A Multi-Year Dataset of 226 Dune Segments

# Dataset Title
Morphometric and Climatic Drivers of Dune Migration: A Multi-Year Dataset of 226 Dune Segments

# Description
This dataset contains morphological, climatic, and kinematic metrics for 226 individual dune segments monitored between 2017 and 2025 in a hyper-active aeolian system. The data was generated to analyze the drivers of dune migration using machine learning (XGBoost) and explainable AI techniques.

# Methodology
* **Dune Extraction:** Dune boundaries were delineated manually by 1 user from high-resolution satellite imagery (Sentinel-2).
* **Migration Tracking:** Migration rates were computed using centroid displacement over annual intervals.
* **Topography:** Morphometric variables (width, slope) were derived from the ALOS World 3D-30m (AW3D30) DEM.
* **Climate:** Drift Potential (DP) was calculated from ERA5-Land hourly wind data using the Fryberger method.

# Variables
The dataset (`Seg_Processed.xlsx`) includes the following key variables:
1. `A_Dune_ID`: Unique identifier for each dune segment.
2. `Migration_rate` (m/year): The dependent variable representing the annual rate of dune celerity.
3. `A_width` (m): Dune width, serving as a proxy for dune size/volume (inverse-size scaling).
4. `Slope_Mean` (degrees): Mean stoss slope of the dune segment.
5. `DP_Mean` (vector units): Mean Drift Potential representing wind energy.

# Potential Use Cases
* Benchmarking machine learning models for geomorphic prediction.
* Validating physical scaling laws of sediment transport.
* Analyzing non-linear interactions between dune morphology and wind regime.
* Calibrating global sand transport models.

# Format
* File: `Seg_Processed.xlsx` (Excel format)
* Rows: 226
* Columns: 22