Georadii (Georeferencing and Radiometric Toolkit for Airborne Imagery)

Overview

This package provides Python-based tools to handle airborne radiometric measurements. The development was aimed primarily for analyzing nadir-view all-sky camera data from NASA's Arctic Radiation-Cloud-Aerosol-Surface Interaction Experiment (ARCSIX). The tool also supports some data processing for Research Scanning Polarimeter (RSP) and Airborne Visible / Infrared Imaging Spectrometer (AVIRIS).

The tools included in this package is intended for the following workflow:

1. Raw data in image space (e.g., camera) -> Georeferenced data (lat/lon, viewing angle)

2. Georeferenced data (e.g., camera, RSP, AVIRIS, etc.)-> Gridded data

Installation

First, clone this repository:

git clone https://github.com/kenhira/georadii.git

Get into the directory:

cd georadii

It is recommended to create a virtual environment for this project.

conda create -n georadii python=3.11
conda activate georadii

This project requires the following packages:

• NumPy
• SciPy
• Matplotlib
• Cartopy
• NetCDF
• h5py
• astropy
• Pandas
• Scikit-image
• Rasterio
• pysolar
• OpenCV

You can run the bash file to install all the required packages:

bash install_packages.sh

Now you can install the package:

python3 -m pip install -e .

Usage

Please refer to the example code.