CMIX Processors
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Summary of cloud masking algorithms (L8: Landsat 8, S2: Sentinel-2):
Processors | Organization | Metodology | Spatial resolution, m | Temporality | Buffer for clouds | References |
ATCOR | DLR | Spectral tests | L8:30 S2:20 | Mono | 100 m | Richter & Schläpfer (2019a) |
CD-FCNN | University of Valencia | Machine learning | L8:30 S2:10,20,60 | Mono | No | Mateo-García et al., (2020), López-Puigdollers et al. (2021) |
Fmask 4.0 CCA | USGS | Spectral tests | L8:30 S2:20 | Mono | L8:90 m S2:60 m | Foga et al. (2017), Qiu et al. (2019), Zhu et al. (2015) |
FORCE | Humboldt-Universität zu Berlin, Trier University | Spectral tests + parallax (S2 only) | L8:30 S2:10 | Mono | 300 m | Frantz (2019), Frantz et al. (2018), Frantz et al. (2016), Zhu et al. (2015), Frantz et al. (2016), Zhu et al. (2015), Zhu & Woodcock (2012) |
IdePix | Brockmann Consult | Spectral tests | S2:20 | Mono | Not used (user defined) | IdePix ATBD |
InterSSIM | Sinergise | Machine learning + spatiotemporal context | S2:10 | Multi | 160 m | Puc & Žust (2019) |
LaSRC | NASA, University of Maryland | Spectral tests | L8:30 S2:10 | Mono | L8:150 m S2:50 m | Skakun et al. (2019), Skakun et al. (2021), Vermote et al. (2016) |
MAJA | CNES, CESBIO | Multi-temporal and spectral tests | S2:240 | Multi | 240 m | Hagolle et al. (2010), Hagolle et al. (2017) |
s2cloudless | Sinergise | Machine learning | S2:10 | Mono | 160 m | Zupanc (2017) |
sen2cor | ESA, Telespazio France | Spectral test + auxiliary data | S2:20 | Mono | No | Louis et al. (2016), Louis (2021) |