38 citations as recorded by crossref.

1. An Overview of Neural Network Methods for Predicting Uncertainty in Atmospheric Remote Sensing A. Doicu et al. 10.3390/rs13245061
2. Comparison of the cloud top heights retrieved from MODIS and AHI satellite data with ground-based Ka-band radar J. Huo et al. 10.5194/amt-13-1-2020
3. A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems S. Pfreundschuh et al. 10.5194/amt-11-4627-2018
4. Comparative analysis of cloud properties over drought- and flood-prone regions of western India using machine learning techniques N. Mevada & R. Srivastava 10.2166/wcc.2024.511
5. CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023 K. Karlsson et al. 10.5194/essd-15-4901-2023
6. Evaluation of Visible Infrared Imaging Radiometer Suite (VIIRS) neural network cloud detection against current operational cloud masks C. White et al. 10.5194/amt-14-3371-2021
7. Operational application of Fengyun geostationary meteorological satellites to cloud observation products M. Du et al. 10.1038/s41598-024-68593-3
8. Probing the Explainability of Neural Network Cloud-Top Pressure Models for LEO and GEO Imagers C. White et al. 10.1175/AIES-D-21-0001.1
9. Decadal Stability and Trends in the Global Cloud Amount and Cloud Top Temperature in the Satellite-Based Climate Data Records A. Devasthale & K. Karlsson 10.3390/rs15153819
10. CERES MODIS Cloud Product Retrievals for Edition 4—Part II: Comparisons to CloudSat and CALIPSO C. Yost et al. 10.1109/TGRS.2020.3015155
11. Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI A. Pirinen et al. 10.3390/rs16040694
12. Machine learning-based retrieval of day and night cloud macrophysical parameters over East Asia using Himawari-8 data Y. Yang et al. 10.1016/j.rse.2022.112971
13. Identification of ice-over-water multilayer clouds using multispectral satellite data in an artificial neural network S. Sun-Mack et al. 10.5194/amt-17-3323-2024
14. Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products M. Haarig et al. 10.5194/amt-16-5953-2023
15. First Release of the Optimal Cloud Analysis Climate Data Record from the EUMETSAT SEVIRI Measurements 2004–2019 A. Bozzo et al. 10.3390/rs16162989
16. On estimation of cloudiness characteristics and parameters of DOAS retrieval from spectral measurements using a neural network O. Postylyakov et al. 10.1088/1755-1315/489/1/012031
17. Estimation of Surface Downward Longwave Radiation and Cloud Base Height Based on Infrared Multichannel Data of Himawari-8 J. Shao et al. 10.3390/atmos14030493
18. CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations N. Benas et al. 10.5194/essd-15-5153-2023
19. From trees to rain: enhancement of cloud glaciation and precipitation by pollen J. Kretzschmar et al. 10.1088/1748-9326/ad747a
20. Cloud-Top Height Comparison from Multi-Satellite Sensors and Ground-Based Cloud Radar over SACOL Site X. Yang et al. 10.3390/rs13142715
21. Retrieval of cloud properties from thermal infrared radiometry using convolutional neural network Q. Wang et al. 10.1016/j.rse.2022.113079
22. Detecting Multilayer Clouds From the Geostationary Advanced Himawari Imager Using Machine Learning Techniques Z. Tan et al. 10.1109/TGRS.2021.3087714
23. Remote Sensing Retrieval of Cloud Top Height Using Neural Networks and Data from Cloud-Aerosol Lidar with Orthogonal Polarization Y. Cheng et al. 10.3390/s24020541
24. Comparisons of AGRI/FY-4A Cloud Fraction and Cloud Top Pressure with MODIS/Terra Measurements over East Asia T. Wang et al. 10.1007/s13351-019-8160-8
25. Aerosol Parameters Retrieval From TROPOMI/S5P Using Physics-Based Neural Networks L. Rao et al. 10.1109/JSTARS.2022.3196843
26. Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms J. Musial & J. Bojanowski 10.3390/rs14020378
27. Cloud identification and property retrieval from Himawari-8 infrared measurements via a deep neural network X. Wang et al. 10.1016/j.rse.2022.113026
28. A Method for Retrieving Cloud-Top Height Based on a Machine Learning Model Using the Himawari-8 Combined with Near Infrared Data Y. Dong et al. 10.3390/rs14246367
29. Retrieval of liquid water cloud properties from POLDER-3 measurements using a neural network ensemble approach A. Di Noia et al. 10.5194/amt-12-1697-2019
30. Estimation of all-sky all-wave daily net radiation at high latitudes from MODIS data J. Chen et al. 10.1016/j.rse.2020.111842
31. Measurement of Cloud Top Height: Comparison of MODIS and Ground-Based Millimeter Radar J. Huo et al. 10.3390/rs12101616
32. Global Cloudiness and Cloud Top Information from AVHRR in the 42-Year CLARA-A3 Climate Data Record Covering the Period 1979–2020 K. Karlsson et al. 10.3390/rs15123044
33. Difference between WMO Climate Normal and Climatology: Insights from a Satellite-Based Global Cloud and Radiation Climate Data Record A. Devasthale et al. 10.3390/rs15235598
34. A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness S. Eliasson et al. 10.5194/gmd-13-297-2020
35. Retrieval of cloud top properties from advanced geostationary satellite imager measurements based on machine learning algorithms M. Min et al. 10.1016/j.rse.2019.111616
36. Estimate of daytime single-layer cloud base height from advanced baseline imager measurements H. Lin et al. 10.1016/j.rse.2022.112970
37. VIIRS Edition 1 Cloud Properties for CERES, Part 2: Evaluation with CALIPSO C. Yost et al. 10.3390/rs15051349
38. Tropical Overshooting Cloud-Top Height Retrieval from Himawari-8 Imagery Based on Random Forest Model G. Wang et al. 10.3390/atmos12020173