Articles | Volume 7, issue 3
https://doi.org/10.5194/amt-7-799-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-799-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Mar 2014
Research article |
| 28 Mar 2014
Probabilistic approach to cloud and snow detection on Advanced Very High Resolution Radiometer (AVHRR) imagery
J. P. Musial
Geographisches Institut der Universität Bern (GIUB), 3012 Bern, Switzerland
Oescher-Zentrum für Klimaforschung, Universität Bern, Zähringerstrasse 25, 3012, Bern, Switzerland
currently at: the Remote Sensing Department, Institute of Geodesy and Cartography, Modzelewskiego 27, 02-679 Warsaw, Poland
F. Hüsler
Geographisches Institut der Universität Bern (GIUB), 3012 Bern, Switzerland
Oescher-Zentrum für Klimaforschung, Universität Bern, Zähringerstrasse 25, 3012, Bern, Switzerland
M. Sütterlin
Geographisches Institut der Universität Bern (GIUB), 3012 Bern, Switzerland
Oescher-Zentrum für Klimaforschung, Universität Bern, Zähringerstrasse 25, 3012, Bern, Switzerland
C. Neuhaus
Geographisches Institut der Universität Bern (GIUB), 3012 Bern, Switzerland
Oescher-Zentrum für Klimaforschung, Universität Bern, Zähringerstrasse 25, 3012, Bern, Switzerland
S. Wunderle
Geographisches Institut der Universität Bern (GIUB), 3012 Bern, Switzerland
Oescher-Zentrum für Klimaforschung, Universität Bern, Zähringerstrasse 25, 3012, Bern, Switzerland
Viewed
Total article views: 4,896 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Sep 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,378 | 2,323 | 195 | 4,896 | 240 | 286 |
- HTML: 2,378
- PDF: 2,323
- XML: 195
- Total: 4,896
- BibTeX: 240
- EndNote: 286
Total article views: 4,129 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Mar 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,071 | 1,885 | 173 | 4,129 | 227 | 274 |
- HTML: 2,071
- PDF: 1,885
- XML: 173
- Total: 4,129
- BibTeX: 227
- EndNote: 274
Total article views: 767 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Sep 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 307 | 438 | 22 | 767 | 13 | 12 |
- HTML: 307
- PDF: 438
- XML: 22
- Total: 767
- BibTeX: 13
- EndNote: 12
Cited
26 citations as recorded by crossref.
- Cross-Domain Ground-Based Cloud Classification Based on Transfer of Local Features and Discriminative Metric Learning Z. Zhang et al. https://doi.org/10.3390/rs10010008
- Improving shadows detection for solar radiation numerical models F. Díaz et al. https://doi.org/10.1016/j.amc.2017.01.046
- Spring Temperature and Snow Cover Climatology Drive the Advanced Springtime Phenology (1991–2014) in the European Alps J. Xie et al. https://doi.org/10.1029/2020JG006150
- A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection X. Wu et al. https://doi.org/10.1016/j.isprsjprs.2021.01.023
- Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications R. Stöckli et al. https://doi.org/10.3390/rs11091052
- MODIS-Based AVHRR Cloud and Snow Separation Algorithm J. Villaescusa-Nadal et al. https://doi.org/10.1109/TGRS.2021.3059428
- Impact of AVHRR Channel 3b Noise on Climate Data Records: Filtering Method Applied to the CM SAF CLARA-A2 Data Record K. Karlsson et al. https://doi.org/10.3390/rs9060568
- Detection of Snow Cover from Historical and Recent AVHHR Data—A Thematic TIMELINE Processor S. Rößler & A. Dietz https://doi.org/10.3390/geomatics2010009
- Daytime Low Stratiform Cloud Detection on AVHRR Imagery J. Musial et al. https://doi.org/10.3390/rs6065124
- Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. https://doi.org/10.1016/j.rse.2018.04.019
- Lake Surface Water Temperature Derived from 35 Years of AVHRR Sensor Data for European Lakes G. Lieberherr & S. Wunderle https://doi.org/10.3390/rs10070990
- Correction of CCI cloud data over the Swiss Alps using ground-based radiation measurements F. Jeanneret et al. https://doi.org/10.5194/amt-11-4153-2018
- Specific Features of the Land-Sea Contrast of Cloud Liquid Water Path in Northern Europe as Obtained from the Observations by the SEVIRI Instrument: Artefacts or Reality? V. Kostsov & D. Ionov https://doi.org/10.3390/meteorology2040027
- Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms J. Musial & J. Bojanowski https://doi.org/10.3390/rs14020378
- Albedo and reflectance anisotropy retrieval from AVHRR operated onboard NOAA and MetOp satellites: Algorithm performance and accuracy assessment for Europe M. Sütterlin et al. https://doi.org/10.1016/j.rse.2015.06.023
- Advancing the uncertainty characterisation of cloud masking in passive satellite imagery: Probabilistic formulations for NOAA AVHRR data K. Karlsson et al. https://doi.org/10.1016/j.rse.2014.10.028
- The Use of a Convolutional Neural Network for Detecting Snow According to the Data of the Multichannel Satellite Device of Meteor-M No.2 Spacecraft L. Kramareva et al. https://doi.org/10.1016/j.procs.2019.02.065
- Probabilistic Cloud Masking for the Generation of CM SAF Cloud Climate Data Records from AVHRR and SEVIRI Sensors K. Karlsson et al. https://doi.org/10.3390/rs12040713
- The Impact of Time Difference between Satellite Overpass and Ground Observation on Cloud Cover Performance Statistics J. Bojanowski et al. https://doi.org/10.3390/rs61212866
- MODIS probabilistic cloud masking over the Amazonian evergreen tropical forests: a comparison of machine learning-based methods J. Gomis-Cebolla et al. https://doi.org/10.1080/01431161.2019.1637963
- Subgroup detection in genotype data using invariant coordinate selection D. Fischer et al. https://doi.org/10.1186/s12859-017-1589-9
- Lake ice phenology from AVHRR data for European lakes: An automated two-step extraction method H. Weber et al. https://doi.org/10.1016/j.rse.2015.12.014
- Cross-comparison of cloud liquid water path derived from observations by two space-borne and one ground-based instrument in northern Europe V. Kostsov et al. https://doi.org/10.5194/amt-12-5927-2019
- Dissecting effects of orbital drift of polar-orbiting satellites on accuracy and trends of climate data records of cloud fractional cover J. Bojanowski & J. Musiał https://doi.org/10.5194/amt-13-6771-2020
- Detection of the cloud liquid water path horizontal inhomogeneity in a coastline area by means of ground-based microwave observations: feasibility study V. Kostsov et al. https://doi.org/10.5194/amt-13-4565-2020
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. https://doi.org/10.3390/rs16142578
26 citations as recorded by crossref.
- Cross-Domain Ground-Based Cloud Classification Based on Transfer of Local Features and Discriminative Metric Learning Z. Zhang et al. https://doi.org/10.3390/rs10010008
- Improving shadows detection for solar radiation numerical models F. Díaz et al. https://doi.org/10.1016/j.amc.2017.01.046
- Spring Temperature and Snow Cover Climatology Drive the Advanced Springtime Phenology (1991–2014) in the European Alps J. Xie et al. https://doi.org/10.1029/2020JG006150
- A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection X. Wu et al. https://doi.org/10.1016/j.isprsjprs.2021.01.023
- Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications R. Stöckli et al. https://doi.org/10.3390/rs11091052
- MODIS-Based AVHRR Cloud and Snow Separation Algorithm J. Villaescusa-Nadal et al. https://doi.org/10.1109/TGRS.2021.3059428
- Impact of AVHRR Channel 3b Noise on Climate Data Records: Filtering Method Applied to the CM SAF CLARA-A2 Data Record K. Karlsson et al. https://doi.org/10.3390/rs9060568
- Detection of Snow Cover from Historical and Recent AVHHR Data—A Thematic TIMELINE Processor S. Rößler & A. Dietz https://doi.org/10.3390/geomatics2010009
- Daytime Low Stratiform Cloud Detection on AVHRR Imagery J. Musial et al. https://doi.org/10.3390/rs6065124
- Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. https://doi.org/10.1016/j.rse.2018.04.019
- Lake Surface Water Temperature Derived from 35 Years of AVHRR Sensor Data for European Lakes G. Lieberherr & S. Wunderle https://doi.org/10.3390/rs10070990
- Correction of CCI cloud data over the Swiss Alps using ground-based radiation measurements F. Jeanneret et al. https://doi.org/10.5194/amt-11-4153-2018
- Specific Features of the Land-Sea Contrast of Cloud Liquid Water Path in Northern Europe as Obtained from the Observations by the SEVIRI Instrument: Artefacts or Reality? V. Kostsov & D. Ionov https://doi.org/10.3390/meteorology2040027
- Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms J. Musial & J. Bojanowski https://doi.org/10.3390/rs14020378
- Albedo and reflectance anisotropy retrieval from AVHRR operated onboard NOAA and MetOp satellites: Algorithm performance and accuracy assessment for Europe M. Sütterlin et al. https://doi.org/10.1016/j.rse.2015.06.023
- Advancing the uncertainty characterisation of cloud masking in passive satellite imagery: Probabilistic formulations for NOAA AVHRR data K. Karlsson et al. https://doi.org/10.1016/j.rse.2014.10.028
- The Use of a Convolutional Neural Network for Detecting Snow According to the Data of the Multichannel Satellite Device of Meteor-M No.2 Spacecraft L. Kramareva et al. https://doi.org/10.1016/j.procs.2019.02.065
- Probabilistic Cloud Masking for the Generation of CM SAF Cloud Climate Data Records from AVHRR and SEVIRI Sensors K. Karlsson et al. https://doi.org/10.3390/rs12040713
- The Impact of Time Difference between Satellite Overpass and Ground Observation on Cloud Cover Performance Statistics J. Bojanowski et al. https://doi.org/10.3390/rs61212866
- MODIS probabilistic cloud masking over the Amazonian evergreen tropical forests: a comparison of machine learning-based methods J. Gomis-Cebolla et al. https://doi.org/10.1080/01431161.2019.1637963
- Subgroup detection in genotype data using invariant coordinate selection D. Fischer et al. https://doi.org/10.1186/s12859-017-1589-9
- Lake ice phenology from AVHRR data for European lakes: An automated two-step extraction method H. Weber et al. https://doi.org/10.1016/j.rse.2015.12.014
- Cross-comparison of cloud liquid water path derived from observations by two space-borne and one ground-based instrument in northern Europe V. Kostsov et al. https://doi.org/10.5194/amt-12-5927-2019
- Dissecting effects of orbital drift of polar-orbiting satellites on accuracy and trends of climate data records of cloud fractional cover J. Bojanowski & J. Musiał https://doi.org/10.5194/amt-13-6771-2020
- Detection of the cloud liquid water path horizontal inhomogeneity in a coastline area by means of ground-based microwave observations: feasibility study V. Kostsov et al. https://doi.org/10.5194/amt-13-4565-2020
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. https://doi.org/10.3390/rs16142578
Saved (final revised paper)
Latest update: 20 Oct 2026
