EGU22-13343, updated on 10 Jan 2024
EGU General Assembly 2022
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

A scale-independent model for the analysis of geomorphodiversity index

Laura Melelli1, Martina Burnelli1, and Massimiliano Alvioli2
Laura Melelli et al.
  • 1Department of Physics and Geology, University of Perugia, Perugia, Italy
  • 2Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Via Madonna Alta 126, 06128, Perugia, Italy

The World Urbanization Prospects (ONU) estimates that within 2050 about 70% of the world's population will live in urban areas. The use of GIS and spatial analysis are essential tools for proper land use planning, which takes into account the geomorphological characteristics of the territory, as the starting point for the safeguard of urban ecosystems.

Several geological and environmental approaches have been proposed, albeit they usually lack a new objective, quantitative and scale independent model. At variance with common approaches, recently a new geomorphodiversity index was proposed which aims at an objective classification of joint geological, hydrological, biotic and ... features, in Italy.

In this work, we show results of a study performed in urban areas in Italy, where we apply systematic spatial analysis for the identification of the geomorphodiversity index. The approach proposed a quantitative assessment of topographic features (i.e., slope and landforms classification) is a spatial analysis in GRASS GIS through the use of geomorphon method and additional morphometric quantities. We aim at the definition of a new scale-independent approach, analyzing all of the morphometric quantities calculated at different scales (i.e., within moving windows of different sizes). We shown that scale- and model-independent selection of such features is possible for most of the considered quantities.

We argue that our work is relevant for the objective selection of quantities to define a geomorphodiversity index, and its calculation in  areas of arbitrary size and geomorphological properties, provided the same input data is available.

How to cite: Melelli, L., Burnelli, M., and Alvioli, M.: A scale-independent model for the analysis of geomorphodiversity index, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13343,, 2022.


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