swesarr-pytools 0.1.4

Library for data retrieval and manipulation of swesarr data for the NASA database.

swesarr_pytools

Library for data retrieval and manipulation of swesarr data for the NASA database. swesarr_pytool is a python library created for easy data retrieval and manipulation swesarr data for the NASA database.

The Snow Water Equivalent Synthetic Aperture Radar and Radiometer (SWESARR) is a Tri-Frequency Radar and Radiometer instrument designed to measure the water content in a snowpack. The instrument, developed at NASA’s Goddard Space Flight Center, uses active and passive microwave sensors to map the radio frequency emissions of the snowpack, which can then be turned into a measurement of snow water equivalent.

SWESARR has three active (including a dual Ku band) and three passive bands. Radar data is collected in dual polarization (VV, VH) while the radiometer makes single polarization (H) observations.

• Free software: MIT License
• Documentation: https://eviofekeze.github.io/swesarr_pytools

Features

To install the package simple run

pip install swesarr_pytool

Usage

Accessing metadata

The package provide a functionality to retrieve available SWESARR flight paths and flight date, additionally flight path or list of flight path within a date range can be retrieved if such flight path exist

from swesarr_pytools.access_swesarr import AccessSwesarr
from datetime import date


#Instantiate the Access Object
meta_object = AccessSwesarr()

#Retrieve meta
swesarr_metadata = meta_object.data_meta

#Retrieve flight path
flight_paths = meta_object.flight_names

#Retrieve flight date
flight_dates = meta_object.flight_dates

#search for flight within a date range
available_dates = meta_object.available_date_within_range(start_date=date(2019, 1, 1),
                                               end_date=date(2019, 12, 31))

Data Manipulation

The package also provides additional functionality for;

• Reading a raster, Lidar and SWESARR
• Converting these to Dataframe
• Combining Fall and Winter SWESARR flights into one data frame for analysis Please see the notebook directory for additional examples