Skip to content

Latest commit

 

History

History
31 lines (24 loc) · 748 Bytes

README.md

File metadata and controls

31 lines (24 loc) · 748 Bytes

Satellite_Big_Data_Scripts

Dependency Libraries:

For Scientific Data

  • gdal
  • pyhdf
  • netCDF4

For Numerical Computation

  • numpy
  • scipy
  • statsmodels
  • Shapely
  • pyproj

For visualization

  • matplotlib

The ipython notebook files are mainly scripts that automated data processing, data cleaning and data analysis of NASA satellite images, USGS cropland data layer. The python files are a workflow for running large scale satellite downscale numerical algorithm. just clone this repo and run app.py, then the workflow will be run. The code can also be adjusted with lots of flexibility