The improved synergetic retrieval of aerosol properties algorithm

In recent years the satellite monitoring capabilities in particular to derive maps of aerosol optical depth (AOD) have increased tremendously. There are many aerosol retrieval algorithms for different satellites and sensors such as Dark-Target method (DT), Deep Blue, etc. In this paper, we used an i...

Full description

Saved in:
Bibliographic Details
Published in2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS pp. 593 - 596
Main Authors Xingwei He, Yong Xue, Jie Guang, Leiku Yang, Linlu Mei, Jia Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2013
Subjects
Absorption
aerosol optical depth (AOD)
Aerosols
Clouds
gas absorption correction
Land surface
MODIS
quality assurance
Reflectivity
Sea surface
Synergetic Retrieval of Aerosol Properties (SRAP)
Online AccessGet full text

Cover

More Information
Summary:In recent years the satellite monitoring capabilities in particular to derive maps of aerosol optical depth (AOD) have increased tremendously. There are many aerosol retrieval algorithms for different satellites and sensors such as Dark-Target method (DT), Deep Blue, etc. In this paper, we used an improved approach called the Synergetic Retrieval of Aerosol Properties (SRAP) method to retrieve aerosol properties over land surfaces by using the MODIS data. The improvement of the SRAP method include the following respects: 1) Considering the importance of gas absorption correction, we use ancillary data acquired from National Center for Environmental Prediction (NCEP) analyses to correct the effect of gas absorption. 2) A new cloud mask based on a spatial variability test as well as the absolute value at the 0.47 μm and the 1.38 μm bands were implemented in the SRAP algorithm.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2013.6721226