Articles | Volume 5, issue 4
https://doi.org/10.5194/amt-5-843-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-5-843-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Apr 2012
Research article |
| 27 Apr 2012
Improved cloud and snow screening in MAIAC aerosol retrievals using spectral and spatial analysis
A. Lyapustin
Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Y. Wang
University of Maryland Baltimore County, Baltimore, Maryland, USA
I. Laszlo
NOAA/NESDIS/STAR, Camp Springs, Maryland, USA
S. Korkin
Universities Space Research Association, Columbia, Maryland, USA
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33 citations as recorded by crossref.
- Improving the accuracy of AOD by using multi-sensors data over the Red Sea and the Persian Gulf M. Pashayi et al. 10.1016/j.apr.2023.101948
- A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing K. Duffy et al. 10.1109/TNNLS.2022.3169958
- Exploring Patterns and Effects of Aerosol Quantity Flag Anomalies in MODIS Surface Reflectance Products in the Tropics K. Grogan & R. Fensholt 10.3390/rs5073495
- Discrimination of biomass burning smoke and clouds in MAIAC algorithm A. Lyapustin et al. 10.5194/acp-12-9679-2012
- Decade-low aerosol levels over the Bohai and Yellow Seas amid the COVID-19 lockdown . RunaA et al. 10.1016/j.jag.2022.102905
- A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers J. Gamon et al. 10.1073/pnas.1606162113
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe S. Ibrahim et al. 10.3390/rs13153027
- Screening for snow/snowmelt in SNPP VIIRS aerosol optical depth algorithm J. Huang et al. 10.5194/amt-11-5813-2018
- Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products M. Román et al. 10.1016/j.rse.2023.113963
- Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm for Himawari-8 Data L. She et al. 10.3390/rs11232771
- Wildfire Smoke Cools Summer River and Stream Water Temperatures A. David et al. 10.1029/2018WR022964
- New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests H. Hashimoto et al. 10.1038/s41467-021-20994-y
- Observations of rapid aerosol optical depth enhancements in the vicinity of polluted cumulus clouds T. Eck et al. 10.5194/acp-14-11633-2014
- Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach J. Wei et al. 10.1016/j.rse.2019.111221
- Reconstructing aerosol optical depth using spatiotemporal Long Short-Term Memory convolutional autoencoder L. Liang et al. 10.1038/s41597-023-02696-w
- Constraining chemical transport PM<sub>2.5</sub> modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley M. Friberg et al. 10.5194/acp-18-12891-2018
- A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations W. Wang et al. 10.3390/rs14040964
- Improvement of spatial-temporal resolution of aerosol profile by using multi-source satellite data over the Persian Gulf M. Pashayi et al. 10.1016/j.atmosenv.2022.119410
- Calibration of Maxar Constellation Over Libya-4 Site Using MAIAC Technique M. Choi et al. 10.1109/JSTARS.2024.3367250
- MODIS Collection 6 MAIAC algorithm A. Lyapustin et al. 10.5194/amt-11-5741-2018
- Multi-angle implementation of atmospheric correction for MODIS (MAIAC): 3. Atmospheric correction A. Lyapustin et al. 10.1016/j.rse.2012.09.002
- Limitations of cloud cover for optical remote sensing of agricultural areas across South America V. Prudente et al. 10.1016/j.rsase.2020.100414
- The HelioMont method for assessing solar irradiance over complex terrain: Validation and improvements M. Castelli et al. 10.1016/j.rse.2014.07.018
- Mapping Seasonal High-Resolution PM2.5 Concentrations with Spatiotemporal Bagged-Tree Model across China J. He et al. 10.3390/ijgi10100676
- Evaluation and comparison of MODIS and VIIRS aerosol optical depth (AOD) products over regions in the Eastern Mediterranean and the Black Sea P. Ettehadi Osgouei et al. 10.1016/j.atmosenv.2021.118784
- Transport of Po Valley aerosol pollution to the northwestern Alps – Part 1: Phenomenology H. Diémoz et al. 10.5194/acp-19-3065-2019
- Characterizing the Aerosol and Surface Reflectance Over Australia Using AATSR Y. Qin et al. 10.1109/TGRS.2015.2433911
- Observed aerosol-induced radiative effect on plant productivity in the eastern United States S. Strada et al. 10.1016/j.atmosenv.2015.09.051
- Satellite-based view of the aerosol spatial and temporal variability in the Córdoba region (Argentina) using over ten years of high-resolution data L. Della Ceca et al. 10.1016/j.isprsjprs.2018.08.016
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- Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia E. Kang et al. 10.1016/j.atmosenv.2023.119951
- Influence of the Indian Summer Monsoon on Inter-Annual Variability of the Tibetan-Plateau NDVI in Its Main Growing Season X. Mao et al. 10.3390/rs15143612
1 citations as recorded by crossref.
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