A python package to cross calibrate ResourceSat 2 sensors like LISS III, AWiFS or LISS IV.
Project description
cross_cal_resourcesat
Introduction
This code module applies a simple cross calibration on LISS III and AWiFS to calibrate them 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
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 Note: Please make sure that both input and reference image have the same projection system. If not, please reproject the input.
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
.
The reprojection too is bit sketchy at the moment (defaults to EPSG: 32643
). Will be fixed shortly.
Credits
This package was created with Cookiecutter and the giswqs/pypackage project template.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for cross_cal_resourcesat-0.1.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5e5783177ff1230804c2eaf0904d79f681f15c8e7dcd15b7fe4c5df1b33a133b |
|
MD5 | c435193da922175bc839d4cd139cfd66 |
|
BLAKE2b-256 | a2bc601d170c9a4ff5e8642be3a5aef3d4dfcc02bcf4b0019deffd7030e00883 |
Hashes for cross_cal_resourcesat-0.1.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 759c65c433d996d5acdc7f8b204004c779839eba67278be5b1e16a70864be80e |
|
MD5 | e14825274c10cd62f646f54ea4cc2d37 |
|
BLAKE2b-256 | 724678c074ad32ec1c4079903b64e6d9dbe8f3983361b0282fefa8e82c38ae30 |