The High-Performance Architecture-Independent LISFLOOD-CAESAR model of floodplain, river, and sediment dynamics
A C++/Python library of efficient algorithms for landscape evolution modeling
GeoGraph provides a tool for analysing habitat fragmentation and related problems in landscape ecology. GeoGraph builds a geospatially referenced graph from land cover or field survey data and enables graph-based landscape ecology analysis as well as interactive visualizations.
Stratrigraphy simulation solver for the GeoStats.jl framework
A short term landscape evolution using a path sampling method to solve water and sediment flow continuity equations and model mass flows over complex topographies.
Well-commented Python code for efficient and accurate solutions of the minimalist landscape evolution model (LEM) in detachment-limited conditions.
displaz visualization hacks for evolving landscapes
Landlab 地貌模拟工作台 | Visual desktop workbench for the Landlab landscape-evolution framework: 87 components, no-code workflows, online real-DEM, bilingual 中文/English
2D landscape generation
Neural terrain compression on NRW elevation data, tested against SZ3, SPERR and zfp, plus drainage checks and landscape physics.
Python code to simulate crater formation and evolution on a landscape, where the topography is given as a LandLab model grid object.
Terrain erosion you can check against real mountains. Hydraulic and thermal erosion, rock strata, tectonic uplift and drainage-network analysis — every milestone gated on a falsifiable measurement, not a screenshot.
A numerical simulation modeling landscape evolution, erosion, and ocean level interaction over time using Python and NumPy.
Solving surface-water phenomena seamlessly on a single grid — floods, tsunamis, debris flows, glaciers, groundwater in one Fortran program
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