nasa-pace-data-reader 0.0.3.14

A package for reading NASA PACE data files.

NASA-PACE-Data-Reader

This repository hosts a Python package designed to read L1C files from NASA PACE instruments, including HARP2, SPEXone, and OCI. Future development plans include the addition of readers for L2 aerosol and surface products.

Installing the library from PyPi

To install the python library "nasa-pace-data-reader", follow these steps:

1. Open the command prompt or terminal.
2. Enter the command pip install nasa-pace-data-reader.
3. It is recommended to run this command in a separate pip or conda environment to prevent dependency conflicts.

Building and Uploading the Package (For package maintainers):

To build and upload the package, you can either run the sh Install.sh script (ensure to specify the correct version).

---

Example Usage:

Here is a simple example of how to use the package:

from nasa_pace_data_reader import L1    # Reader library
from nasa_pace_data_reader import plot  # Plotting library

# Location of the file
fileName = '/Users/aputhukkudy/Downloads/PACE_HARP2.20220321T101844.L1C.5.2KM.V03.SIM2.1_.nc'

# Read the file
l1c = L1.L1C()
l1c_dict = l1c.read(fileName)

# Print the keys and the shape of the data
[print('{:>24}: {}'.format(key, l1c_dict[key].shape)) for key in l1c_dict.keys()][0]

pixel = [250,300]

# Load the plot class
plt_ = plot.Plot(l1c_dict)

# Set the dpi
plt_.setDPI(256)

# set which band to plot
band = 'NIR'
plt_.setBand(band)

# Plot the pixel
plt_.plotPixel(pixel[0], pixel[1])

# define the wavelengths and variables to plot
plt_.setInstrument()

# plot all vars and bands
plt_.plotPixelVars(pixel[0], pixel[1])

# plot only specific bands and vars
plt_.vars2plot = ['i', 'q', 'u']    # Order in the list is the order of plotting
plt_.bands2plot = ['NIR', 'blue']   # Order in the list is the order of plotting

# plot 
plt_.plotPixelVars(pixel[0], pixel[1], bands= plt_.bands2plot, alpha=0.5, linewidth=0.5) # you can pass any other arguments to the plot function

# plot RGB image
# Load the plot class
plt_ = plot.Plot(l1c_dict)

# Plot RGB
plt_.plotRGB(scale=1, returnRGB=True)

# plot RGB in default plate carree projection
plt_.projectedRGB()

# plot RGB in Orthographic projection
plt_.projectedRGB(proj='Orthographic')

---

Change Log:

---

v0.0.3.14

• Added the ability to plot projected RGB using cartopy.
• Removed Basemap library from the dependencies