Extracting Taklimakan Dust Parameters from AIRS with Artificial Neural Network Method
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Extracting Taklimakan Dust Parameters from AIRS with Artificial Neural Network Method
Authors
Keywords
-
Journal
Remote Sensing
Volume 11, Issue 24, Pages 2931
Publisher
MDPI AG
Online
2019-12-06
DOI
10.3390/rs11242931
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quantitative Aerosol Optical Depth Detection during Dust Outbreaks from Meteosat Imagery Using an Artificial Neural Network Model
- (2019) Stavros Kolios et al. Remote Sensing
- Satellite-Based Atmospheric Infrared Sounder Development and Applications
- (2018) W. Paul Menzel et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Improving the Estimation of Daily Aerosol Optical Depth and Aerosol Radiative Effect Using an Optimized Artificial Neural Network
- (2018) Wenmin Qin et al. Remote Sensing
- Comparison of AVHRR aerosol optical depth production against CARSNET data in China
- (2018) Xinlei Han et al. ATMOSPHERIC RESEARCH
- Diurnal dynamics of soil respiration and the influencing factors for three land-cover types in the hinterland of the Taklimakan Desert, China
- (2017) Fan Yang et al. Journal of Arid Land
- Synergistic use of AIRS and MODIS for dust top height retrieval over land
- (2015) Zhigang Yao et al. ADVANCES IN ATMOSPHERIC SCIENCES
- Retrieval of the land surface-air temperature difference from high spatial resolution satellite observations over complex surfaces in the Tibetan Plateau
- (2015) Jie Zhang et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Detection of Optically Thin Mineral Dust Aerosol Layers over the Ocean Using MODIS
- (2013) Hyoun-Myoung Cho et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Retrieving Asian dust AOT and height from hyperspectral sounder measurements: An artificial neural network approach
- (2013) Hyo-Jin Han et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Asian dust height and infrared optical depth retrievals over land from hyperspectral longwave infrared radiances
- (2012) Zhigang Yao et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Validation of MODIS and Deep Blue aerosol optical depth retrievals in an arid/semi-arid region of northwest China
- (2011) Xia Li et al. Particuology
- Infrared retrievals of dust using AIRS: Comparisons of optical depths and heights derived for a North African dust storm to other collocated EOS A-Train and surface observations
- (2010) S. G. DeSouza-Machado et al. JOURNAL OF GEOPHYSICAL RESEARCH
- A decade of dust: Asian dust and springtime aerosol load in the U.S. Pacific Northwest
- (2009) E. V. Fischer et al. GEOPHYSICAL RESEARCH LETTERS
- Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network
- (2009) Huizheng Che et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Asian dust transported one full circuit around the globe
- (2009) Itsushi Uno et al. Nature Geoscience
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More