TY - GEN
T1 - Use of Monte Carlo simulation in remote sensing data analysis
AU - Ebrahimi, Hamideh
AU - Aslebagh, Shadi
AU - Jones, Linwood
PY - 2013
Y1 - 2013
N2 - In the summer of 2011, the Aquarius earth science satellite was launched to measure Sea Surface Salinity (SSS) using a L-band microwave radiometer/scatterometer. This is an important oceanic parameter for monitoring the earth's water cycle over oceans and for modeling global climate change. The microwave remote sensing of SSS is a challenging objective. The SSS signal is weak and there are many interfering error sources that must be corrected to achieve an accurate SSS measurement. This paper deals with the use of random processes theory for assessing the effects of rainfall on the retrieved SSS. In this paper we use the Monte Carlo method that is one of the best methods for analysis of random processes, to investigate the multilayer effect caused by rainfall on the L-band brightness temperature and the resulting SSS retrieval.
AB - In the summer of 2011, the Aquarius earth science satellite was launched to measure Sea Surface Salinity (SSS) using a L-band microwave radiometer/scatterometer. This is an important oceanic parameter for monitoring the earth's water cycle over oceans and for modeling global climate change. The microwave remote sensing of SSS is a challenging objective. The SSS signal is weak and there are many interfering error sources that must be corrected to achieve an accurate SSS measurement. This paper deals with the use of random processes theory for assessing the effects of rainfall on the retrieved SSS. In this paper we use the Monte Carlo method that is one of the best methods for analysis of random processes, to investigate the multilayer effect caused by rainfall on the L-band brightness temperature and the resulting SSS retrieval.
KW - Monte Carlo simulation
KW - Sea Surface Salinity
KW - multilayer media effect
KW - ocean brightness temperature
UR - https://www.scopus.com/pages/publications/84883215745
U2 - 10.1109/SECON.2013.6567506
DO - 10.1109/SECON.2013.6567506
M3 - Conference contribution
AN - SCOPUS:84883215745
SN - 9781479900527
T3 - Conference Proceedings - IEEE SOUTHEASTCON
BT - IEEE SoutheastCon 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE SoutheastCon 2013: Moving America into the Future
Y2 - 4 April 2013 through 7 April 2013
ER -