erdas-imaginelandsat 8remote sensing
I am attempting to run some classification on Landsat 8 imagery, however, I need to perform atmospheric correction on the images in order to reveal true spectral signatures. I am using ERDAS, and the autonomous atmospheric correction tool does not support the Landsat 8 sensor. Unfortunately, I do not have access to ENVI which supports landsat 8, or a licence to ATCOR, which seems to be a ERDAS add on for atmospheric correction.
Any Ideas?
QUAC determines atmospheric correction parameters directly from the observed pixel spectra in a scene. Generally producing reflectance spectra within +/-15% of the other methods. Check the histogram and the data type of your image (float, 8 bits, etc). What was your problem with NDVI?
you could also check the Atmospheric and Radiometric Correction of Satellite Imagery (ARCSI) Python library, which supports a range of sensors, including Landsat 4,5,7 and 8.
To complement the comments below, there is a very clear tutorial available here and a comprehensive introduction & tutorial written by the author here
Best Answer
You will need to upgrade to Erdas 2013 where ATCOR supports the Landsat-8 OLI sensor. There is a supporting document here which provides specific details.
You may also be interested in the following thread: Open Source Alternatives to Erdas ATCOR.