Geomorphometry 2020

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Proceedings of the GEOMORPHOMETRY 2020 Conference


Geomorphometry is the science of quantitative land surface analysis. It gathers various mathematical, and to ...

Geomorphometry is the science of quantitative land surface analysis. It gathers various mathematical, statistical and image processing techniques to quantify morphological, hydrological, ecological and other aspects of a land surface. Common synonyms for geomorphometry are geomorphological analysis, terrain morphometry or terrain analysis and land surface analysis. The typical input to geomorphometric analysis is a square-grid representation of the land surface: a digital elevation (or land surface) model.
The first Geomorphometry conference dates back to 2009 and it took place in Zürich, Switzerland. Subsequent events were in Redlands (California), Nánjīng (China), Poznan (Poland) and Boulder (Colorado), at about two years intervals. The International Society for Geomorphometry (ISG) and the Organizing Committee scheduled the sixth Geomorphometry conference in Perugia, Italy, June 2020. Worldwide safety measures dictated the event could not be held in presence, and we excluded the possibility to hold the conference remotely. Thus, we postponed the event by one year – it will be organized in June 2021, in Perugia, hosted by the Research Institute for Geo-Hydrological Protection of the Italian National Research Council (CNR IRPI) and the Department of Physics and Geology of the University of Perugia.
One of the reasons why we postponed the conference, instead of canceling, was the encouraging number of submitted abstracts. Abstracts are actually short papers consisting of four pages, including figures and references, and they were peer-reviewed by the Scientific Committee of the conference. This book is a collection of the contributions revised by the authors after peer review. We grouped them in seven classes, as follows:

• Data and methods (12 abstracts)
• Geoheritage (6 abstracts)
• Glacial processes (9 abstracts)
• LIDAR and high resolution data (6 abstracts)
• Morphotectonics (8 abstracts)
• Natural hazards (11 abstracts)
• Soil erosion and fluvial processes (17 abstracts)

The 69 abstracts represent 80% of the initial contributions. The remaining ones were either not accepted after peer review or withdrawn by their Authors. Most of the contributions contain original material, and an extended version of a subset of them will be included in a special issue of a regular journal publication.

Three keynote speakers were scheduled for the conference: Marco Cavalli, Igor V. Florinsky and Michael Hutchinson. Prof. Hutchinson is the recipient of the ISG’s Lifetime Achievement Award.

Marco Cavalli is researcher at CNR IRPI Padova since 2009. His research interests mainly focus on the development and application of geomorphometric approaches to LiDAR data and high-resolution Digital Terrain Models with specific attention to geomorphic processes and sediment dynamics in mountain catchments. His main works concerned the development of indices of surface roughness and sediment connectivity along with the use of DEM differencing techniques to assess geomorphic changes.

Igor V. Florinsky is a Principal Research Scientist at the Institute of Mathematical Problems of Biology, Keldysh Institute of Applied Mathematics at the Russian Academy of Sciences. He is the author or editor of over 150 publications including 4 books and 60 papers in peer-reviewed journals. His research interests include theory, methods, and applications of digital terrain modeling and geomorphometry, as well as the influence of geological environment on humans, society, and civilization.

Michael Hutchinson is recognized internationally for his contributions to the theory and practice of spatial and temporal analysis of environmental data. His methods for modelling of climate and terrain, as implemented in the ANUDEM, ANUSPLIN and ANUCLIM computer packages, are widely used to support hydrological and ecological modelling and the assessment of the impacts of climate change. His Australia-wide terrain and climate models have underpinned much of the natural resource and environmental analysis carried out by Australian Universities and Natural Resource Agencies over the last 30 years.


Massimiliano Alvioli, Ivan Marchesini, Laura Melelli, Peter Guth



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Download of the single contributions:

Section 1: DATA & METHODS

Comparative study of delineation of urban areas using imperviousness products and open data
Massimiliano Alvioli
DOI: 10.30437/GEOMORPHOMETRY2020_1

An optimization of triangular network and its use in DEM generalization for the land surface segmentation
Richard Feciskanin and Jozef Minar
DOI: 10.30437/GEOMORPHOMETRY2020_2

Detection of crevasses using high-resolution digital elevation models Comparison of geomorphometric modeling and texture analysis
Olga Ishalina, Dmitrii Bliakharskii and Igor Florinsky
DOI: 10.30437/GEOMORPHOMETRY2020_3

Pit-centric depression removal methods
John Lindsay
DOI: 10.30437/GEOMORPHOMETRY2020_4

A framework for using handheld 3D surface scanners in quantifying the volumetric tufa growth
Ivan Maric, Ante Siljeg, Fran Domazetovic and Neven Cukrov
DOI: 10.30437/GEOMORPHOMETRY2020_5

What does land surface curvature really mean?
Jozef Minar, Marian Jenco, and Ian S. Evans
DOI: 10.30437/GEOMORPHOMETRY2020_6

Burial mound detection using geomorphometry and statistical methods pixels versus objects
Mihai Niculita
DOI: 10.30437/GEOMORPHOMETRY2020_7

Generalization of DEM looking for hierarchic levels of landforms in the land surface segmentation process.
Anton Popov, Jozef Minár, Michal Gallay
DOI: 10.30437/GEOMORPHOMETRY2020_8

A case-based classification strategy of automatically selecting terrain covariates for building geographic variable-environment relationship
Cheng-Zhi Qin, Peng Liang, A-Xing Zhu
DOI: 10.30437/GEOMORPHOMETRY2020_9

Automated Extraction of Areal Extents For GNIS Summit Features Using the Eminence-Core Method
Gaurav Sinha, Samantha Arundel
DOI: 10.30437/GEOMORPHOMETRY2020_10

Geomorphometric features selection based on intrinsic dimension estimation
Sebastiano Trevisani
DOI: 10.30437/GEOMORPHOMETRY2020_11

Classification of Terrain Concave and Convex Landform Units by using TIN
Guanghui Hu, Wen Dai, Liyang Xiong and Guoan Tang
DOI: 10.30437/GEOMORPHOMETRY2020_12

Geomorphic systems, sediment connectivity and geomorphodiversity relations within a small mountain catchment in the Lepontine Alps
Irene Maria Bollati and Marco Cavalli
DOI: 10.30437/GEOMORPHOMETRY2020_14


Flow Connectivity Patterns in Complex Anthropized Landscape Application in Cinque Terre Terraced Site
Lorenzo Borselli, Devis Bartolini, Paolo Corradeghini, Alessandro Lenzi and Paolo Petri
DOI: 10.30437/GEOMORPHOMETRY2020_15

Photogrammetric reconstruction of the Roman fish tank of Portus Julius (Pozzuoli Gulf, Italy) a contribution to the underwater geoarchaeological study of the area
Claudia Caporizzo, Pietro P.C. Aucelli, Gaia Mattei, Aldo Cinque, Salvatore Troisi, FrancescoPeluso, Michele Stefanile and GerardoPappone
DOI: 10.30437/GEOMORPHOMETRY2020_16

Changes of selected topographic parameters of Cracow Old Town (Poland) during the last millennium as a result of deposition of cultural sediments
Adam Lajczak, Roksana Zarychta and Grzegorz Wałek
DOI: 10.30437/GEOMORPHOMETRY2020_17

Necropolis of Palazzone in Perugia integrated geomatic techniques for a geomorphological analysis
Fabio Radicioni, Aurelio Stoppini, Grazia Tosi and Laura Marconi
DOI: 10.30437/GEOMORPHOMETRY2020_18

Combined approach for terraced slopes micromorphological analysis through field survey and 3D models the Stonewallsforlife project
Emanuele Raso, Paolo Ardissone, Leandro Bornaz, Andrea Mandarino, Andrea Vigo, UgoMiretti, Rocco Lagioia, AlbaBernini and Marco Firpo
DOI: 10.30437/GEOMORPHOMETRY2020_19

Geomorphometry in the deep Norwegian Sea
Margaret Dolan, Lilja Bjarnadottir, Terje Thorsnes, Markus Diesing and Shyam Chand
DOI: 10.30437/GEOMORPHOMETRY2020_20


Hypsoclinometric evidence of the degree of modification of mountains by glacial erosion
Ian Sylvester Evans, Nicholas J. Cox, Mihai Niculita and David Milledge
DOI: 10.30437/GEOMORPHOMETRY2020_21

3D marine geomorphometry for the Arctic Ocean
Igor Florinsky, Sergey Filippov and Alexander Govorov
DOI: 10.30437/GEOMORPHOMETRY2020_22

Geomorphometric diversity of closed depressions in the loess belt of east Poland (Nałęczów Plateau)
Leszek Gawrysiak and Renata Kołodyńska-Gawrysiak
DOI: 10.30437/GEOMORPHOMETRY2020_23

Geomorphometry of the cirques of Sar Planina
Ivica Milevski, Marjan Temovski, Balazs Madarasz, Zoltan Kern and Zsofia Ruszkiczay-Rudiger
DOI: 10.30437/GEOMORPHOMETRY2020_25


Using high-resolution ICESat-2 point clouds to evaluate 1-3 arc second global digital elevation models
Tera Geoffroy and Peter Guth
DOI: 10.30437/GEOMORPHOMETRY2020_29

Coastal dune modelling from airborne LiDAR, terrestrial LiDAR and Structure from Motion–Multi View Stereo
Carlos Grohmann, Guilherme Garcia, Alynne Affonso and Rafael Albuquerque
DOI: 10.30437/GEOMORPHOMETRY2020_30

Using high-resolution lidar point clouds to evaluate 1-3 arc second global digital elevation models
Peter Guth
DOI: 10.30437/GEOMORPHOMETRY2020_31

High-resolution geomorphometry – towards better understanding the genesis and contemporary processes in erosional sandstone landscapes
Kacper Jancewicz, Piotr Migoń, Wioleta Kotwicka and Milena Różycka
DOI: 10.30437/GEOMORPHOMETRY2020_32

Can multiscale roughness help computer-assisted identification of coastal habitats in Florida?
Vincent Lecours and Michael Espriella
DOI: 10.30437/GEOMORPHOMETRY2020_24

Estimating the spatial distribution of vegetation height and ground level elevation in a mesotidal salt marsh from UAV LiDAR derived point cloud
Daniele Pinton, Alberto Canestrellli, Christine Angelini, Benjamin Wilkinson, Peter Ifju and AndrewOrtega
DOI: 10.30437/GEOMORPHOMETRY2020_33

DEM from topographic maps – as good as DEM from LiDAR?
Bartłomiej Szypula
DOI: 10.30437/GEOMORPHOMETRY2020_34

Mathematical modelling of long profiles in a tectonically active area Observations from the DEM-based geomorphometry of the Rangit River, India
Sayantan Das, Lopamudra Roy, Arindam Sarkar and Somasis Sengupta
DOI: 10.30437/GEOMORPHOMETRY2020_35


Tectonic Geomorphology of West Bangalore by analysing the Chick Tore river basin, Karnataka, India, Using ASTER DEM
K S Divyalakshmi, Yogendra Singh and Biju John
DOI: 10.30437/GEOMORPHOMETRY2020_36

Detecting paleosurfaces on open access DEMs in semi-arid study area
Bernadett Dobre, István Péter Kovács and Titusz Bugya
DOI: 10.30437/GEOMORPHOMETRY2020_37

The relationship between Bedrock geometry and soil solum at a regional scale
Javad Khanifar and Ataallah Khademalrasoul
DOI: 10.30437/GEOMORPHOMETRY2020_38

4D geometrical and structural analysis of ground ruptures related to 2016 earthquakes in Sibillini mountains (Central Italy)
Marco Menichetti, Daniela Piacentini , Emanuela Tirincanti and Matteo Roccheggiani
DOI: 10.30437/GEOMORPHOMETRY2020_39

Geomorphometry helps to distinguish between mountain fronts of various origin (Sowie Mts., SW Poland)
Kacper Jancewicz, Piotr Migon, Wioleta Kotwicka and Milena Rozycka
DOI: 10.30437/GEOMORPHOMETRY2020_40

Geomorphometric characteristics of the high mountains in North Macedonia
Ivica Milevski, Bojana Aleksova and Sonja Lepitkova
DOI: 10.30437/GEOMORPHOMETRY2020_41

Geomorphometry and statistics-based approach for recognition of areas of enhanced erosion and their morphotectonic interpretation
Milena Rozycka and Piotr Migon
DOI: 10.30437/GEOMORPHOMETRY2020_71

Suspected signature of active tectonism in Palghat Gap, India
Yogendra Singh, Biju John and KS Divyalakshmi
DOI: 10.30437/GEOMORPHOMETRY2020_42


A data-driven method for assessing the probability for terrain grid cells of initiating rockfalls on a large area
Massimiliano Alvioli, Michele Santangelo, Federica Fiorucci, Mauro Cardinali, Ivan Marchesini, PaolaReichenbach and Mauro Rossi
DOI: 10.30437/GEOMORPHOMETRY2020_43

Towards a consistent set of land-surface variables for landslide modelling
Andrei Dornik, Lucian Draguț, Marinela Adriana Chetan, Takashi Oguchi, Yuichi Hayakawa and Mihai Micu
DOI: 10.30437/GEOMORPHOMETRY2020_44

Incorporating ground cracks in the estimation of post-seismic landslide susceptibility
Shui Yamaguchi and Mio Kasai
DOI: 10.30437/GEOMORPHOMETRY2020_45

Methodological Improvement for Reconstructing the Palaeo-topography of Lombok island before the Samalas AD 1257 Eruption
Mukhamad Malawani, Franck Lavigne and Bachtiar Mutaqin
DOI: 10.30437/GEOMORPHOMETRY2020_46

Slope–catchment area relationship for debris-flow source area identification
Ivan Marchesini, Mauro Rossi, Massimiliano Alvioli, Michele Santangelo and Mauro Cardinali
DOI: 10.30437/GEOMORPHOMETRY2020_47

Landslide topographic signature prediction using segmentation of roughness and Random Forest
Mihai Niculita
DOI: 10.30437/GEOMORPHOMETRY2020_48

Relevance of morphometric parameters in susceptibility modelling of earthquake-induced landslides
Badal Pokharel, Massimiliano Alvioli and Samsung Lim
DOI: 10.30437/GEOMORPHOMETRY2020_49

Geomorphometry based geodiversity for Lesser Antilles
Jan Sasak, Michal Gallay, Jaroslav Hofierka, Jan Kanuk, Milos Rusnak and Anna Kidova
DOI: 10.30437/GEOMORPHOMETRY2020_50

The role of pre-landslide morphology in statistical modelling of landslide-prone areas
Stefan Steger
DOI: 10.30437/GEOMORPHOMETRY2020_51

Assessing the impact of lava flows during the unrest of Svartsengi volcano in the Reykjanes peninsula, Iceland
Simone Tarquini, Massimiliano Favalli, Melissa Pfeffer, Mattia De’ Michieli Vitturi, Sara Barsotti, GroPedersen, Bergrún Arna Óladóttir and Esther Hjensen
DOI: 10.30437/GEOMORPHOMETRY2020_52

Differences between terrestrial and airborne SFM and MVS photogrammetry applied for change detection within a sinkhole in Thuringia, Germany
Markus Zehner, Helene Petschko, Patrick Fischer and Jason Goetz
DOI: 10.30437/GEOMORPHOMETRY2020_53

Quantifying geomorphic change in a partially restored gully using multitemporal UAV surveys and monitoring discharge and sediment production
Alberto Alfonso-Torreno, Alvaro Gomez-Gutierrez and Susanne Schnabel
DOI: 10.30437/GEOMORPHOMETRY2020_54


A new and extendable global watershed and stream network delineation using GRASS-GIS
Giuseppe Amatulli, Tushar Sethi, Longzhu Shen, Jaime Ricardo Garcia-Márquez, Jens Kiesel and SamiDomisch
DOI: 10.30437/GEOMORPHOMETRY2020_55

Drainage inversion revealed by geomorphometric analysis of fluvial terraces
Francesco Bucci, Michele Santangelo, Francesco Mirabella, Andrea Mazzoni and Mauro Cardinali
DOI: 10.30437/GEOMORPHOMETRY2020_56

Structural sediment connectivity assessment through a geomorphometric approach review of recent applications
Marco Cavalli, Stefano Crema and Lorenzo Marchi
DOI: 10.30437/GEOMORPHOMETRY2020_57

Fluvial inverse modelling for inferring the timing of Quaternary uplift in the Simbruini range (Central Apennines, Italy)
Michele Delchiaro, Veronica Fioramonti, Marta Della Seta, Gian Paolo Cavinato and Massimo Mattei
DOI: 10.30437/GEOMORPHOMETRY2020_58

Guidelines for optimization of terrestrial laser scanning surveys over gully erosion affected areas
Fran Domazetovic, Ante Siljeg and Ivan Maric
DOI: 10.30437/GEOMORPHOMETRY2020_59

The surface stream function representing flow topology with numbers
John Gallant
DOI: 10.30437/GEOMORPHOMETRY2020_60

The D8 implementation of the surface stream function
John Gallant
DOI: 10.30437/GEOMORPHOMETRY2020_61

Second-order derivatives of microtopography for the evaluation of soil erosion
Michal Gallay, Jozef Minar, Jan Kanuk, Juraj Holec and Anna Smetanova
DOI: 10.30437/GEOMORPHOMETRY2020_62

Response of alluvial river to active faulting example form Peninsular India
Biju John, KS Divyalakshmi, Yogendra Singh, SG Dhanil Dev
DOI: 10.30437/GEOMORPHOMETRY2020_63

Attempt at a semi-automatic detection of connectivity between rock glaciers and torrents
Mario Kummert, Xavier Bodin
DOI: 10.30437/GEOMORPHOMETRY2020_64

Mapping stream and floodplain geomorphic characteristics with the Floodplain and Channel Evaluation Tool (FACET) in the Mid-Atlantic Region, United States
Marina Metes, Kristina Hopkins, Labeeb Ahmed, Sam Lamont, Peter Claggett and Greg Noe
DOI: 10.30437/GEOMORPHOMETRY2020_65

Lithology and channel network initiation and orientation a case study of upper Ogun River basin, southwestern Nigeria
Adeyemi Olusola, Adetoye Faniran
DOI: 10.30437/GEOMORPHOMETRY2020_66

Morphometric and channel erosivity analysis of lateritic gully catchments using high resolution DTM and repeat survey Structure-from-Motion datasets
Priyank Pravin Patel, Sayoni Mondal, Rajarshi Dasgupta
DOI: 10.30437/GEOMORPHOMETRY2020_67

GIS-based geomorphometric analysis of stream networks in mountainous catchments implications for slope stability
Daniela Piacentini, Francesco Troiani, Mattia Marini, Marco Menichetti and Olivia Nesci
DOI: 10.30437/GEOMORPHOMETRY2020_68

An empirical-conceptual gully evolution model using space-for-time substitution
Xiaoli Huang, Guoan Tang
DOI: 10.30437/GEOMORPHOMETRY2020_69

Probabilistic behavior modeling of morphometric parameters for thermokarst plains with fluvial erosion in Cryolithozone
Alexey Victorov, Olga Trapeznikova and Timofey Orlov
DOI: 10.30437/GEOMORPHOMETRY2020_70

Physically-based segmentation of the Alps and the Western Carpathians: comparison and interpretation
Peter Bandura, Jozef Minár and Miroslav Bielik
DOI: 10.30437/GEOMORPHOMETRY2020_72

Promosso da

T4E Technology four Elements

Comitato organizzatore

– Massimiliano Alvioli (CNR IRPI) – Ivan Marchesini (CNR IRPI) – Laura Melelli (Università ...

– Massimiliano Alvioli (CNR IRPI)
– Ivan Marchesini (CNR IRPI)
– Laura Melelli (Università di Perugia)
– Peter Guth (US Naval Academy)
– Scott Peckham (University of Colorado)

Comitato scientifico

Alexander Brenning Friedrich Schiller University A-Xing Zhu University of Wisconsin Carlos Grohman University ...

Alexander Brenning Friedrich Schiller University
A-Xing Zhu University of Wisconsin
Carlos Grohman University of Sao Paolo
Hannes I. Reuter ISRIC – World Soil Information
Helena Mitasova North Carolina State University
Ian Evans Durham University
Jaroslav Hofierka University of Presov
John Gallant CSIRO
John Lindsay University of Guelph
Lucian Dragut West University of Timisoara
Massimiliano Alvioli CNR IRPI Perugia
Mihai Niculita University Al. I. Cuza
Peter L. Guth US Naval Academy
Qiming Zhou Hong Kong Baptist University
Qin Cheng-Zhi Chinese Academy of Sciences
Robert A. MacMillan LandMapper Environmental Solutions Inc.
Samantha Arundel USGS
Steve Kopp ESRI
Tomislav Hengl OpenGeoHub Foundation