Articles | Volume 4, issue 6
https://doi.org/10.5194/amt-4-1133-2011
© Author(s) 2011. 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-4-1133-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
17 Jun 2011
Research article |
| 17 Jun 2011
Remote sensing of aerosols over snow using infrared AATSR observations
L. G. Istomina
Institute of Environmental Physics, University of Bremen, Bremen, Germany
W. von Hoyningen-Huene
Institute of Environmental Physics, University of Bremen, Bremen, Germany
A. A. Kokhanovsky
Institute of Environmental Physics, University of Bremen, Bremen, Germany
E. Schultz
Institute of Mineralogy and Geochemistry, KIT Karlsruhe, Germany
J. P. Burrows
Institute of Environmental Physics, University of Bremen, Bremen, Germany
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- A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land G. Zhong et al. 10.3390/rs9060524
- Improved cloud detection over sea ice and snow during Arctic summer using MERIS data L. Istomina et al. 10.5194/amt-13-6459-2020
- Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang et al. 10.5194/amt-16-6051-2023
- Generalization of Results of Atmospheric Aerosol Optical Depth Measurements on Spitsbergen Archipelago in 2011–2016 S. Sakerin et al. 10.1134/S1024856018020112
- Aerosol optical depth retrieval in the Arctic region using MODIS data over snow L. Mei et al. 10.1016/j.rse.2012.10.009
- Trends and classification of aerosol observed from MODIS sensor over Northern Europe and the Arctic K. Han et al. 10.1016/j.apr.2024.102329
- A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data G. Zhong et al. 10.3390/rs8120998
- Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model L. Mei et al. 10.1109/TGRS.2020.2972339
- Role of the scattering phase function in the remote sensing of non-spherical dust aerosols K. Lee 10.3938/jkps.62.966
- Aerosol Optical Depth Over the Nepalese Cryosphere Derived From an Empirical Model B. Bhattarai et al. 10.3389/feart.2019.00178
- Contribution of light-absorbing impurities in snow to Greenland’s darkening since 2009 M. Dumont et al. 10.1038/ngeo2180
- Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations B. Swain et al. 10.5194/amt-17-359-2024
- Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface C. Crawford et al. 10.5194/amt-12-1913-2019
- Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results L. Mei et al. 10.1016/j.rse.2016.11.015
- A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data L. Mei et al. 10.1016/j.rse.2016.11.016
- Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
- Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017) L. Sogacheva et al. 10.5194/acp-18-11389-2018
- Modeling Extreme Warm‐Air Advection in the Arctic During Summer: The Effect of Mid‐Latitude Pollution Inflow on Cloud Properties E. Bossioli et al. 10.1029/2020JD033291
- Aerosols in the central Arctic cryosphere: satellite and model integrated insights during Arctic spring and summer B. Swain et al. 10.5194/acp-24-5671-2024
- Updated Arctic melt pond fraction dataset and trends 2002–2023 using ENVISAT and Sentinel-3 remote sensing data L. Istomina et al. 10.5194/tc-19-83-2025
- Melt pond fractions on Arctic summer sea ice retrieved from Sentinel-3 satellite data with a constrained physical forward model H. Niehaus et al. 10.5194/tc-18-933-2024
- Deriving a Global and Hourly Data Set of Aerosol Optical Depth Over Land Using Data From Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8 Y. Xie et al. 10.1109/TGRS.2019.2944949
- Aerosol optical properties and precipitable water vapor column in the atmosphere of Norway D. Muyimbwa et al. 10.1364/AO.54.001505
23 citations as recorded by crossref.
- On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. 10.1016/j.rse.2020.111731
- Development of an image based integrated method for determining and mapping aerosol optical thickness (AOT) over urban areas using the darkest pixel atmospheric correction method, RT equation and GIS: A case study of the Limassol area in Cyprus K. Themistocleous & D. Hadjimitsis 10.1016/j.isprsjprs.2013.08.011
- A Dark Target Algorithm for the GOSAT TANSO-CAI Sensor in Aerosol Optical Depth Retrieval over Land G. Zhong et al. 10.3390/rs9060524
- Improved cloud detection over sea ice and snow during Arctic summer using MERIS data L. Istomina et al. 10.5194/amt-13-6459-2020
- Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang et al. 10.5194/amt-16-6051-2023
- Generalization of Results of Atmospheric Aerosol Optical Depth Measurements on Spitsbergen Archipelago in 2011–2016 S. Sakerin et al. 10.1134/S1024856018020112
- Aerosol optical depth retrieval in the Arctic region using MODIS data over snow L. Mei et al. 10.1016/j.rse.2012.10.009
- Trends and classification of aerosol observed from MODIS sensor over Northern Europe and the Arctic K. Han et al. 10.1016/j.apr.2024.102329
- A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data G. Zhong et al. 10.3390/rs8120998
- Retrieval of Aerosol Optical Thickness in the Arctic Snow-Covered Regions Using Passive Remote Sensing: Impact of Aerosol Typing and Surface Reflection Model L. Mei et al. 10.1109/TGRS.2020.2972339
- Role of the scattering phase function in the remote sensing of non-spherical dust aerosols K. Lee 10.3938/jkps.62.966
- Aerosol Optical Depth Over the Nepalese Cryosphere Derived From an Empirical Model B. Bhattarai et al. 10.3389/feart.2019.00178
- Contribution of light-absorbing impurities in snow to Greenland’s darkening since 2009 M. Dumont et al. 10.1038/ngeo2180
- Retrieval of aerosol optical depth over the Arctic cryosphere during spring and summer using satellite observations B. Swain et al. 10.5194/amt-17-359-2024
- Radiometric calibration of a non-imaging airborne spectrometer to measure the Greenland ice sheet surface C. Crawford et al. 10.5194/amt-12-1913-2019
- Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results L. Mei et al. 10.1016/j.rse.2016.11.015
- A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data L. Mei et al. 10.1016/j.rse.2016.11.016
- Aerosol remote sensing in polar regions C. Tomasi et al. 10.1016/j.earscirev.2014.11.001
- Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017) L. Sogacheva et al. 10.5194/acp-18-11389-2018
- Modeling Extreme Warm‐Air Advection in the Arctic During Summer: The Effect of Mid‐Latitude Pollution Inflow on Cloud Properties E. Bossioli et al. 10.1029/2020JD033291
- Aerosols in the central Arctic cryosphere: satellite and model integrated insights during Arctic spring and summer B. Swain et al. 10.5194/acp-24-5671-2024
- Updated Arctic melt pond fraction dataset and trends 2002–2023 using ENVISAT and Sentinel-3 remote sensing data L. Istomina et al. 10.5194/tc-19-83-2025
- Melt pond fractions on Arctic summer sea ice retrieved from Sentinel-3 satellite data with a constrained physical forward model H. Niehaus et al. 10.5194/tc-18-933-2024
2 citations as recorded by crossref.
- Deriving a Global and Hourly Data Set of Aerosol Optical Depth Over Land Using Data From Four Geostationary Satellites: GOES-16, MSG-1, MSG-4, and Himawari-8 Y. Xie et al. 10.1109/TGRS.2019.2944949
- Aerosol optical properties and precipitable water vapor column in the atmosphere of Norway D. Muyimbwa et al. 10.1364/AO.54.001505
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