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.
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
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Cited
27 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. 10.3390/rs10010008
- Improving shadows detection for solar radiation numerical models F. Díaz et al. 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. 10.1029/2020JG006150
- A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection X. Wu et al. 10.1016/j.isprsjprs.2021.01.023
- Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications R. Stöckli et al. 10.3390/rs11091052
- MODIS-Based AVHRR Cloud and Snow Separation Algorithm J. Villaescusa-Nadal et al. 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. 10.3390/rs9060568
- Detection of Snow Cover from Historical and Recent AVHHR Data—A Thematic TIMELINE Processor S. Rößler & A. Dietz 10.3390/geomatics2010009
- Daytime Low Stratiform Cloud Detection on AVHRR Imagery J. Musial et al. 10.3390/rs6065124
- Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. 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 10.3390/rs10070990
- Correction of CCI cloud data over the Swiss Alps using ground-based radiation measurements F. Jeanneret et al. 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 10.3390/meteorology2040027
- Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms J. Musial & J. Bojanowski 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. 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. 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. 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. 10.3390/rs12040713
- The Impact of Time Difference between Satellite Overpass and Ground Observation on Cloud Cover Performance Statistics J. Bojanowski et al. 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. 10.1080/01431161.2019.1637963
- Subgroup detection in genotype data using invariant coordinate selection D. Fischer et al. 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. 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. 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 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. 10.5194/amt-13-4565-2020
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
- Daytime Low Stratiform Cloud Detection on AVHRR Imagery J. Musial et al. 10.3390/rs6065124
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. 10.3390/rs10010008
- Improving shadows detection for solar radiation numerical models F. Díaz et al. 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. 10.1029/2020JG006150
- A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection X. Wu et al. 10.1016/j.isprsjprs.2021.01.023
- Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications R. Stöckli et al. 10.3390/rs11091052
- MODIS-Based AVHRR Cloud and Snow Separation Algorithm J. Villaescusa-Nadal et al. 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. 10.3390/rs9060568
- Detection of Snow Cover from Historical and Recent AVHHR Data—A Thematic TIMELINE Processor S. Rößler & A. Dietz 10.3390/geomatics2010009
- Daytime Low Stratiform Cloud Detection on AVHRR Imagery J. Musial et al. 10.3390/rs6065124
- Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. 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 10.3390/rs10070990
- Correction of CCI cloud data over the Swiss Alps using ground-based radiation measurements F. Jeanneret et al. 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 10.3390/meteorology2040027
- Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms J. Musial & J. Bojanowski 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. 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. 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. 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. 10.3390/rs12040713
- The Impact of Time Difference between Satellite Overpass and Ground Observation on Cloud Cover Performance Statistics J. Bojanowski et al. 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. 10.1080/01431161.2019.1637963
- Subgroup detection in genotype data using invariant coordinate selection D. Fischer et al. 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. 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. 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 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. 10.5194/amt-13-4565-2020
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
1 citations as recorded by crossref.
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