This dataset contains geospatial wildfire influencing factors used as input features for machine learning and deep learning models. It includes topographic variables (elevation, slope, and aspect), meteorological conditions, vegetation indices, land use/land cover information, and anthropogenic factors that contribute to wildfire occurrence and spread. The dataset is intended to support wildfire susceptibility assessment, fire prediction, detection, and monitoring applications, and provides a standardized collection of environmental variables suitable for ...

A dataset of landslide and no-landslide occurrences was generated by implementing the Persistent Scatterer Interferometry (PSI) technique on ERS, ENVISAT, and Sentinel-1 SAR imagery. In addition, the dataset incorporates a range of landslide causal factors.