https://github.com/remotesensinginfo/arcsi
Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.
https://github.com/remotesensinginfo/arcsi
analysis-ready-data arcsi atmospheric-correction cloud-masking earth earth-observation observation python remote remote-sensing rsgislib sensing
Last synced: 5 months ago
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Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others.
- Host: GitHub
- URL: https://github.com/remotesensinginfo/arcsi
- Owner: remotesensinginfo
- License: gpl-3.0
- Created: 2020-04-06T20:23:00.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-07-28T16:12:25.000Z (about 1 year ago)
- Last Synced: 2024-09-24T23:35:00.174Z (about 1 year ago)
- Topics: analysis-ready-data, arcsi, atmospheric-correction, cloud-masking, earth, earth-observation, observation, python, remote, remote-sensing, rsgislib, sensing
- Language: Python
- Homepage: https://arcsi.remotesensing.info
- Size: 14.2 MB
- Stars: 33
- Watchers: 5
- Forks: 15
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-earthobservation-code - ARCSI - Software to automate the production of optical analysis ready data (ARD) from Landsat, Sentinel-2 and others (Remote Sensing.info)
README
# README #
The Atmospheric and Radiometric Correction of Satellite Imagery (ARCSI) software provides a command line tool for the atmospheric correction of Earth Observation imagery. The aim of ARCSI is to provide as automatic as possible method of retrieving the atmospheric correction parameters and using them to parameterise 6S.
To install ARCSI to the default location, the following command is to be used from within the ARCSI source directory:
``
pip install .
``
if you want to install into another location using the --prefix option.
``
pip install . --prefix=/to/install/path
``
To run ARCSI you need up to date versions of:
* RSGISLib
* KEALib
* GDAL
* RIOS
* Py6S
* 6S
## How to use ##
Information is provided on the website (http://remotesensing.info/arcsi/) including some tutorials.
## Need support? ##
If you need support using ARCSI or think you've found a bug please email us on rsgislib-support@googlegroups.com.
## Contribution guidelines ##
If you would like to contribute to the library with bug fixes or new functionality (e.g. new sensors) please fork the repository and send a pull request. Or email me Dr Pete Bunting (pfb@aber.ac.uk).