Articles | Volume 7, issue 20
https://doi.org/10.5194/acp-7-5467-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Special issue:
https://doi.org/10.5194/acp-7-5467-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
25 Oct 2007
Analysis of Visible/SWIR surface reflectance ratios for aerosol retrievals from satellite in Mexico City urban area
A. D. de Almeida Castanho
Massachusetts Institute of Technology, USA
R. Prinn
Massachusetts Institute of Technology, USA
V. Martins
NASA/Goddard Space Flight Center, Greenbelt, Maryland, USA
JCET, University of Maryland Baltimore County, USA
M. Herold
Friedrich-Schiller-University Jena, Germany
C. Ichoku
NASA/Goddard Space Flight Center, Greenbelt, Maryland, USA
University of Maryland, College Park, Maryland, USA
L. T. Molina
Molina Center for Energy and the Environment, USA
Massachusetts Institute of Technology, USA
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- An overview of the MILAGRO 2006 Campaign: Mexico City emissions and their transport and transformation L. Molina et al. 10.5194/acp-10-8697-2010
- Comparison of aerosol optical depths from the Ozone Monitoring Instrument (OMI) on Aura with results from airborne sunphotometry, other space and ground measurements during MILAGRO/INTEX-B J. Livingston et al. 10.5194/acp-9-6743-2009
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- Adaption of the MODIS aerosol retrieval algorithm using airborne spectral surface reflectance measurements over urban areas: a case study E. Jäkel et al. 10.5194/amt-8-5237-2015
- Automated Low-Cost LED-Based Sun Photometer for City Scale Distributed Measurements C. Garrido et al. 10.3390/rs13224585
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- Early evaluation of the VIIRS calibration, cloud mask and surface reflectance Earth data records E. Vermote et al. 10.1016/j.rse.2014.03.028
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- Pan-Sharpening of Landsat-8 Images and Its Application in Calculating Vegetation Greenness and Canopy Water Contents K. Rahaman et al. 10.3390/ijgi6060168
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