Global 30m Desert Dataset (1985-2024) and WRF-Simulated Spring Dust Emission in East Asia (2005-2020)

Using random forest classification (RFC), we construct a 40-year global desert dataset based on 30-meter Landsat reflectance data, incorporating multiple features including terrain relief, gray-level co-occurrence matrix (GLCM), and normalized difference vegetation index (NDVI). All source data are accessible through the Google Earth Engine (GEE) platform. In this dataset, desert is labeled with a value of 1, while no-data pixels are marked as 255.