Articles | Volume 3, issue 5
https://doi.org/10.5194/amt-3-1255-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-3-1255-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
20 Sep 2010
Validation of a modified AVHRR aerosol optical depth retrieval algorithm over Central Europe
M. Riffler
Institute of Geography, University of Bern, Bern, Switzerland
C. Popp
Swiss Federal Laboratories for Materials Science and Technology (EMPA), Dübendorf, Switzerland
A. Hauser
EADS Astrium GmbH, Immenstaad, Germany
F. Fontana
Institute of Geography, University of Bern, Bern, Switzerland
S. Wunderle
Institute of Geography, University of Bern, Bern, Switzerland
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- A Critical Evaluation of Deep Blue Algorithm Derived AVHRR Aerosol Product Over China L. Mei et al. https://doi.org/10.1029/2018JD029929
- Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager S. Logothetis et al. https://doi.org/10.3390/atmos14081266
- Aerosol Optical Depth Retrieval over East Asia Using Himawari-8/AHI Data W. Zhang et al. https://doi.org/10.3390/rs10010137
- A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land G. Zhong et al. https://doi.org/10.3390/rs9060524
- Retrieval of Aerosol Optical Depth in the Arid or Semiarid Region of Northern Xinjiang, China X. Tian et al. https://doi.org/10.3390/rs10020197
- Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data Y. Li et al. https://doi.org/10.1016/j.rse.2013.01.020
- A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia Y. Wang et al. https://doi.org/10.3390/rs13030365
- Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images L. Sun et al. https://doi.org/10.3390/rs8010023
- Investigations into the development of a satellite-based aerosol climate data record using ATSR-2, AATSR and AVHRR data over north-eastern China from 1987 to 2012 Y. Che et al. https://doi.org/10.5194/amt-12-4091-2019
- Mapping particulate matter in alpine regions with satellite and ground-based measurements: An exploratory study for data assimilation E. Emili et al. https://doi.org/10.1016/j.atmosenv.2011.05.051
- Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates A. Abuelgasim et al. https://doi.org/10.1016/j.rsase.2021.100532
- Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014 M. Bilal et al. https://doi.org/10.3390/rs11050486
- Comparison and Evaluation of Different MODIS Aerosol Optical Depth Products Over the Beijing-Tianjin-Hebei Region in China J. Wei & L. Sun https://doi.org/10.1109/JSTARS.2016.2595624
- Advancing application of satellite remote sensing technologies for linking atmospheric and built environment to health Y. Tian et al. https://doi.org/10.3389/fpubh.2023.1270033
- A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data G. Zhong et al. https://doi.org/10.3390/rs8120998
- A new generation aerosol optical depth dataset based on AVHRR data over China from 1981 to 2000 Y. Che et al. https://doi.org/10.1016/j.rse.2025.114899
- Albedo and reflectance anisotropy retrieval from AVHRR operated onboard NOAA and MetOp satellites: Algorithm performance and accuracy assessment for Europe M. Sütterlin et al. https://doi.org/10.1016/j.rse.2015.06.023
- Evaluation of NASA Deep Blue/SOAR aerosol retrieval algorithms applied to AVHRR measurements A. Sayer et al. https://doi.org/10.1002/2017JD026934
- Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean X. Shen et al. https://doi.org/10.3390/rs10040573
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. https://doi.org/10.1080/10643389.2019.1665944
- Long-time series aerosol optical depth retrieval from AVHRR data over land in North China and Central Europe Y. Xue et al. https://doi.org/10.1016/j.rse.2017.06.036
- A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces M. Bilal et al. https://doi.org/10.1016/j.rse.2013.04.014
- Retrieval of aerosol optical depth over land surfaces from AVHRR data L. Mei et al. https://doi.org/10.5194/amt-7-2411-2014
- Long-term spatiotemporal trends in aerosol optical depth and its relationship with enhanced vegetation index and meteorological parameters over South Asia S. Tariq et al. https://doi.org/10.1007/s11356-021-17887-4
- High spatial resolution aerosol retrieval with MAIAC: Application to mountain regions E. Emili et al. https://doi.org/10.1029/2011JD016297
- Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images K. Omari et al. https://doi.org/10.1016/j.apr.2019.01.015
- Validation of Aqua-MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan M. Bilal et al. https://doi.org/10.1109/JSTARS.2015.2481460
- Critical surface albedo and its implications to aerosol remote sensing F. Seidel & C. Popp https://doi.org/10.5194/amt-5-1653-2012
- Anthropogenic aerosol emissions mapping and characterization by imaging spectroscopy – application to a metallurgical industry and a petrochemical complex Y. Philippets et al. https://doi.org/10.1080/01431161.2018.1513665
- Evaluation of the AVHRR DeepBlue aerosol optical depth dataset over mainland China Y. Che et al. https://doi.org/10.1016/j.isprsjprs.2018.09.004
- Evaluation of MODIS aerosol retrieval algorithms over the Beijing‐Tianjin‐Hebei region during low to very high pollution events M. Bilal & J. Nichol https://doi.org/10.1002/2015JD023082
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