Create rasters from SMAP data in Python

Matt Oakley, Zach Schira

The National Snow and Ice Data Center hosts soil moisture data (from the NASA Soil Moisture Active Passive project, described here, and hereafter referred to as SMAP) which is provided in Several different formats.

Note: this tutorial has been deprecated

For accessing SMAP data with python, we recommend the smap_io library.

Updated:

Leave a Comment

You May Also Enjoy

Plot Data With Matplotlib

1 minute read

This Week

Calculate Seasonal Summary Values from Climate Data Variables Stored in NetCDF 4 Format: Work With MACA v2 Climate Data in Python

26 minute read

Learn how to calculate seasonal summary values for MACA 2 climate data using xarray and region mask in open source Python.

Calculate Summary Values Using Spatial Areas of Interest (AOIs) including Shapefiles for Climate Data Variables Stored in NetCDF 4 Format: Work With MACA v2 Climate Data in Python

32 minute read

Climate datasets stored in netcdf 4 format often cover the entire globe or an entire country. Learn how to subset climate data spatially and by time slices u...

How to Open and Process NetCDF 4 Data Format in Open Source Python

26 minute read

Historic and projected climate data are most often stored in netcdf 4 format. Learn how to open and process MACA version 2 climate data for the Continental U...