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Geoenvironmental Disasters

Table 1 List of data sources used in this study

From: Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques

Data

Source

Remarks

Flood maps

Sentinel-1 data

Sentinel-2 data

Resolution: 100 m

Soil parameters (depth, particle size and texture)

NBSS & LUP

Vector data

Precipitation

CHIRPS

Resolution: 5 km

Elevation, slope, aspect, terrain ruggedness index (TRI), topographic wetness index (TWI), drainage network distance to drainage, and drainage density

Flow accumulation

Derived using SRTM-DEM

Resolution of SRTM-DEM data: 90 m

Land use land cover (LULC)

ESRI

Resolution: 10 m

Tree canopy cover (TCC) percentage

Hansen et al. (2013)

Resolution: 30 m

  1. Note: All data was resampled at 1 km spatial resolution for modeling. The vector data was converted into raster data with a pixel size of 1 km
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