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Introducing the Geomorphometric Atlas of Romania: A Publicly Available Database of Landform Classifications and Land-Surface Variables based on FABDEM

Geomorphometry 2025, 09-13.06.2025

Perugia, Italy

andrei.ionita@e-uvt.ro

Andrei Ioniță, Lucian Drăguț

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Basis of the Atlas

Geomorphometric Atlas

�A comprehensive spatial framework composed of maps and geospatial datasets that quantify and classify terrain properties using digital elevation models (DEMs). It provides a scientific basis for terrain analysis, environmental assessment, and land management at multiple scales.�

Key Components of the Atlas:

1. Landform Classifications

�Systematic grouping of land surface forms based on geomorphometric criteria. Supports predictive modeling, hazard mapping, erosion assessment, and sustainable land-use planning.

2. Morphometric Variables

�Quantitative descriptors of terrain geometry (e.g., slope, aspect, curvature) derived from DEMs. These metrics reveal spatial patterns and functional relationships within geosystems.

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What was done until now?

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Main Objective

Purpose

To develop and openly distribute a digital atlas of land-surface variables and landform classifications for Romania, supporting geoscientific research and interdisciplinary applications.

To support research and applications in geosciences and related domains, while informing policy-making and decision processes in agriculture, water resource management, hazard mitigation, and civil engineering.

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Workflow

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Workflow�Land-Surface Variables

Topographic Grain

Range Filter

3 scales of analysis - 90m, 330m, 810m

LSVs

FABDEM ROMANIA

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Scale Difference�Mountain

3x3 (90x90 m)

11x11 (330x330 m)

27x27 (810x810 m)

Slope

Plan Convexity

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Scale Difference�Plateau

3x3 (90x90 m)

11x11 (330x330 m)

27x27 (810x810 m)

Convexitatea în profil

Convexitatea în plan

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Scale Difference�Plain

3x3 (90x90 m)

11x11 (330x330 m)

27x27 (810x810 m)

Profile Convexity

Plan Convexity

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Initial Dataset�LSVs

1. Panta

2. Expoziția versanților

3. Multidirectional Hillshade

4. Sin (Eastness)

5. Cos (Northness)

6. PROC - Profile Convexity

7. PLAC- Plan Convexity

8. LONC - Longitudinal Curvature

9. CRSC - Cross-Sectional Curvature

10. PRCM - Minimum Profile Convexity

11. GOF – Goodness of fit

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Initial Dataset Landform Classifications

Global Landforms Classifications

Object-oriented classifications

Pixel-based classifications

Meybeck et al. (2001)

Iwahashi and Pike (2007)

Theobald et al. (2015)

Drăguț & Eisank, 2012

Iwahashi et al. (2018)

Iwahashi and Yamazaki

(2022)

+ Candrea (2008) – Manual mapping

(Vector Polygons)

&

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Seturi de date Clasificările formelor de relief

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Workflow�Public Data Sharing

Original Data

Reprojection in EPSG: 3857 - WGS 84 Web Mercator (Auxilliary Sphere)

Sharing as Web Tile Layer / Web Vector Tile

Tiling scheme – Min. Level 6 (1:9.000.000 – Country) – Max. Level 14 (1:36.000 – Town) –

9 different scales

Import in WebMap

WebApp Creation through Experience Builder

Download

https://drive.google.com/drive/folders/1FHn_Jb-QmmiSop0wM77IMLbzAaHt1zTt?usp=drive_link

Access to WebApp

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Discussion

User Accessibility Simplification:�Key morphometric variables are made accessible, removing the need for advanced expertise.

Related Initiatives:�Projects such as EcoDataCube (Witjes et al., 2023) and European-scale databases (Amatulli et al., 2020) highlight the importance of open-access geomorphometric data.

Study Innovations:�Topographic grain was computed and derived specifically for the Romanian territory.

Expanded Dataset:�Additional variables have been included lately, such as SPI, TWI, TPI, RI and many more.

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Conclusions

Innovative atlas:

The first geomorphometric atlas of Romania, available as open-source.

Built on 30 m resolution FABDEM across three analysis scales.

Diverse Applications:

Supports environmental research and policy in agriculture, water resource management, and erosion prevention.

Promotes spatial planning and sustainable land management practices.

Interdisciplinary Integration

Encourages linking geomorphometric data with variables from other domains such as biology, chemistry, and geosciences.

Supports the development of national-level environmental policies.

Accessibility and Impact

Freely available to researchers and authorities.

Fosters the adoption of sustainable practices.

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Thank you for your attention!

Andrei Ioniță

andrei.ionita@e-uvt.ro