Version 20211124.0 of ACOLITE was released on 2021-11-24.
Like the previous version this release uses the new generic Python codebase from https://github.com/acolite/acolite.
Updates for the upcoming Sentinel-2 file format (Processing Baseline 4.00) are now included. Processing of DESIS, HICO, HYPERION, and GF1/GF6 data is now supported. Some output parameter names have changed to reflect the calibration/year used, e.g. tur_nechad is now tur_nechad2009, tur_dogliotti is now tur_dogliotti2015.
Download the latest version and ACOLITE manual here.
References:
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., (2019a). 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. (2019b) Daily metre-scale mapping of water turbidity using CubeSat imagery. Optics Express, Vol. Vol. 27 Issue 20 pp. A1372–A1399. Open Access: https://doi.org/10.1364/OE.27.0A1372
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
Vanhellemont, Q., & Ruddick, K. (2021). Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters. Remote Sensing of Environment, 256, 112284. Open Access: https://doi.org/10.1016/j.rse.2021.112284