Hannes I. Reuter is a geoecologist from the University of Potsdam (Germany, 1999) with a PhD in soil science from the University of Hannover (Germany, 2004). He is specialized inspatial research projects from global and continental to local scales and has worked in multidisciplinary research institutes. With Tom he was one of the editors of the first edition andserved as president (2021--2025) of the International Society for Geomorphometry. Currently he works as a statistical officer inthe European Commission. Carlos H. Grohmann is aP full professor at the Universidade de São Paulo, Brazil (USP), where he coordinates the Spatial Analysis and Modelling Lab (SPAMLab). He holds a BSc in Geology(2001), MSc (2004), and PhD (2008) in geotectonics from USP. His research focuses on the use of digital elevation models, open-source geospatial tools, and quantitative analysis of landforms. He has served as vice-president (2015--2021, 2025--2027) and board member (2021--2025) of the International Society forGeomorphometry. Vincent Lecours is a full professor at the Université du Québec à Chicoutimi. He holds a BSc degree in applied geomatics fromthe Université de Sherbrooke (2011) and a PhD in geography from Memorial University of Newfoundland (2016). He conducts cross-disciplinary environmental research using geospatial technologies and spatial sciences, with a particular focus on bridging geomatics and ecology. His primary fields of application are marine and coastal habitat mapping and marine geomorphometry. Lecours has served as vice-president (2021--2023) and president(2025--2027) of the International Society for Geomorphometry.

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• PART 1 – ConceptsChapter 1: Geomorphometry 2.0: A Brief GuideChapter 2: Conceptual, Mathematical & Digital Models of the Land SurfaceChapter 3: DEM Production MethodsChapter 4: DEM Sources – From Local to GlobalChapter 5: Preparation of DEMs for Geomorphometric AnalysisChapter 6: Basic Land-Surface ParametersChapter 7: Land-Surface Parameters and Objects in HydrologyChapter 8: Land-Surface Parameters in Climatology and MeteorologyChapter 9: Landform – A Key Concept of Geomorphology and GeomorphometryPART 2 – SoftwareChapter 10: Overview of Software Packages Used in GeomorphometryChapter 11: Geomorphometry in ArcGISChapter 12: Geomorphometry in GRASSChapter 13: Geomorphometry in MICRODEMChapter 14: Geomorphometry in QGIS/PCRasterChapter 15: Geomorphometry in SAGAChapter 16: Geomorphometry in TopoToolboxChapter 17: Geomorphometry in WhiteboxChapter 18: Geomorphometry in RiverToolsChapter 19: Geomorphometry Using Open-Source Programming LanguagesPART 3 – ApplicationsChapter 20: Geomorphometry – A Key to Surface Mapping and ModellingChapter 21: Soil Mapping ApplicationsChapter 22: Applications in GeomorphologyChapter 23: Modeling Mass Movements and Landslide SusceptibilityChapter 24: Landform Element Recognition through Machine Learning and Computer VisionChapter 25: Ecological Applications of GeomorphometryChapter 26: Geomorphometry in Spatial Hydrological ModelingChapter 27: Geomorphometry for ArchaeologyChapter 28: Geomorphometry in a Time of Climate ChangeChapter 29: Underwater GeomorphometryChapter 30: Extraterrestrial GeomorphometryChapter 31: The Future of GeomorphometryPART 4 – ReferencesChapter 32: Full List of References