This release brings the binary release up to date with the past 2 years of GitHub fixes and aligns processing options with those presented in this paper.
Download the latest version here. Further details in the ACOLITE manual.
Updates since 20190326.0:
- Update to latest GitHub code
- Added options to remove SWIR bands from aerosol fitting
- Added OSOAA based sky reflectance correction
- Fixed GUI ancillary download issue
- Processing from the Windows GUI can now also be interrupted
- Added options to delete NetCDF files that are produced
- Added support for Collection 2 Landsat 8 data
Vanhellemont, Q., & Ruddick, K. (2018). Atmospheric correction of metre-scale optical satellite data for inland and coastal water applications. Remote Sensing of Environment, 216, 586-597. Open Access: https://doi.org/10.1016/j.rse.2018.07.015
Vanhellemont, Q., 2019. Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives. Remote Sensing of Environment 225, 175–192. Open Access: https://doi.org/10.1016/j.rse.2019.03.010
Vanhellemont, Q., 2020. Sensitivity analysis of the dark spectrum fitting atmospheric correction for metre-and decametre-scale satellite imagery using autonomous hyperspectral radiometry. Optics Express, 28(20), pp.29948-29965. Open Access: https://doi.org/10.1364/OE.397456