Paper Info
Title
The improved synergetic retrieval of aerosol properties algorithm
Abstract
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.
Year
DOI
Venue
2013
10.1109/IGARSS.2013.6721226
IGARSS
Keywords
Field
DocType
radiometry,national center for environmental prediction,remote sensing,wavelength 0.47 mum,spatial variability test,atmospheric techniques,synergetic retrieval of aerosol properties method,quality assurance,synergetic retrieval of aerosol properties (srap),wavelength 1.38 mum,aerosol optical depth,ncep analysis ancillary data,aerosols,land surfaces,modis data,srap method,cloud mask,gas absorption correction,aerosol optical depth (aod),aod maps,satellite monitoring capabilities,absorption,reflectivity
Meteorology,Satellite,Optical depth,Ancillary data,Absolute value,Computer science,Remote sensing,Aerosol,Algorithm,Radiometry,Spatial variability,Cloud computing
Conference
Volume
Issue
ISSN
null
null
2153-6996
ISBN
Citations 
PageRank 
978-1-4799-1114-1
1
0.42
References 
Authors
2
7
Name
Order
Citations
PageRank
Xingwei He122.55
Yong Xue211857.61
Jie Guang35026.12
Leiku Yang4108.17
Linlu Mei53414.31
Linlu Mei610.42
Jia Liu7105.97