38 citations as recorded by crossref.

1. Joint Retrieval of Aerosol Optical Depth and Surface Reflectance Over Land Using Geostationary Satellite Data L. She et al. 10.1109/TGRS.2018.2867000
2. Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. 10.1109/TGRS.2021.3107542
3. Algorithm for Recovery of Integrated Water Vapor Content in the Atmosphere over Land Surfaces Based on Satellite Spectroradiometer Data S. Lisenko 10.1007/s10812-017-0467-6
4. Thin cloud detection over land using background surface reflectance based on the BRDF model applied to Geostationary Ocean Color Imager (GOCI) satellite data sets J. Yeom et al. 10.1016/j.rse.2019.111610
5. Aerosol optical depth retrieval over land from OCEANSAT-2/ OCM- 2 data – A simple physics based approach M. Mehta et al. 10.1016/j.apr.2022.101339
6. Hourly Ground-Level PM2.5 Estimation Using Geostationary Satellite and Reanalysis Data via Deep Learning C. Lee et al. 10.3390/rs13112121
7. Changes in atmospheric aerosol loading retrieved from space-based measurements during the past decade J. Yoon et al. 10.5194/acp-14-6881-2014
8. Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data Y. Li et al. 10.1016/j.rse.2013.01.020
9. Skyglow: a retrieval of the approximate radiant intensity function of ground-based light sources M. Kocifaj & H. Solano Lamphar 10.1093/mnras/stu180
10. Aerosol optical depth retrieval in the Arctic region using MODIS data over snow L. Mei et al. 10.1016/j.rse.2012.10.009
11. An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): A case study for South Korea H. Kim et al. 10.1002/2017JD026707
12. Trend analysis of aerosol optical thickness and Ångström exponent derived from the global AERONET spectral observations J. Yoon et al. 10.5194/amt-5-1271-2012
13. The impact of air mass advection on aerosol optical properties over Gotland (Baltic Sea) A. Zdun et al. 10.1016/j.atmosres.2016.07.022
14. Determination of land surface reflectance using the AATSR dual-view capability L. Sogacheva et al. 10.5194/amt-8-891-2015
15. Corrigendum to “Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption” [J. Quant. Spectrosc. Radiat. Transf. 136 (2014) 45–57] C. Li et al. 10.1016/j.jqsrt.2014.03.002
16. GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign M. Choi et al. 10.5194/amt-9-1377-2016
17. Quantitative evaluation of uncertainties in satellite retrieval of dust-like aerosols induced by spherical assumption C. Li et al. 10.1016/j.jqsrt.2014.01.003
18. Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
19. XBAER-derived aerosol optical thickness from OLCI/Sentinel-3 observation L. Mei et al. 10.5194/acp-18-2511-2018
20. SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm L. She et al. 10.3390/rs9030253
21. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation Y. Che et al. 10.3390/rs10091414
22. Volcanic ash over Scandinavia originating from the Grímsvötn eruptions in May 2011 M. Tesche et al. 10.1029/2011JD017090
23. Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II J. Yeom et al. 10.3390/rs10050697
24. Background Optical Depth Correction over Urban Areas to Improve Land Aerosol Retrieval from Himawari-8 . Risyanto 10.1088/1755-1315/893/1/012060
25. A Novel Aerosol Load Index Using MODIS Visible Bands: Applied to South-West Part of Iran S. Bahramvash Shams & A. Mohammadzadeh 10.1109/JSTARS.2014.2381269
26. Analysis of linear long-term trend of aerosol optical thickness derived from SeaWiFS using BAER over Europe and South China J. Yoon et al. 10.5194/acp-11-12149-2011
27. Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data W. Davies & P. North 10.5194/amt-8-1719-2015
28. Aerosol optical properties derived from the DRAGON-NE Asia campaign, and implications for a single-channel algorithm to retrieve aerosol optical depth in spring from Meteorological Imager (MI) on-board the Communication, Ocean, and Meteorological Satellite (COMS) M. Kim et al. 10.5194/acp-16-1789-2016
29. Using radiative transfer models in order to estimate PM10 concentration in south of Iran using MODIS images M. Hojati & A. Boolorani 10.1007/s13762-017-1591-9
30. Remote sensing of atmospheric aerosol using spaceborne optical observations A. Kokhanovsky 10.1016/j.earscirev.2012.10.008
31. A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data L. Mei et al. 10.1016/j.rse.2016.11.016
32. Retrieval of aerosol optical depth over land surfaces from AVHRR data L. Mei et al. 10.5194/amt-7-2411-2014
33. Assessment of two aerosol optical thickness retrieval algorithms applied to MODIS Aqua and Terra measurements in Europe P. Glantz & M. Tesche 10.5194/amt-5-1727-2012
34. A Fast Algorithm for Retrieving Maps of Atmospheric Pollution by Fine Particulate Matter from Multispectral Satellite Images S. Lisenko 10.1134/S1024856018010104
35. Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. 10.1002/2017JD026934
36. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results L. Mei et al. 10.1016/j.rse.2016.11.015
37. Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days K. Lee & Y. Kim 10.5194/amt-3-1771-2010
38. Aerosol type over east Asian retrieval using total and polarized remote Sensing D. Xie et al. 10.1016/j.jqsrt.2013.05.028