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Res."},{"key":"10.1016\/j.earscirev.2022.103944_bb0420","series-title":"Thematic Cartography and Geovisualization","author":"Howard","year":"2008"},{"key":"10.1016\/j.earscirev.2022.103944_bb0425","doi-asserted-by":"crossref","first-page":"107553","DOI":"10.1016\/j.geomorph.2020.107553","article-title":"Quantification of terrain plan concavity and convexity using aspect vectors from digital elevation models","volume":"375","author":"Hu","year":"2021","journal-title":"Geomorphology"},{"key":"10.1016\/j.earscirev.2022.103944_bb0430","first-page":"1","article-title":"Using vertices of a triangular irregular network to calculate slope and aspect","author":"Hu","year":"2021","journal-title":"Int. J. Geogr. Inform. 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Ther."},{"key":"10.1016\/j.earscirev.2022.103944_bb0450","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/S0893-6080(00)00026-5","article-title":"Independent component analysis: algorithms and applications","volume":"13","author":"Hyv\u00e4rinen","year":"2000","journal-title":"Neural Networks"},{"issue":"5","key":"10.1016\/j.earscirev.2022.103944_bb9210","doi-asserted-by":"crossref","first-page":"397","DOI":"10.13189\/eer.2018.060501","article-title":"Geomorphometry in Landscape Ecology: Issues of scale, physiography, and application","volume":"6","author":"Ironside","year":"2018","journal-title":"Environment and Ecology Research"},{"key":"10.1016\/j.earscirev.2022.103944_bb0455","series-title":"Geomorphology, Geospatial Technologies and Geomorphological Mapping Proceedings of the 41st Annual Binghamton Geomorphology Symposium","first-page":"181","article-title":"Geomorphic change detection using historic maps and DEM differencing: the temporal dimension of geospatial analysis","volume":"137","author":"James","year":"2012"},{"key":"10.1016\/j.earscirev.2022.103944_bb0460","series-title":"An Introduction to Statistical Learning","author":"James","year":"2013"},{"key":"10.1016\/j.earscirev.2022.103944_bb0465","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.geomorph.2012.11.005","article-title":"Geomorphons \u2014 a pattern recognition approach to classification and mapping of landforms","volume":"182","author":"Jasiewicz","year":"2013","journal-title":"Geomorphology"},{"key":"10.1016\/j.earscirev.2022.103944_bb0470","first-page":"52","article-title":"Content-based landscape retrieval using geomorphons","volume":"2013","author":"Jasiewicz","year":"2013","journal-title":"Geomorphometry"},{"key":"10.1016\/j.earscirev.2022.103944_bb0475","doi-asserted-by":"crossref","first-page":"829","DOI":"10.2193\/0091-7648(2004)032[0829:CLSAFD]2.0.CO;2","article-title":"Calculating landscape surface area from digital elevation models","volume":"32","author":"Jenness","year":"2004","journal-title":"Wildl. Soc. Bull."},{"key":"10.1016\/j.earscirev.2022.103944_bb0480","doi-asserted-by":"crossref","first-page":"2487","DOI":"10.1130\/GES01680.1","article-title":"Establishing chronologies for alluvial-fan sequences with analysis of high-resolution topographic data: San Luis Valley, Colorado, USA","volume":"14","author":"Johnstone","year":"2018","journal-title":"Geosphere"},{"key":"10.1016\/j.earscirev.2022.103944_bb0485","first-page":"1","article-title":"Research on the classification of terrain texture from DEMs based on BP neural network","volume":"2013","author":"Kai","year":"2013","journal-title":"Geomorphometry"},{"key":"10.1016\/j.earscirev.2022.103944_bb9360","unstructured":"Kalousis, A., Prados, J. and Hilario, M., 2005, November. Stability of feature selection algorithms. In Fifth IEEE International Conference on Data Mining (ICDM'05) (pp. 8-pp). IEEE."},{"key":"10.1016\/j.earscirev.2022.103944_bb0490","series-title":"Proceedings of ICNN'95-International Conference on Neural Networks","first-page":"1942","article-title":"Particle swarm optimization","author":"Kennedy","year":"1995"},{"key":"10.1016\/j.earscirev.2022.103944_bb0495","series-title":"2014 Science and Information Conference","first-page":"372","article-title":"A survey of feature selection and feature extraction techniques in machine learning","author":"Khalid","year":"2014"},{"key":"10.1016\/j.earscirev.2022.103944_bb0500","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1111\/j.1467-9671.2004.00169.x","article-title":"The effect of DEM raster resolution on first order, second order and compound terrain derivatives","volume":"8","author":"Kienzle","year":"2004","journal-title":"Trans. GIS"},{"key":"10.1016\/j.earscirev.2022.103944_bb0505","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.jsg.2012.07.009","article-title":"Expression of active tectonics in erosional landscapes","volume":"44","author":"Kirby","year":"2012","journal-title":"J. Struct. Geol."},{"key":"10.1016\/j.earscirev.2022.103944_bb0510","doi-asserted-by":"crossref","first-page":"613","DOI":"10.14358\/PERS.79.7.613","article-title":"The effects of data selection and thematic detail on the accuracy of high spatial resolution wetland classifications","volume":"79","author":"Knight","year":"2013","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"10.1016\/j.earscirev.2022.103944_bb0515","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.icarus.2013.04.027","article-title":"Lunar topographic roughness maps from Lunar Orbiter Laser Altimeter (LOLA) data: scale dependence and correlation with geologic features and units","volume":"226","author":"Kreslavsky","year":"2013","journal-title":"Icarus"},{"key":"10.1016\/j.earscirev.2022.103944_bb0520","series-title":"Tidymodels: A Collection of Packages for Modeling and Machine Learning Using Tidyverse Principles","author":"Kuhn","year":"2020"},{"key":"10.1016\/j.earscirev.2022.103944_bb0525","series-title":"recipes: Preprocessing Tools to Create Design Matrices","author":"Kuhn","year":"2021"},{"key":"10.1016\/j.earscirev.2022.103944_bb0530","doi-asserted-by":"crossref","DOI":"10.1029\/2020GL088918","article-title":"The grass is not always greener on the other side: seasonal reversal of vegetation greenness in aspect-driven semiarid ecosystems","volume":"47","author":"Kumari","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"10.1016\/j.earscirev.2022.103944_bb0535","first-page":"108","article-title":"Constraints on the long-term colluvial erosion law by analyzing slope-area relationships at various tectonic uplift rates in the Siwaliks Hills (Nepal)","author":"Lague","year":"2003","journal-title":"J. Geophys. Res."},{"key":"10.1016\/j.earscirev.2022.103944_bb0540","article-title":"Laboratory experiments simulating the geomorphic response to tectonic uplift","volume":"108","author":"Lague","year":"2003","journal-title":"J. Geophys. 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Remote Sens."},{"key":"10.1016\/j.earscirev.2022.103944_bb0565","doi-asserted-by":"crossref","first-page":"107045","DOI":"10.1016\/j.geomorph.2020.107045","article-title":"Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery","volume":"354","author":"Li","year":"2020","journal-title":"Geomorphology"},{"key":"10.1016\/j.earscirev.2022.103944_bb0570","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.catena.2016.01.002","article-title":"Geomorphons: landform and property predictions in a glacial moraine in Indiana landscapes","volume":"142","author":"Libohova","year":"2016","journal-title":"CATENA"},{"key":"10.1016\/j.earscirev.2022.103944_bb0575","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/0169-555X(92)90059-W","article-title":"Tectonic, climatic and lithologic influences on landscape fractal dimension and hypsometry: implications for landscape evolution in the San Gabriel Mountains, California","volume":"5","author":"Lifton","year":"1992","journal-title":"Geomorphology"},{"key":"10.1016\/j.earscirev.2022.103944_bb0580","series-title":"Remote Sensing and Image Interpretation","author":"Lillesand","year":"2015"},{"key":"10.1016\/j.earscirev.2022.103944_bb0590","first-page":"25","article-title":"Use surface area for realistic calculations","volume":"15","author":"Lopez","year":"2002","journal-title":"GeoWorld"},{"key":"10.1016\/j.earscirev.2022.103944_bb0595","series-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","first-page":"4768","article-title":"A unified approach to interpreting model predictions","author":"Lundberg","year":"2017"},{"key":"10.1016\/j.earscirev.2022.103944_bb0600","series-title":"Explainable AI for Trees: From Local Explanations to Global Understanding","author":"Lundberg","year":"2019"},{"key":"10.1016\/j.earscirev.2022.103944_bb0605","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1002\/esp.1399","article-title":"The use of GIS-based digital morphometric techniques in the study of cockpit karst","volume":"32","author":"Lyew-Ayee","year":"2007","journal-title":"Earth Surf. 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