From Earth to Titan: UCF Researchers Model Landscapes Using River Geometry

Long before roads, cities or borders, rivers carved the contours of the world.

Over millions of years, flowing water etched valleys, shaped mountainsides and formed the branching blue and green scars visible across Earth - and potentially those on other celestial bodies.

Now, UCF researchers and collaborating institutions developed a framework capable of reconstructing realistic 3D landscapes using only 2D river network patterns. By combining computer models that simulate how river networksform with principles of hydraulic geometry - the study of how rivers naturally shape themselves over time - the researchers were able to estimate terrain features such as elevation, channel depth, slope and sediment transport.

The approach could help scientists better understand how landscapes evolve under different environmental conditions on Earth and potentially other planetary bodies such as Mars and Titan.

Rivers as Geological Records

Associate Professor Arvind Singh (left) and postdoctoral scholar Dnyanesh Borse (right) stand in the Hydraulics Laboratory with another researcher beside a large hydraulic flume used to study river flow and landscape evolution.

According to Arvind Singh, an associate professor in UCF's Department of Civil, Environmental and Construction Engineering, river networks preserve traces of the physical processes and external forcings that shaped them over time.

"River networks encode the integrated effects of hydrologic and geomorphic processes, reflected in metrics such as drainage structure, channel geometry, relief and hypsometry (the measurement of elevation and depth)," Singh says.

Reconstructing Landscapes from Networks

Traditionally, researchers study river systems by starting with 3D topographic data gathered through satellite imaging and digital elevation models, then extracting river networks from the terrain.

The new framework flips that process.

Instead of beginning with terrain itself, the researchers investigated whether river networks contain enough information to reconstruct landscapes from the ground up.

"Because traditional approaches require full topography and only describe patterns, reverse engineering (e.g., from networks) can reveal the underlying physical processes that govern landscape form," Singh says.

The researchers say river networks can reveal far more than simple drainage patterns. Under the framework, the geometry of the networks can also help estimate hidden environmental variables tied to landscape formation.

"A key insight is that realistic 3D landscapes, and even unobservable quantities like discharge or sediment transport, can be reconstructed from 2D network structure alone, revealing strong constraints imposed by fundamental scaling laws," Singh says.

Testing Alien Worlds

Because the framework is dimensionless and scalable, researchers were also able to adapt the model to hypothetical landscapes on Mars and Titan by changing variables such as gravity and sediment density.

The resulting simulations revealed how river valleys and terrain formations may differ across planetary environments. Compared to Earth and Mars, Titan's lower gravity and unique environmental conditions produced wider channels, deeper river systems and flatter overall landscapes.

"Mars and Titan provide natural laboratories with different gravity and fluid/sediment properties, allowing the framework to test how identical network structures yield different landscapes under altered physical conditions."-Arvind Singh, associate professor

The planetary comparisons allowed the researchers to test how different environmental conditions influence landscape formation even when river structures remain similar.

"Mars and Titan provide natural laboratories with different gravity and fluid/sediment properties, allowing the framework to test how identical network structures yield different landscapes under altered physical conditions," Singh says.

The simulations also demonstrated how gravity and sediment behavior can dramatically alter the shape of landscapes over time.

"Differences in gravity and sediment properties directly alter channel width, depth, slope, and relief, leading to distinct landscape geometries even with the same network structure," Singh says.

The researchers say the framework may also help scientists better understand how precipitation, sediment size and watershed structure influence the evolution of landscapes over time. Unlike many traditional landscape evolution models, the framework explicitly resolves river channels and their physical characteristics, including depth, slope and gravel transport.

A New Framework for Landscape Evolution

The researchers say the framework differs from many traditional landscape evolution models because it directly incorporates the physical properties of river channels into the simulations.

"This framework couples probabilistic 2D channel network generation with physically based, dimensionally consistent hydraulic geometry and hillslope models, explicitly resolving channel properties and producing fully scalable 3D landscapes," Singh says.

By revealing how river networks preserve hidden information about the worlds they shape, the researchers hope the framework can help scientists better understand not only Earth's geological past, but also the ancient landscapes of distant planetary environments.

The study was conducted by researchers from UCF, the University of Illinois Urbana-Champaign, and collaborating institutions, with support from the UCF P3 program and other funding sources.

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College of Engineering and Computer Science Research space civil engineering Environmental and Construction Engineering