.org/10.1016/j.geomorph.2012.12.015
Dikau R (1990) Geomorphic landform modelling based on hierarchy theory, presented at the 4th International Symposium on Spatial Data Handling, Switzerland
Doroozi R, Vaccaro C, Masoudi F, Petrini R (2016) Cretaceous alkaline volcanism in south Marzanabad, northern central Alborz, Iran: Geochemistry and petrogenesis. Geosci Front 7:937–951
Drăguţ L, Eisank C (2011) Automated object-based classification of topography from SRTM data. Geomorphology 141–142:21–33
Duda RO, Hart PE, Stork DG (2000) Pattern Classification, 2nd edn. John Wiley & Sons, New York
Gallant JC, Wilson JP (2000) Primary topographic attributes. In: Wilson, J.P., Gallant, J.C. (Eds.), Terrain Analysis: Principles and Applications. John Wiley & Sons, New York
Garcia GPB, Grohmann CH (2019) DEM-based geomorphological mapping and landforms characterization of a tropical karst environment in southeastern Brazil. J South Am Earth Sci 93:14–22
Gruber FE, Baruck J, Geitner C (2017) Algorithms vs. surveyors: a comparison of automated landform delineations and surveyed topographic positions from soil mapping in an Alpine environment. Geoderma 308:9–25
Guitet S, Cornu JF, Brunaux O, Betbeder J, Carozza JM, Hansen RC (2013) Landform and landscape mapping, French Guiana (South America). J Maps 9(3):325–335. https://doi.org/10.1080/17445647.2013.785371
Hengl T, Reuter HI (2009) Geomorphometry: Concepts, Software, Applications. Elsevier, Amsterdam
Iwahashi J, Pike RJ (2007) Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature. Geomorphology 86(3–4):409–440
Jenness J (2006) Topographic Position Index (tpi_jen.avx) extension for ArcView 3.x. Jenness Enterprises, Arizona
Jasiewicz J, Netzel P, Stepinski TF (2014) Landscape similarity, retrieval, and machine mapping of physiographic units. Geomorphology 221:104–112
Jiang L, Ling D, Zhao M, Wang C, Liang Q, Liu K (2018) Effective identification of terrain positions from gridded DEM data using multimodal classification integration. ISPRS Int J Geo-Inf 7(11):443. https://doi.org/10.3390/ijgi7110443
Jorge MG, Brennand TA (2017) Semi-automated extraction of longitudinal subglacial bedforms from digital terrain models – Two new methods. Geomorphology 288:148–163
Kramm T, Hoffmeister D, Curdt C, Maleki S, Khormali F, Kehl M (2017) Accuracy assessment of landform classification approaches on different spatial scales for the Iranian loess plateau. ISPRS Int J Geo-Inf 6(11):366
Lane SN, Richards KS, Chandler JH (1998) Landform monitoring, modelling and analysis. Wiley, Chichester
Li Z, Zhu Q, Gold C (2005) Digital terrain modeling: principles and methodology. CRC Press, Boca Raton, FL
Migoń P, Kasprzak M, Traczyk A (2013) How high-resolution DEM based on airborne LiDAR helped to reinterpret landforms – examples from the Sudetes, SW Poland. Landform Analysis 22:89–101
Mithan HT, Hales TH, Cleall PJ (2019) Supervised classification of landforms in Arctic mountains. Permafr Periglac Process 30(3):131–145
Moore ID, Nieber JL (1989) Landscape assessment of soil erosion and non-point source pollution. J Minn Acad Sci 55(1):18–25
Nair HC, Joseph A, Padmakumari Gopinathan V (2018) GIS Based landform classification using digital elevation model: a case study from two river basins of Southern Western Ghats, Kerala, India. Model Earth Syst Environ 4:1355–1363. https://doi.org/10.1007/s40808-018-0490-5
Ngunjiri MW, Libohova Z, Owens PR, Schulze DG (2020) Landform pattern recognition and classification for predicting soil types of the Uasin Gishu Plateau. Kenya Catena 188:104390
O’Callaghan JF, Mark DM (1984) The extraction of drainage networks from digital elevation data. Comput graph image process 28(3):323–344
Orlandini S, Moretti G, Franchini M, Aldigheri B, Testa B (2003) Path-based methods for the determination of nondispersive drainage directions in grid-based digital elevation models, Water Resour Res 39(6):1144. https://doi.org/10.1029/2002WR001639
Pedersen GBM (2016) Semi-automatic classification of glaciovolcanic landforms: an object-based mapping approach based on geomorphometry. J Volcanol Geotherm Res 311:29–40
Pennock DJ (2003) Terrain attributes, landform segmentation, and soil redistribution. Soil Tillage Res 69(1–2):15–26
Piloyan A, Konečný M (2017) Semi-automated classification of landform elements in Armenia based on SRTM DEM using K-means unsupervised classification. Quaest Geogr 36(1):93–103
Prima ODA, Echigo A, Yokoyama R, Yoshida T (2006) Supervised landform classification of Northeast Honshu from DEM-derived thematic maps. Geomorphology 78:373–386
Quinn P, Beven K, Chevallier P, Planchon O (1991) The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models. Hydrol Process 5(1):59–79
Roy L, Das S (2021) GIS-based landform and LULC classifications in the Sub-Himalayan Kaljani Basin: special reference to 2016 Flood. Egypt J Remote Sens Space Sci 24(3):755–767. https://doi.org/10.1016/j.ejrs.2021.06.005
Saadat H, Bonnell R, Sharifi F, Mehuys G, Namdar M, Ale-Ebrahim S (2008) Landform classification from a digital elevation model and satellite imagery. Geomorphology 100(3–4):453–464. https://doi.org/10.1016/j.geomorph.2008.01.011
Schwanghart W, Groom G, Kuhn NJ, Heckrath G (2013) Flow network derivation from a high-resolution DEM in a low relief, agrarian landscape. Earth Surf Process Landf 38(13):1576–1586
Sofia G (2020) Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward. Geomorphology 355:107055
Tadono T, Ishida H, Oda F, Naito S, Minakawa K, Iwamoto H (2014) Precise global DEM generation by ALOS PRISM. ISPRS Ann Photogramm Remote Sens Spat Inf Sci 2–4:71–76
Tagil S, Jenness J (2008) GIS-based automated landform classification and topographic, land cover and geologic attributes of landforms around the Yazoren Polje. Turkey J Appl Sci 8(6):910–921
Takaku J, Tadono T, Tsutsui K (2014) Generation of high-resolution global DSM from ALOS PRISM. ISPRS Ann Photogramm Remote Sens Spat Inf Sci 4:243–248
Tarboton DG (1997) A new method for determination of flow directions and upslope areas in grid digital elevation models. Water Resour Res 33(2):309–317
Torres RN, Milani F, Fraternali P (2019) Algorithms for mountain peaks discovery: a comparison, Association for Computing Machinery. SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing 667–674. https://doi.org/10.1145/3297280.3297343.
Vannametee E, Babel LV, Hendriks MR, Schuur J, de Jong SM, Bierkens MFP, Karssenberg D (2014) Semi-automated mapping of landforms using multiple point geostatistics. Geomorphology 221:298–319
Wei Z, He H, Hao H, Gao W (2017) Automated mapping of landforms through the application of supervised classification to lidAR-derived DEMs and the identification of earthquake ruptures. Int J Remote Sens 38(23):7196–7219. https://doi.org/10.1080/01431161.2017.1372861
Weiss A (2001) Topographic position and landforms Analysis. Poster presentation, ESRI user Conference, San Diego, C.A.
Xiong LY, Zhu AX, Zhang L, Tang GA (2018) Drainage basin object-based method for regional-scale landform classification: a case study of loess area in China. Phys Geogr 39(6):523–541. https://doi.org/10.1080/02723646.2018.1442062
Zhao WF, Xiong LY, Ding H, Tang GA (2017) Automatic recognition of loess landforms using Random Forest method. J Mt Sci 14:885–897
