I need to perform an atmospheric correction for Landsat-8 data and can't find a solution.
There is a very limited amount of information dealing with L8-correction methods in a comprehensive way, that's why I created this post.
There's some existing questions here on StackExchange dealing with details related to this post but they are outdated. E.g: "how can i correct atmospherically Landsat 8 images?" considers
i.atcorr as a solution which doesn't work anymore (see below). The answers to "How to atmospherically correct Landsat 8 data?" deal with single image Dark Object Subtraction which is not suitable due to reasons given below. (Sorry for not providing direct links, StackExchange prohibits this for new users)
So far I have tried:
- ATCOR toolbox in ERDAS - costs a lot of money and, having worked with it for several years, I'm not content with it's performance
- i.atcorr in Grass 6.4 does not support Landsat-8
- i.atcorr in Grass 7.0.3 does not work
- i.landsat.atcorr does not work and is not updated anymore
- ESPA-SR is very complex and I fail to set it up properly or run any commands. github.com/USGS-EROS/espa-surface-reflectance
- Dark Object Substraction is not feasible for a large amount of scences (as it requires user interaction) and has a questinable performance
Does anybody have other suggestions or solutions?#
Edit/Update: A relevant post: Open Source Alternatives to ERDAS IMAGINE ATCOR?