I am using ERDAS, and the autonomous atmospheric correction tool does not support the Landsat 8 sensor. Return to Landsat Science Products OverviewSurface reflectance improves comparison between multiple images over the same region by accounting for atmospheric effects such as aerosol scattering and thin clouds, which can help in the detection and characterization of Earth surface change.
Landsat 8 Surface Reflectance Tutorial for Free QGIS Software (Course 2A) IMPORTANT: We now recommend using QGIS Version 3 (can be downloaded from this website here) because it can produce a raster attribute table for atmospheric correction, then applying the Frequency 50 - .008 Method for starting scatter in Step 17 below. Atmospheric correction is the process of removing the effects of the atmosphere on the reflectance values of images taken by satellite or airborne sensors .Atmospheric effects in optical remote sensing are significant and complex, dramatically altering the spectral nature of the radiation reaching the remote sensor .There are various approaches and techniques to conducting atmospheric correction Atmospheric correction. This atmospheric correction method uses MODIS MCD43 BRDF product to get a coarse resolution simulation of earth surface. A sensor invariant Atmospheric Correction (SIAC) Feng Yin Department of Geography, UCL ucfafyi@ucl.ac.uk. A model based on MODIS PSF is built to deal with the scale differences between MODIS and Sentinel 2 / Landsat 8. Radiance values can be converted to reflectance values in undergoing an atmospheric correction by applying the algorithm available in i.atcorr. This atmospheric correction method uses MODIS MCD43 BRDF product to get a coarse resolution simulation of earth surface.

--- For LANDSAT only --- USGS provide the Landsat Bulk Metadata Service web page where is possible to extract metadata (included overpass time) for all the Landsat missions. Algorithm Overview. 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. The Operational Land Imager (OLI) onboard Landsat-8 satellite can provide remote sensing reflectance (R rs) of aquatic environments with high spatial resolution (30 m), allowing for benthic habitat mapping and monitoring of bathymetry and water column optical properties.To facilitate these applications, accurate sensor-derived R rs is required.

Surface reflectance is generated from Level-1 inputs that meet the A model based on MODIS PSF is built to deal with the scale differences between MODIS and Sentinel 2 / Landsat 8.

Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters L. De Keukelaere a , S. Sterckx , S. Adriaensen , E. Knaeps , I. Reusen a , C. Giardino b , M. Bresciani b , P. Hunter c , our atmospheric correction algorithm allows one to use Landsat 8 to study Case 2 waters as an alternativ e to heritage o cean color satellites.