Datasets:

srutiparna
/

Data-Source

license: cc-by-4.0
task_categories:
  - feature-extraction
pretty_name: Data-Source
size_categories:
  - 1M<n<10M
tags:
  - geospatial
  - remote-sensing
  - spatial-analysis
  - benchmarking

This repository contains the dataset used in our work. The dataset has been prepared for thee following Indian statese :

Sikkim
Uttarakhand
Karnataka

The final output is a multi-modal dataset containing terrain, spectral, and texture-based features extracted from satellite data, along with manually annotated landslide zones for training machine learning models.

Structure of the ML Ready Dataset

Each ZIP archive corresponds to a single state and contains multi-modal data derived from remote sensing sources, including:

Raw Sentinel-2 image tiles
Digital Elevation Model (DEM) data
GLCM-based texture features
Spectral index feature maps
Spatial subsets
Manually annotated landslide regions