Test datasets for "A modular toolkit for block-based spatially explicit spectral analysis of digital elevation models": 1 m resolution LiDAR DEMs (mountainous slope and Podskalie case study)

This dataset validates FFT Tools, a modular Rust toolkit for spatially explicit spectral analysis of Digital Elevation Models (DEMs). The research addresses spectral leakage and non-stationarity in geomorphometry by combining block-based localized Fourier decomposition with a thin-plate spline (TPS) extrapolation strategy. This approach resolves anisotropic landform organization and distinguishes lithologically controlled textures without boundary-induced artifacts.

The archive contains two primary 1 m resolution LiDAR-derived DEMs in .TIF format:
slope.tif: A mountainous slope segment used for spectral characterization and PSD analysis (Section 4.1).
podskalie.tif: A case study from the Podskalie area used for scale-specific reconstruction and quantitative comparison (Section 4.2).

Both datasets were processed using the FFT Tools framework, applying an outer tapering strategy with residual reconstruction to preserve the full interior signal. These benchmarks demonstrate the toolkit’s ability to isolate land surface components from meter-scale roughness to large-scale morphology, supporting the development of physical geomorphometry. The data is intended for use with the FFT Tools library to replicate the spectral decomposition and filtering workflows described in the manuscript.