Detection of severe air pollution from multidirectional perspectives

This work intends to consider the retrieval algorithms of remote sensing for severe air pollutions. In these cases mixture of aerosols and clouds, namely aerosols in cloudy scenes and/or clouds in heavy aerosol episode, are often occurred. Aerosol retrieval in the hazy atmosphere has been achieved based on radiation simulation method of successive order of scattering (MSOS). JAXA has been developing the new Earth observing system GCOM−C satellite. GCOM−C will be launched in early of 2017 and board the polarization sensor SGLI. The SGLI has multi (19)-channels as MODIS and measures polarized reflected sunlight at wavelengths of 0.679 μm and 0.869 μm as POLDER. The radiance and polarization degree are taken into account here in the severe biomass burning episode over Borneo islands in Indonesia observed by PARASOL / POLDER and Aqua/MODIS. As a result the possibility of JAXA / GCOM−C / SGLI related to remote sensing for a mixture case of aerosols and clouds can be examined.

[1]  Multiple scattering in a dense aerosol atmosphere , 2012 .

[2]  M. Herman,et al.  Cloud detection and derivation of cloud properties from POLDER , 1997 .

[3]  Jean-Claude Buriez,et al.  First results of the POLDER "Earth Radiation Budget and Clouds" operational algorithm , 1999, IEEE Trans. Geosci. Remote. Sens..

[4]  T. Littmann Dust storm frequency in Asia: Climatic control and variability , 2007 .

[5]  Sonoyo Mukai,et al.  Detection and/or distinction between haze and/or cloud , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[6]  S. Mukai,et al.  Estimation of Biomass Burning Influence on Air Pollution around Beijing from an Aerosol Retrieval Model , 2014, TheScientificWorldJournal.

[7]  S. Page,et al.  The amount of carbon released from peat and forest fires in Indonesia during 1997 , 2002, Nature.

[8]  Jing Fu Guo,et al.  Merging aerosol optical depth data from multiple satellite missions to view agricultural biomass burning in Central and East China , 2012 .

[9]  K. Lee,et al.  Satellite remote sensing of Asian aerosols : a case study of clean , polluted and dust storm days , 2010 .

[10]  A. Kokhanovsky,et al.  Retrieval of aerosol episode due to agriculture biomass burning in the east-central China , 2015 .

[11]  T. Eck,et al.  Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations , 2002 .

[12]  Kwon-Ho Lee,et al.  Satellite remote sensing of Asian aerosols: a case study of clean, polluted, and Asian dust storm days , 2010 .

[13]  D. Tanré,et al.  Retrieval of aerosol microphysical and optical properties above liquid clouds from POLDER/PARASOL polarization measurements , 2012 .

[14]  M. McCormick,et al.  Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements , 2005 .

[15]  A. Kokhanovsky,et al.  A study of aerosol pollution episode due to agriculture biomass burning in the east-central China using satellite data , 2015, Front. Environ. Sci..