The image processing in this the same as in version 20150701.1, but there is an important fix for the fixed and per pixel variable methods.
The settings file is now a plain text file and can be edited without opening ACOLITE or can be generated procedurally. 32 and 64 bit versions are included for Windows and Linux. A Mac version is available, but is untested at our end.
Download the latest version here. Further details in the processing settings pdf.
Updates since 20150701.1:
- - Added KMZ output in advanced settings. These are zipped png+kml files in a equirectangular projection and can be used in Google Earth.
- fixed a bug where the selection of per-pixel or subscene epsilon would not actually make a difference
- checkboxes for individual parameters have been removed, enter all desired output parameters in the “Output parameters” box
- added the Nechad SPM algorithm using the 865 nm band
- added aliases for rtoa, rrc, rhow, and rhoam products, defaults are rhow_vnir and rhoam_nir for all visible and NIR water reflectances and NIR multi-scattering aerosol reflectance
- new settings file format (plain text file), old settings files can still be restored, but new settings files will be in text format. You can edit this settings file without launching ACOLITE, in your favourite text editor. A sample file can be found in Input/acolite_settings_defaults.cfg
- new 32 bit versions for Linux and Windows (IDL8.4)
- you can now launch the GUI specifying which settings file to restore, or restore and process a settings file without launching the GUI, by specifying the run keyword, or restore and process a settings file without launching the GUI, for a list of scenes (see settings pdf for details.)
Vanhellemont Q. & Ruddick K. (2014). Turbid wakes associated with offshore wind turbines observed with Landsat 8. Remote Sensing of Environment, Volume 145, pp. 105–115. Open Access: http://dx.doi.org/10.1016/j.rse.2014.01.009
Vanhellemont Q. & Ruddick K. (2015). Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8 Remote Sensing of Environment. Volume 161, pp. 89–106. Open Access: http://dx.doi.org/10.1016/j.rse.2015.02.007