Cloud Identification, Cloud Type

Chapter Contents (Back)
Cloud Identification.

Brocard, E., Schneebeli, M., Matzler, C.,
Detection of Cirrus Clouds Using Infrared Radiometry,
GeoRS(49), No. 2, February 2011, pp. 595-602.

Ou, S.S.C., Kahn, B.H., Liou, K.N., Takano, Y., Schreier, M.M., Yue, Q.,
Retrieval of Cirrus Cloud Properties From the Atmospheric Infrared Sounder: The k-Coefficient Approach Using Cloud-Cleared Radiances as Input,
GeoRS(51), No. 2, February 2013, pp. 1010-1024.

Musial, J.P.[Jan Pawel], Hüsler, F.[Fabia], Sütterlin, M.[Melanie], Neuhaus, C.[Christoph], Wunderle, S.[Stefan],
Daytime Low Stratiform Cloud Detection on AVHRR Imagery,
RS(6), No. 6, 2014, pp. 5124-5150.
DOI Link 1407

Jin, W.[Wei], Wang, L.[Lei], Zeng, X.[Xingbin], Liu, Z.[Zhen], Fu, R.[Randi],
Classification of clouds in satellite imagery using over-complete dictionary via sparse representation,
PRL(49), No. 1, 2014, pp. 193-200.
Elsevier DOI 1410
Over-complete dictionary BibRef

Yanovsky, I., Davis, A.B.,
Separation of a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images,
GeoRS(53), No. 5, May 2015, pp. 2275-2285.
atmospheric techniques BibRef

Kovalskyy, V.[Valeriy], Roy, D.P.[David P.],
A One Year Landsat 8 Conterminous United States Study of Cirrus and Non-Cirrus Clouds,
RS(7), No. 1, 2015, pp. 564-578.
DOI Link 1502

Heidinger, A.K.[Andrew K.], Li, Y.[Yue], Baum, B.A.[Bryan A.], Holz, R.E.[Robert E.], Platnick, S.[Steven], Yang, P.[Ping],
Retrieval of Cirrus Cloud Optical Depth under Day and Night Conditions from MODIS Collection 6 Cloud Property Data,
RS(7), No. 6, 2015, pp. 7257.
DOI Link 1507

Romano, F.[Filomena], Cimini, D.[Domenico], Nilo, S.T.[Saverio T.], Paola, F.D.[Francesco Di], Ricciardelli, E.[Elisabetta], Ripepi, E.[Ermann], Viggiano, M.[Mariassunta],
The Role of Emissivity in the Detection of Arctic Night Clouds,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706

Ye, L.[Liang], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang],
DeepCloud: Ground-Based Cloud Image Categorization Using Deep Convolutional Features,
GeoRS(55), No. 10, October 2017, pp. 5729-5740.
cloud image feature extraction approach, deep convolutional features, ground-based cloud image categorization, BibRef

Ye, L.[Liang], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang], Li, W.[Wei],
Ground-based cloud image categorization using deep convolutional visual features,
Fisher Vector BibRef

Müller, R.[Richard], Haussler, S.[Stephane], Jerg, M.[Matthias],
The Role of NWP Filter for the Satellite Based Detection of Cumulonimbus Clouds,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804

Dai, G.Y.[Guang-Yao], Wu, S.H.[Song-Hua], Song, X.Q.[Xiao-Quan], Liu, L.P.[Li-Ping],
Optical and Geometrical Properties of Cirrus Clouds over the Tibetan Plateau Measured by LiDAR and Radiosonde Sounding during the Summertime in 2014,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902

Lyu, Y.X.[Yu-Xiao], Peng, L.[Lingbing], Pu, T.[Tian], Yang, C.[Chunping], Wang, J.[Jun], Peng, Z.[Zhenming],
Cirrus Detection Based on RPCA and Fractal Dictionary Learning in Infrared imagery,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001

Schläpfer, D.[Daniel], Richter, R.[Rudolf], Reinartz, P.[Peter],
Elevation-Dependent Removal of Cirrus Clouds in Satellite Imagery,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002

Chen, S.[Sijie], Cheng, C.H.[Chong-Hui], Zhang, X.Y.[Xing-Ying], Su, L.[Lin], Tong, B.[Bowen], Dong, C.Z.[Chang-Zhe], Wang, F.[Fu], Chen, B.L.[Bing-Long], Chen, W.B.[Wei-Biao], Liu, D.[Dong],
Construction of Nighttime Cloud Layer Height and Classification of Cloud Types,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003

Magurno, D.[Davide], Cossich, W.[William], Maestri, T.[Tiziano], Bantges, R.[Richard], Brindley, H.[Helen], Fox, S.[Stuart], Harlow, C.[Chawn], Murray, J.[Jonathan], Pickering, J.[Juliet], Warwick, L.[Laura], Oetjen, H.[Hilke],
Cirrus Cloud Identification from Airborne Far-Infrared and Mid-Infrared Spectra,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007

Cheng, C.[Chong], Yi, F.[Fan],
Falling Mixed-Phase Ice Virga and their Liquid Parent Cloud Layers as Observed by Ground-Based Lidars,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007

Hung, M.P.[Meng-Pai], Chen, W.T.[Wei-Ting], Wu, C.M.[Chien-Ming], Chen, P.J.[Peng-Jen], Feng, P.N.[Pei-Ning],
Intraseasonal Vertical Cloud Regimes Based on CloudSat Observations over the Tropics,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007

Zhang, M.T.[Man-Ting], Teng, S.[Shiwen], Di, D.[Di], Hu, X.Q.[Xiu-Qing], Letu, H.[Husi], Min, M.[Min], Liu, C.[Chao],
Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008

Fiolleau, T., Roca, R., Cloché, S., Bouniol, D., Raberanto, P.,
Homogenization of Geostationary Infrared Imager Channels for Cold Cloud Studies Using Megha-Tropiques/ScaRaB,
GeoRS(58), No. 9, September 2020, pp. 6609-6622.
Calibration, Clouds, Satellite broadcasting, Instruments, Satellites, Temperature measurement, Spatial resolution, limb-darkening corrections BibRef

Chai, Y.J.[Ya-Jie], Fu, K.[Kun], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Yan, Z.Y.[Zhi-Yuan], Feng, Y.C.[Ying-Chao], Wang, L.[Lei],
Compact Cloud Detection with Bidirectional Self-Attention Knowledge Distillation,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009

Pan, H.[Honglin], Wang, M.[Minzhong], Kumar, K.R.[Kanike Raghavendra], Zhang, J.T.[Jian-Tao], Meng, L.[Lu],
A Decadal Global Climatology of Ice Cloud Fraction with Their Microphysical and Optical Properties Inferred from the CALIPSO and Reanalysis Data,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011

Wang, W.[Wei], Yi, F.[Fan], Liu, F.C.[Fu-Chao], Zhang, Y.P.[Yun-Peng], Yu, C.M.[Chang-Ming], Yin, Z.P.[Zhen-Ping],
Characteristics and Seasonal Variations of Cirrus Clouds from Polarization Lidar Observations at a 30°N Plain Site,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Sellitto, P.[Pasquale], Bucci, S.[Silvia], Legras, B.[Bernard],
Comparison of ISS-CATS and CALIPSO-CALIOP Characterization of High Clouds in the Tropics,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Meyer, K.[Kerry], Platnick, S.[Steven], Holz, R.[Robert], Dutcher, S.[Steve], Quinn, G.[Greg], Nagle, F.[Fred],
Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012

Platnick, S.[Steven], Meyer, K.[Kerry], Wind, G.[Galina], Holz, R.E.[Robert E.], Amarasinghe, N.[Nandana], Hubanks, P.A.[Paul A.], Marchant, B.[Benjamin], Dutcher, S.[Steven], Veglio, P.[Paolo],
The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Leonarski, L.[Lucie], Labonnote, L.C.[Laurent C.], Compiègne, M.[Mathieu], Vidot, J.[Jérôme], Baran, A.J.[Anthony J.], Dubuisson, P.[Philippe],
Potential of Hyperspectral Thermal Infrared Spaceborne Measurements to Retrieve Ice Cloud Physical Properties: Case Study of IASI and IASI-NG,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Choi, H.[Haklim], Liu, X.[Xiong], Abad, G.G.[Gonzalo Gonzalez], Seo, J.J.[Jong-Jin], Lee, K.M.[Kwang-Mog], Kim, J.[Jhoon],
A Fast Retrieval of Cloud Parameters Using a Triplet of Wavelengths of Oxygen Dimer Band around 477 nm,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Jiménez, P.A.[Pedro A.], McCandless, T.[Tyler],
Exploring the Potential of Statistical Modeling to Retrieve the Cloud Base Height from Geostationary Satellites: Applications to the ABI Sensor on Board of the GOES-R Satellite Series,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102

Liu, L.[Lei], Weng, C.[Chensi], Li, S.[Shulei], Husi, L.[Letu], Hu, S.[Shuai], Dong, P.[Pingyi],
Passive Remote Sensing of Ice Cloud Properties at Terahertz Wavelengths Based on Genetic Algorithm,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Kotarba, A.Z.[Andrzej Z.], Solecki, M.[Mateusz],
Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat-CALIPSO Radar-Lidar Observations,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Yang, J.H.[Jung-Hyun], Yoo, J.M.[Jung-Moon], Choi, Y.S.[Yong-Sang],
Advanced Dual-Satellite Method for Detection of Low Stratus and Fog near Japan at Dawn from FY-4A and Himawari-8,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103

Wen, X.[Xue], Pan, Z.X.[Zong-Xu], Hu, Y.X.[Yu-Xin], Liu, J.Y.[Jia-Yin],
Generative Adversarial Learning in YUV Color Space for Thin Cloud Removal on Satellite Imagery,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104

Xu, W.J.[Wen-Jing], Lyu, D.[Daren],
Evaluation of Cloud Mask and Cloud Top Height from Fengyun-4A with MODIS Cloud Retrievals over the Tibetan Plateau,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104

Romatschke, U.[Ulrike],
Melting Layer Detection and Observation with the NCAR Airborne W-Band Radar,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
In clouds. BibRef

Dror, T.[Tom], Koren, I.[Ilan], Altaratz, O.[Orit], Heiblum, R.H.[Reuven H.],
On the Abundance and Common Properties of Continental, Organized Shallow (Green) Clouds,
GeoRS(59), No. 6, June 2021, pp. 4570-4578.
Clouds, Meteorology, MODIS, Europe, Atmospheric modeling, Green products, Surface morphology, Cloud classification, shallow cumulus BibRef

Tian, J.J.[Jing-Jing], Zhang, Y.[Yunyan], Klein, S.A.[Stephen A.], Wang, L.[Likun], Öktem, R.[Rusen], Romps, D.M.[David M.],
Summertime Continental Shallow Cumulus Cloud Detection Using GOES-16 Satellite and Ground-Based Stereo Cameras at the DOE ARM Southern Great Plains Site,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106

Zhao, D.[Dexin], Zhu, L.[Lin], Sun, H.[Hongfu], Li, J.[Jun], Wang, W.S.[Wei-Shi],
Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine-Learning Approach,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106

Cho, Y.[Yeonsoo], Park, S.J.[Sang-Jong], Kim, J.H.[Joo-Hong], Yeo, H.D.[Hui-Dong], Nam, J.Y.[Jih-Yun], Jun, S.Y.[Sang-Yoon], Kim, B.M.[Baek-Min], Kim, S.W.[Sang-Woo],
Investigating Wintertime Cloud Microphysical Properties and Their Relationship to Air Mass Advection at Ny-Ålesund, Svalbard Using the Synergy of a Cloud Radar-Ceilometer-Microwave Radiometer,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107

Dong, P.[Pingyi], Liu, L.[Lei], Li, S.[Shulei], Hu, S.[Shuai], Bu, L.[Lingbing],
Application of M5 Model Tree in Passive Remote Sensing of Thin Ice Cloud Microphysical Properties in Terahertz Region,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107

Loeub, T.[Tamar], Levis, A.[Aviad], Holodovsky, V.[Vadim], Schechner, Y.Y.[Yoav Y.],
Monotonicity Prior for Cloud Tomography,
Springer DOI 2012
Variations of droplets within the cloud. BibRef

Bernecker, D.[David], Riess, C.[Christian], Christlein, V.[Vincent], Angelopoulou, E.[Elli],
Representation Learning for Cloud Classification,
Springer DOI 1311

Richards, K., Sullivan, G.D.,
Colour and Texture in Cloud Identification: An Experimental Comparison of Neural Network and Bayesian Methods,
PDF File. 9309
Estimation of Cloud Cover Using Colour and Texture,
PDF File. 9209

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Segmentation by Region Growing Techniques .

Last update:Jul 11, 2021 at 20:18:24