Table 1 Data and sources required for this study.

From: A new framework for landslide susceptibility mapping in contiguous impoverished areas using machine learning and catastrophe theory

Data type

Source

annotations

Landsat

Google Earth Engine

Select images from 2022 to 2024 and extract the vegetation coverage of the CIALS

DEM

http://www.gscloud.cn/

SRTM DEM, with a spatial resolution of 30 m. A total of 5 scenes are involved

Rainfall

http://data.cma.cn/

The average annual precipitation year by year from 2015 to 2020

Geological data

www.ngac.org.cn/

Geological map on a scale of 1:500,000

PAG

https://www.cea.gov.cn/

Seismic ground motion peak acceleration zoning map of China

Demographic data

https://www.hongheiku.com/

Data of the seventh national census of China

Nightlight data

https://www.ngdc.noaa.gov/

NPP-VIIRS nighttime light data

Historical landslide inventory

Detailed survey results of geological hazards in Sichuan Province

Provided by Sichuan Institute of Geological Survey.

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