Articles | Volume 7, issue 2
https://doi.org/10.5194/amt-7-637-2014
© 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-7-637-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Feb 2014
Research article |
| 24 Feb 2014
Ground-based all-sky mid-infrared and visible imagery for purposes of characterizing cloud properties
D. I. Klebe
Denver Museum of Nature and Science, Denver, Colorado, USA
Solmirus Corporation, Woodland Park, Colorado, USA
R. D. Blatherwick
University of Denver, Denver, Colorado, USA
Solmirus Corporation, Woodland Park, Colorado, USA
V. R. Morris
Pacific Northwest National Laboratory, Richland, Washington, USA
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Cited
37 citations as recorded by crossref.
- CloudU-Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images’ Segmentation C. Shi et al. https://doi.org/10.1109/LGRS.2020.3009227
- Comparison of Cloud Base Height Derived from a Ground-Based Infrared Cloud Measurement and Two Ceilometers L. Liu et al. https://doi.org/10.1155/2015/853861
- An RGB channel operation for removal of the difference of atmospheric scattering and its application on total sky cloud detection J. Yang et al. https://doi.org/10.5194/amt-10-1191-2017
- Nighttime cloud cover from multi-site observations and its relationships with ground- and satellite-based measurements N. Lagrosas et al. https://doi.org/10.1016/j.atmosres.2026.108823
- Synergy of Traditional Techniques and Convolutional Neural Networks for Classification of Cloudless Conditions by All-Sky Imagers Š. Mackovjak et al. https://doi.org/10.1088/1538-3873/adca59
- Infrared radiometric image classification and segmentation of cloud structures using a deep-learning framework from ground-based infrared thermal camera observations K. Sommer et al. https://doi.org/10.5194/amt-18-2083-2025
- Atmospheric effects in astroparticle physics experiments and the challenge of ever greater precision in measurements K. Louedec https://doi.org/10.1016/j.astropartphys.2014.05.011
- CloudU-Netv2: A Cloud Segmentation Method for Ground-Based Cloud Images Based on Deep Learning C. Shi et al. https://doi.org/10.1007/s11063-021-10457-2
- Fog Measurements with IR Whole Sky Imager and Doppler Lidar, Combined with In Situ Instruments A. Ronen et al. https://doi.org/10.3390/rs13163320
- A Novel Ground-Based Cloud Image Segmentation Method Based on a Multibranch Asymmetric Convolution Module and Attention Mechanism L. Zhang et al. https://doi.org/10.3390/rs14163970
- A novel approach for the extraction of cloud motion vectors using airglow imager measurements S. Satheesh Kumar et al. https://doi.org/10.5194/amt-8-3893-2015
- An automated cloud detection method based on the green channel of total-sky visible images J. Yang et al. https://doi.org/10.5194/amt-8-4671-2015
- Monitoring cloud parameters using a ground- based airglow imager R. Ghodpage et al. https://doi.org/10.1080/2150704X.2023.2247520
- Cloud fraction determined by thermal infrared and visible all-sky cameras C. Aebi et al. https://doi.org/10.5194/amt-11-5549-2018
- Ground-based detection of nighttime clouds above Manila Observatory (1464°N, 12107°E) using a digital camera G. Gacal et al. https://doi.org/10.1364/AO.55.006040
- Cloud Observation and Cloud Cover Calculation at Nighttime Using the Automatic Cloud Observation System (ACOS) Package B. Kim & J. Cha https://doi.org/10.3390/rs12142314
- Cloud Identification and Reconstruction from All-sky Camera Images Based on Star Photometry Estimation H. Zhi 支 et al. https://doi.org/10.1088/1538-3873/ad2867
- Climatology and changes in cloud cover in the area of the Black, Caspian, and Aral seas (1991–2010): a comparison of surface observations with satellite and reanalysis products J. Calbó et al. https://doi.org/10.1002/joc.4435
- StarDICE II: Calibration of an Uncooled Infrared Thermal Camera for Atmospheric Gray Extinction Characterization K. Sommer et al. https://doi.org/10.3390/s24144498
- Observations of Nighttime Clouds Over Chiba, Japan, Using Digital Cameras and Satellite Images N. Lagrosas et al. https://doi.org/10.1029/2021JD034772
- Reflective all-sky thermal infrared cloud imager B. Redman et al. https://doi.org/10.1364/OE.26.011276
- Ground-based assessment of INSAT-3D cloud mask performance and Evaluation of cloud fraction characteristics over India: regional variability, periodicities and aerosol associations S. Sunil et al. https://doi.org/10.1080/01431161.2026.2679163
- Development of a sky imaging system for short-term solar power forecasting B. Urquhart et al. https://doi.org/10.5194/amt-8-875-2015
- Angular Calibration of Visible and Infrared Binocular All-Sky-View Cameras Using Sun Positions W. Xie et al. https://doi.org/10.3390/rs13132455
- Analyzing of Cloud Macroscopic Characteristics in the Shigatse Area of the Tibetan Plateau Using the Total-Sky Images J. Yang et al. https://doi.org/10.1175/JAMC-D-18-0095.1
- Diurnal (24 h) cycle and seasonal variability of cloud fraction retrieved from a Whole Sky Imager over a complex terrain in the Western Ghats and comparison with MODIS S. Sunil et al. https://doi.org/10.1016/j.atmosres.2020.105180
- Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera Y. Wang et al. https://doi.org/10.3390/rs13091852
- Terabit-per-Second Satellite Links: a Path Toward Ubiquitous Terahertz Communication J. Suen https://doi.org/10.1007/s10762-016-0257-x
- Atmospheric cloud algorithms for day/night whole sky imagers J. Shields et al. https://doi.org/10.1364/AO.58.007050
- A total sky cloud detection method using real clear sky background J. Yang et al. https://doi.org/10.5194/amt-9-587-2016
- Assessment of Nighttime Cloud Cover Products from MODIS and Himawari-8 Data with Ground-Based Camera Observations N. Lagrosas et al. https://doi.org/10.3390/rs14040960
- Trends of night-time hourly cloud-cover values over Manila Observatory: ground-based remote-sensing observations using a digital camera for 13 months G. Gacal et al. https://doi.org/10.1080/01431161.2018.1475776
- Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks C. Shi et al. https://doi.org/10.5194/amt-12-4713-2019
- A Review of Environmental Context Detection for Navigation Based on Multiple Sensors F. Feriol et al. https://doi.org/10.3390/s20164532
- Precipitable water vapor retrievals using a ground-based infrared sky camera in subtropical South America E. Hack et al. https://doi.org/10.5194/amt-16-1263-2023
- A cloud detection algorithm using the downwelling infrared radiance measured by an infrared pyrometer of the ground-based microwave radiometer M. Ahn et al. https://doi.org/10.5194/amt-8-553-2015
- Cloud-Base Height Derived from a Ground-Based Infrared Sensor and a Comparison with a Collocated Cloud Radar Z. Wang et al. https://doi.org/10.1175/JTECH-D-17-0107.1
37 citations as recorded by crossref.
- CloudU-Net: A Deep Convolutional Neural Network Architecture for Daytime and Nighttime Cloud Images’ Segmentation C. Shi et al. https://doi.org/10.1109/LGRS.2020.3009227
- Comparison of Cloud Base Height Derived from a Ground-Based Infrared Cloud Measurement and Two Ceilometers L. Liu et al. https://doi.org/10.1155/2015/853861
- An RGB channel operation for removal of the difference of atmospheric scattering and its application on total sky cloud detection J. Yang et al. https://doi.org/10.5194/amt-10-1191-2017
- Nighttime cloud cover from multi-site observations and its relationships with ground- and satellite-based measurements N. Lagrosas et al. https://doi.org/10.1016/j.atmosres.2026.108823
- Synergy of Traditional Techniques and Convolutional Neural Networks for Classification of Cloudless Conditions by All-Sky Imagers Š. Mackovjak et al. https://doi.org/10.1088/1538-3873/adca59
- Infrared radiometric image classification and segmentation of cloud structures using a deep-learning framework from ground-based infrared thermal camera observations K. Sommer et al. https://doi.org/10.5194/amt-18-2083-2025
- Atmospheric effects in astroparticle physics experiments and the challenge of ever greater precision in measurements K. Louedec https://doi.org/10.1016/j.astropartphys.2014.05.011
- CloudU-Netv2: A Cloud Segmentation Method for Ground-Based Cloud Images Based on Deep Learning C. Shi et al. https://doi.org/10.1007/s11063-021-10457-2
- Fog Measurements with IR Whole Sky Imager and Doppler Lidar, Combined with In Situ Instruments A. Ronen et al. https://doi.org/10.3390/rs13163320
- A Novel Ground-Based Cloud Image Segmentation Method Based on a Multibranch Asymmetric Convolution Module and Attention Mechanism L. Zhang et al. https://doi.org/10.3390/rs14163970
- A novel approach for the extraction of cloud motion vectors using airglow imager measurements S. Satheesh Kumar et al. https://doi.org/10.5194/amt-8-3893-2015
- An automated cloud detection method based on the green channel of total-sky visible images J. Yang et al. https://doi.org/10.5194/amt-8-4671-2015
- Monitoring cloud parameters using a ground- based airglow imager R. Ghodpage et al. https://doi.org/10.1080/2150704X.2023.2247520
- Cloud fraction determined by thermal infrared and visible all-sky cameras C. Aebi et al. https://doi.org/10.5194/amt-11-5549-2018
- Ground-based detection of nighttime clouds above Manila Observatory (1464°N, 12107°E) using a digital camera G. Gacal et al. https://doi.org/10.1364/AO.55.006040
- Cloud Observation and Cloud Cover Calculation at Nighttime Using the Automatic Cloud Observation System (ACOS) Package B. Kim & J. Cha https://doi.org/10.3390/rs12142314
- Cloud Identification and Reconstruction from All-sky Camera Images Based on Star Photometry Estimation H. Zhi 支 et al. https://doi.org/10.1088/1538-3873/ad2867
- Climatology and changes in cloud cover in the area of the Black, Caspian, and Aral seas (1991–2010): a comparison of surface observations with satellite and reanalysis products J. Calbó et al. https://doi.org/10.1002/joc.4435
- StarDICE II: Calibration of an Uncooled Infrared Thermal Camera for Atmospheric Gray Extinction Characterization K. Sommer et al. https://doi.org/10.3390/s24144498
- Observations of Nighttime Clouds Over Chiba, Japan, Using Digital Cameras and Satellite Images N. Lagrosas et al. https://doi.org/10.1029/2021JD034772
- Reflective all-sky thermal infrared cloud imager B. Redman et al. https://doi.org/10.1364/OE.26.011276
- Ground-based assessment of INSAT-3D cloud mask performance and Evaluation of cloud fraction characteristics over India: regional variability, periodicities and aerosol associations S. Sunil et al. https://doi.org/10.1080/01431161.2026.2679163
- Development of a sky imaging system for short-term solar power forecasting B. Urquhart et al. https://doi.org/10.5194/amt-8-875-2015
- Angular Calibration of Visible and Infrared Binocular All-Sky-View Cameras Using Sun Positions W. Xie et al. https://doi.org/10.3390/rs13132455
- Analyzing of Cloud Macroscopic Characteristics in the Shigatse Area of the Tibetan Plateau Using the Total-Sky Images J. Yang et al. https://doi.org/10.1175/JAMC-D-18-0095.1
- Diurnal (24 h) cycle and seasonal variability of cloud fraction retrieved from a Whole Sky Imager over a complex terrain in the Western Ghats and comparison with MODIS S. Sunil et al. https://doi.org/10.1016/j.atmosres.2020.105180
- Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera Y. Wang et al. https://doi.org/10.3390/rs13091852
- Terabit-per-Second Satellite Links: a Path Toward Ubiquitous Terahertz Communication J. Suen https://doi.org/10.1007/s10762-016-0257-x
- Atmospheric cloud algorithms for day/night whole sky imagers J. Shields et al. https://doi.org/10.1364/AO.58.007050
- A total sky cloud detection method using real clear sky background J. Yang et al. https://doi.org/10.5194/amt-9-587-2016
- Assessment of Nighttime Cloud Cover Products from MODIS and Himawari-8 Data with Ground-Based Camera Observations N. Lagrosas et al. https://doi.org/10.3390/rs14040960
- Trends of night-time hourly cloud-cover values over Manila Observatory: ground-based remote-sensing observations using a digital camera for 13 months G. Gacal et al. https://doi.org/10.1080/01431161.2018.1475776
- Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks C. Shi et al. https://doi.org/10.5194/amt-12-4713-2019
- A Review of Environmental Context Detection for Navigation Based on Multiple Sensors F. Feriol et al. https://doi.org/10.3390/s20164532
- Precipitable water vapor retrievals using a ground-based infrared sky camera in subtropical South America E. Hack et al. https://doi.org/10.5194/amt-16-1263-2023
- A cloud detection algorithm using the downwelling infrared radiance measured by an infrared pyrometer of the ground-based microwave radiometer M. Ahn et al. https://doi.org/10.5194/amt-8-553-2015
- Cloud-Base Height Derived from a Ground-Based Infrared Sensor and a Comparison with a Collocated Cloud Radar Z. Wang et al. https://doi.org/10.1175/JTECH-D-17-0107.1
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