Artículos de revistas sobre el tema "CLOUDLET CLASSIFICATION"
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Ashima, Ashima y Vikramjit Singh. "A NOVEL APPROACH OF JOB ALLOCATION USING MULTIPLE PARAMETERS IN IN CLOUD ENVIRONMENT". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 17, n.º 1 (16 de enero de 2018): 7103–10. http://dx.doi.org/10.24297/ijct.v17i1.7004.
Texto completoKalesse-Los, Heike, Willi Schimmel, Edward Luke y Patric Seifert. "Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network". Atmospheric Measurement Techniques 15, n.º 2 (20 de enero de 2022): 279–95. http://dx.doi.org/10.5194/amt-15-279-2022.
Texto completoKalesse-Los, Heike, Anton Kötsche, Andreas Foth, Johannes Röttenbacher, Teresa Vogl y Jonas Witthuhn. "The Virga-Sniffer – a new tool to identify precipitation evaporation using ground-based remote-sensing observations". Atmospheric Measurement Techniques 16, n.º 6 (29 de marzo de 2023): 1683–704. http://dx.doi.org/10.5194/amt-16-1683-2023.
Texto completoPîrloagă, Răzvan, Dragoş Ene, Mihai Boldeanu, Bogdan Antonescu, Ewan J. O’Connor y Sabina Ştefan. "Ground-Based Measurements of Cloud Properties at the Bucharest–Măgurele Cloudnet Station: First Results". Atmosphere 13, n.º 9 (6 de septiembre de 2022): 1445. http://dx.doi.org/10.3390/atmos13091445.
Texto completoKulie, Mark S., Lisa Milani, Norman B. Wood, Samantha A. Tushaus, Ralf Bennartz y Tristan S. L’Ecuyer. "A Shallow Cumuliform Snowfall Census Using Spaceborne Radar". Journal of Hydrometeorology 17, n.º 4 (1 de abril de 2016): 1261–79. http://dx.doi.org/10.1175/jhm-d-15-0123.1.
Texto completoZhang, Jinglin, Pu Liu, Feng Zhang y Qianqian Song. "CloudNet: Ground‐Based Cloud Classification With Deep Convolutional Neural Network". Geophysical Research Letters 45, n.º 16 (28 de agosto de 2018): 8665–72. http://dx.doi.org/10.1029/2018gl077787.
Texto completoLiu, Cheng-Chien, Yu-Cheng Zhang, Pei-Yin Chen, Chien-Chih Lai, Yi-Hsin Chen, Ji-Hong Cheng y Ming-Hsun Ko. "Clouds Classification from Sentinel-2 Imagery with Deep Residual Learning and Semantic Image Segmentation". Remote Sensing 11, n.º 2 (10 de enero de 2019): 119. http://dx.doi.org/10.3390/rs11020119.
Texto completoBehrangi, Ali, Terry Kubar y Bjorn Lambrigtsen. "Phenomenological Description of Tropical Clouds Using CloudSat Cloud Classification". Monthly Weather Review 140, n.º 10 (1 de octubre de 2012): 3235–49. http://dx.doi.org/10.1175/mwr-d-11-00247.1.
Texto completoSchimmel, Willi, Heike Kalesse-Los, Maximilian Maahn, Teresa Vogl, Andreas Foth, Pablo Saavedra Garfias y Patric Seifert. "Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks". Atmospheric Measurement Techniques 15, n.º 18 (21 de septiembre de 2022): 5343–66. http://dx.doi.org/10.5194/amt-15-5343-2022.
Texto completoCasey, S. P. F., E. J. Fetzer y B. H. Kahn. "Revised identification of tropical oceanic cumulus congestus as viewed by CloudSat". Atmospheric Chemistry and Physics Discussions 11, n.º 5 (17 de mayo de 2011): 14883–902. http://dx.doi.org/10.5194/acpd-11-14883-2011.
Texto completoWang, Yuanmou, Chunmei Hu, Zhi Ding, Zhiyi Wang y Xuguang Tang. "All-Day Cloud Classification via a Random Forest Algorithm Based on Satellite Data from CloudSat and Himawari-8". Atmosphere 14, n.º 9 (7 de septiembre de 2023): 1410. http://dx.doi.org/10.3390/atmos14091410.
Texto completoXie, Qinghua, Jinfei Wang, Chunhua Liao, Jiali Shang, Juan Lopez-Sanchez, Haiqiang Fu y Xiuguo Liu. "On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data". Remote Sensing 11, n.º 7 (31 de marzo de 2019): 776. http://dx.doi.org/10.3390/rs11070776.
Texto completoCasey, S. P. F., E. J. Fetzer y B. H. Kahn. "Revised identification of tropical oceanic cumulus congestus as viewed by CloudSat". Atmospheric Chemistry and Physics 12, n.º 3 (13 de febrero de 2012): 1587–95. http://dx.doi.org/10.5194/acp-12-1587-2012.
Texto completoWu, Zhenjiang, Jiahua Zhang, Fan Deng, Sha Zhang, Da Zhang, Lan Xun, Tehseen Javed, Guizhen Liu, Dan Liu y Mengfei Ji. "Fusion of GF and MODIS Data for Regional-Scale Grassland Community Classification with EVI2 Time-Series and Phenological Features". Remote Sensing 13, n.º 5 (24 de febrero de 2021): 835. http://dx.doi.org/10.3390/rs13050835.
Texto completoYue, Qing, Eric J. Fetzer, Brian H. Kahn, Sun Wong, Gerald Manipon, Alexandre Guillaume y Brian Wilson. "Cloud-State-Dependent Sampling in AIRS Observations Based on CloudSat Cloud Classification". Journal of Climate 26, n.º 21 (16 de octubre de 2013): 8357–77. http://dx.doi.org/10.1175/jcli-d-13-00065.1.
Texto completoUnglaub, Claudia, Karoline Block, Johannes Mülmenstädt, Odran Sourdeval y Johannes Quaas. "A new classification of satellite-derived liquid water cloud regimes at cloud scale". Atmospheric Chemistry and Physics 20, n.º 4 (28 de febrero de 2020): 2407–18. http://dx.doi.org/10.5194/acp-20-2407-2020.
Texto completoUstuner, Mustafa y Fusun Balik Sanli. "Polarimetric Target Decompositions and Light Gradient Boosting Machine for Crop Classification: A Comparative Evaluation". ISPRS International Journal of Geo-Information 8, n.º 2 (21 de febrero de 2019): 97. http://dx.doi.org/10.3390/ijgi8020097.
Texto completoPeterson, Colten A., Qing Yue, Brian H. Kahn, Eric Fetzer y Xianglei Huang. "Evaluation of AIRS Cloud Phase Classification over the Arctic Ocean against Combined CloudSat–CALIPSO Observations". Journal of Applied Meteorology and Climatology 59, n.º 8 (1 de agosto de 2020): 1277–94. http://dx.doi.org/10.1175/jamc-d-20-0016.1.
Texto completoGuillaume, A., B. H. Kahn, Q. Yue, E. J. Fetzer, S. Wong, G. J. Manipon, H. Hua y B. D. Wilson. "Horizontal and Vertical Scaling of Cloud Geometry Inferred from CloudSat Data". Journal of the Atmospheric Sciences 75, n.º 7 (13 de junio de 2018): 2187–97. http://dx.doi.org/10.1175/jas-d-17-0111.1.
Texto completoWang, Di, Chang-An Liu, Yan Zeng, Tian Tian y Zheng Sun. "Dryland Crop Classification Combining Multitype Features and Multitemporal Quad-Polarimetric RADARSAT-2 Imagery in Hebei Plain, China". Sensors 21, n.º 2 (6 de enero de 2021): 332. http://dx.doi.org/10.3390/s21020332.
Texto completoLi, J., J. Huang, K. Stamnes, T. Wang, Y. Yi, X. Ding, Q. Lv y H. Jin. "Distributions and radiative forcings of various cloud types based on active and passive satellite datasets – Part 1: Geographical distributions and overlap of cloud types". Atmospheric Chemistry and Physics Discussions 14, n.º 7 (25 de abril de 2014): 10463–514. http://dx.doi.org/10.5194/acpd-14-10463-2014.
Texto completoIrbah, Abdanour, Julien Delanoë, Gerd-Jan van Zadelhoff, David P. Donovan, Pavlos Kollias, Bernat Puigdomènech Treserras, Shannon Mason, Robin J. Hogan y Aleksandra Tatarevic. "The classification of atmospheric hydrometeors and aerosols from the EarthCARE radar and lidar: the A-TC, C-TC and AC-TC products". Atmospheric Measurement Techniques 16, n.º 11 (6 de junio de 2023): 2795–820. http://dx.doi.org/10.5194/amt-16-2795-2023.
Texto completoZhang, Chengwei, Xiaoyong Zhuge y Fan Yu. "Development of a high spatiotemporal resolution cloud-type classification approach using Himawari-8 and CloudSat". International Journal of Remote Sensing 40, n.º 16 (21 de marzo de 2019): 6464–81. http://dx.doi.org/10.1080/01431161.2019.1594438.
Texto completoXiang, Hongmao, Shanwei Liu, Ziqi Zhuang y Naixin Zhang. "A classification algorithm based on Cloude decomposition model for fully polarimetric SAR image". IOP Conference Series: Earth and Environmental Science 46 (noviembre de 2016): 012060. http://dx.doi.org/10.1088/1755-1315/46/1/012060.
Texto completoSkofronick-Jackson, Gail, Mark Kulie, Lisa Milani, Stephen J. Munchak, Norman B. Wood y Vincenzo Levizzani. "Satellite Estimation of Falling Snow: A Global Precipitation Measurement (GPM) Core Observatory Perspective". Journal of Applied Meteorology and Climatology 58, n.º 7 (julio de 2019): 1429–48. http://dx.doi.org/10.1175/jamc-d-18-0124.1.
Texto completoSzyga-Pluta, Katarzyna. "Circulation Influence On Cloudiness In Poznań". Quaestiones Geographicae 34, n.º 3 (1 de septiembre de 2015): 141–49. http://dx.doi.org/10.1515/quageo-2015-0021.
Texto completoJiang, Yuhang, Wei Cheng, Feng Gao, Shaoqing Zhang, Shudong Wang, Chang Liu y Juanjuan Liu. "A Cloud Classification Method Based on a Convolutional Neural Network for FY-4A Satellites". Remote Sensing 14, n.º 10 (11 de mayo de 2022): 2314. http://dx.doi.org/10.3390/rs14102314.
Texto completoMarinou, Eleni, Kalliopi Artemis Voudouri, Ioanna Tsikoudi, Eleni Drakaki, Alexandra Tsekeri, Marco Rosoldi, Dragos Ene et al. "Geometrical and Microphysical Properties of Clouds Formed in the Presence of Dust above the Eastern Mediterranean". Remote Sensing 13, n.º 24 (9 de diciembre de 2021): 5001. http://dx.doi.org/10.3390/rs13245001.
Texto completoAfzali Gorooh, Vesta, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly y Ramakrishna Nemani. "Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS". Remote Sensing 12, n.º 2 (18 de enero de 2020): 316. http://dx.doi.org/10.3390/rs12020316.
Texto completoHung, Meng-Pai, Wei-Ting Chen, Chien-Ming Wu, Peng-Jen Chen y Pei-Ning Feng. "Intraseasonal Vertical Cloud Regimes Based on CloudSat Observations over the Tropics". Remote Sensing 12, n.º 14 (15 de julio de 2020): 2273. http://dx.doi.org/10.3390/rs12142273.
Texto completoShen, Jing, Chao Tao, Ji Qi y Hao Wang. "Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification". Remote Sensing 13, n.º 17 (3 de septiembre de 2021): 3504. http://dx.doi.org/10.3390/rs13173504.
Texto completoCesana, Grégory, Anthony D. Del Genio y Hélène Chepfer. "The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD)". Earth System Science Data 11, n.º 4 (25 de noviembre de 2019): 1745–64. http://dx.doi.org/10.5194/essd-11-1745-2019.
Texto completoJing, S. y T. Chao. "TIME SERIES LAND COVER CLASSIFICATION BASED ON SEMI-SUPERVISED CONVOLUTIONAL LONG SHORT-TERM MEMORY NEURAL NETWORKS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (14 de agosto de 2020): 1521–28. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1521-2020.
Texto completoChen, Sijie, Chonghui Cheng, Xingying Zhang, Lin Su, Bowen Tong, Changzhe Dong, Fu Wang, Binglong Chen, Weibiao Chen y Dong Liu. "Construction of Nighttime Cloud Layer Height and Classification of Cloud Types". Remote Sensing 12, n.º 4 (18 de febrero de 2020): 668. http://dx.doi.org/10.3390/rs12040668.
Texto completoGhods, S., V. Shojaeddini y Y. Maghsoudi. "A MODIFIED H-α PLANE FOR THE EXTRACTION OF SCATTERING MECHANISMS FROM DUAL CIRCULAR POLARIZATION SAR DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (11 de diciembre de 2015): 237–40. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-237-2015.
Texto completoDobrowolska, Ksenia. "Weather Types at Selected Meteorological Stations in Siberia". Bulletin of Geography. Physical Geography Series 7, n.º 1 (1 de diciembre de 2014): 81–104. http://dx.doi.org/10.2478/bgeo-2014-0004.
Texto completoWiederkehr, Natalia C., Fabio F. Gama, Paulo B. N. Castro, Polyanna da Conceição Bispo, Heiko Balzter, Edson E. Sano, Veraldo Liesenberg, João R. Santos y José C. Mura. "Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data". Remote Sensing 12, n.º 21 (26 de octubre de 2020): 3512. http://dx.doi.org/10.3390/rs12213512.
Texto completoGörsdorf, Ulrich, Volker Lehmann, Matthias Bauer-Pfundstein, Gerhard Peters, Dmytro Vavriv, Vladimir Vinogradov y Vadim Volkov. "A 35-GHz Polarimetric Doppler Radar for Long-Term Observations of Cloud Parameters—Description of System and Data Processing". Journal of Atmospheric and Oceanic Technology 32, n.º 4 (abril de 2015): 675–90. http://dx.doi.org/10.1175/jtech-d-14-00066.1.
Texto completoWang, Bo, Mingwei Zhou, Wei Cheng, Yao Chen, Qinghong Sheng, Jun Li y Li Wang. "An Efficient Cloud Classification Method Based on a Densely Connected Hybrid Convolutional Network for FY-4A". Remote Sensing 15, n.º 10 (21 de mayo de 2023): 2673. http://dx.doi.org/10.3390/rs15102673.
Texto completoCeccaldi, M., J. Delanoë, R. J. Hogan, N. L. Pounder, A. Protat y J. Pelon. "From CloudSat-CALIPSO to EarthCare: Evolution of the DARDAR cloud classification and its comparison to airborne radar-lidar observations". Journal of Geophysical Research: Atmospheres 118, n.º 14 (27 de julio de 2013): 7962–81. http://dx.doi.org/10.1002/jgrd.50579.
Texto completoLiang, Yao, Xuejin Sun, Steven D. Miller, Haoran Li, Yongbo Zhou, Riwei Zhang y Shaohui Li. "Cloud Base Height Estimation from ISCCP Cloud-Type Classification Applied to A-Train Data". Advances in Meteorology 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/3231719.
Texto completoWang, W. y M. Gade. "A NEW SAR CLASSIFICATION SCHEME FOR SEDIMENTS ON INTERTIDAL FLATS BASED ON MULTI-FREQUENCY POLARIMETRIC SAR IMAGERY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W2 (16 de noviembre de 2017): 223–28. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w2-223-2017.
Texto completoPagès, D., J. Calbó y J. A. González. "Using routine meteorological data to derive sky conditions". Annales Geophysicae 21, n.º 3 (31 de marzo de 2003): 649–54. http://dx.doi.org/10.5194/angeo-21-649-2003.
Texto completoV, Shashank, Priya D, Dr G. S. Mamatha y Dr Nagaraju G. "Con-Ker: A Convolutional Neural Network Based Approach for Keratoconus Detection and Classification". Journal of University of Shanghai for Science and Technology 23, n.º 07 (30 de junio de 2021): 71–81. http://dx.doi.org/10.51201/jusst/21/06472.
Texto completoLi, J., J. Huang, K. Stamnes, T. Wang, Q. Lv y H. Jin. "A global survey of cloud overlap based on CALIPSO and CloudSat measurements". Atmospheric Chemistry and Physics 15, n.º 1 (15 de enero de 2015): 519–36. http://dx.doi.org/10.5194/acp-15-519-2015.
Texto completoWang, Wensheng, Martin Gade, Kerstin Stelzer, Jörn Kohlus, Xinyu Zhao y Kun Fu. "A Classification Scheme for Sediments and Habitats on Exposed Intertidal Flats with Multi-Frequency Polarimetric SAR". Remote Sensing 13, n.º 3 (21 de enero de 2021): 360. http://dx.doi.org/10.3390/rs13030360.
Texto completoKryvoshein, O. O., O. A. Kryvobok y T. I. Adamenko. "Satellite-based system of area estimation for main agricultural crops of Ukraine". Ukrainian hydrometeorological journal, n.º 26 (22 de diciembre de 2020): 78–90. http://dx.doi.org/10.31481/uhmj.26.2020.07.
Texto completoArulraj, Malarvizhi y Ana P. Barros. "Shallow Precipitation Detection and Classification Using Multifrequency Radar Observations and Model Simulations". Journal of Atmospheric and Oceanic Technology 34, n.º 9 (septiembre de 2017): 1963–83. http://dx.doi.org/10.1175/jtech-d-17-0060.1.
Texto completoNurtyawan, Rian y Gerryn Maulannisaa. "Pemantauan Fase Pertumbuhan Tanaman Padi Menggunakan Citra Radarsat-2 Quad Polarimetrik". Jurnal Rekayasa Hijau 5, n.º 1 (5 de abril de 2021): 1–14. http://dx.doi.org/10.26760/jrh.v5i1.1-14.
Texto completoWang, W., X. Yang, G. Liu, H. Zhou, W. Ma, Y. Yu y Z. Li. "RANDOM FOREST CLASSIFICATION OF SEDIMENTS ON EXPOSED INTERTIDAL FLATS USING ALOS-2 QUAD-POLARIMETRIC SAR DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (24 de junio de 2016): 1191–94. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1191-2016.
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