A landslide dataset for Pingjiang County, Hunan Province

Landslides pose significant geological hazards in Pingjiang County, and
understanding their susceptibility is crucial for effective disaster
prevention and mitigation. However, detailed datasets capturing the
multi-factorial drivers of landslide susceptibility in this region remain
underdocumented. Here, we present a sample dataset of landslide
susceptibility in Pingjiang County, comprising more than 400000 samples
with multiple relevant variables. The dataset includes topographic factors
(Elevation, Slope, Aspect, Plan curvature), proximity metrics (Distance to
faults [Dis_fault], Distance to roads [Dis_road]), vegetation index (NDVI
[Normalized Difference Vegetation Index]), lithological information
(Lithology), and a potential soil/geomorphic index (SPI). This dataset is
designed to facilitate analyses of how various environmental and
topographic factors collectively influence landslide susceptibility. It
can support investigations into the relative importance of individual
variables—such as the role of slope steepness versus proximity to faults,
or the interplay between vegetation cover (NDVI) and lithology—in driving
landslide occurrence. Potential applications include statistical modeling
to identify key susceptibility drivers, or comparative analyses of how
factor combinations vary across samples. While specific analyses of the
dataset are beyond the scope here, the inclusion of diverse variables
enables exploration of complex relationships: for instance, whether areas
with steeper slopes (higher Slope values) and closer proximity to roads
(lower Dis_road) exhibit heightened susceptibility, or how lithological
differences (Lithology) modulate the impact of topographic factors. This
dataset provides a foundational resource for advancing landslide
susceptibility research in Pingjiang County, aiding in the development of
targeted hazard mitigation strategies and enhancing understanding of
regional landslide mechanisms.