1 of 16

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

2 of 16

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.

3 of 16

What was done until now?

4 of 16

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.

5 of 16

Workflow

6 of 16

Workflow�Land-Surface Variables

Topographic Grain

Range Filter

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

LSVs

FABDEM ROMANIA

7 of 16

Scale Difference�Mountain

3x3 (90x90 m)

11x11 (330x330 m)

27x27 (810x810 m)

Slope

Plan Convexity

8 of 16

Scale Difference�Plateau

3x3 (90x90 m)

11x11 (330x330 m)

27x27 (810x810 m)

Convexitatea în profil

Convexitatea în plan

9 of 16

Scale Difference�Plain

3x3 (90x90 m)

11x11 (330x330 m)

27x27 (810x810 m)

Profile Convexity

Plan Convexity

10 of 16

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

11 of 16

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)

&

12 of 16

Seturi de date Clasificările formelor de relief

13 of 16

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

14 of 16

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.

​

📊

🆕

🌐

🎯

15 of 16

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.

🌍

🔬

✅

16 of 16

Thank you for your attention!

Andrei Ioniță

andrei.ionita@e-uvt.ro