A python package to cross calibrate ResourceSat 2 sensors like LISS III, AWiFS or LISS IV.
Project description
cross_cal_resourcesat
Introduction
This package applies a cross calibrates LISS III and AWiFS with the help of a reference image like Landsat 8 and Sentinel 2.
Takes two inputs:
inpf_liss
= path to folder LISS III or AWiFS bandsinpf_ref
= path to folder containing reference image bands. Could be Landsat 8 or Sentinel 2.
Final output folder:
inpf_liss\Reflectance\Calibration
Four temporary images are also generated which are automatically deleted after the execution. These are two composite images, one resampled image, and one clipped image
Package information
A python package to cross calibrate ResourceSat 2 sensors like LISS III, AWiFS or LISS IV.
- Github repo: https://github.com/akhi9661/cross_cal_resourcesat
- PypI: https://pypi.org/project/cross-cal-resourcesat/
- Free software: MIT license
- Documentation: https://akhi9661.github.io/cross_cal_resourcesat
Note: At the moment, if reference_sensor = 'Landsat 8'
, path to reflectance images will have to provided in inpf_ref
.
How to use
- Clone the repository in the desired folder.
git clone https://github.com/akhi9661/cross_cal_resourcesat.git
In case this fails, download the zip file and extract it in a folder.
- Install the required dependencies.
pip install -r requirements.txt
If it throws up an error, create a new virtual environment and install the dependencies. Installation of GDAL
and rasterio
is complex and generally fails in the base environment or an already existing environment. Creating a new virtual environment generally resolves this.
Credits
This package was created with Cookiecutter and the giswqs/pypackage project template.
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