Correlation between GNSS-R reflectance and PM10 during forest fires
This paper studied the 2019 Australian wildfire event and used atmospheric particulate matter(PM)concentration data and surface reflectance data inverted by global navigation satellite system reflectometry(GNSS-R)from weather stations in Sydney and Brisbane between July 18 and December 31,2019.The paper used sliding average and sliding standard deviation analysis methods to explore the correlation between the data.The results show that the correlation between PM10 concentration and surface reflectance is less than 30%before the outbreak of fire.After the outbreak of fire,the correlation is significantly enhanced,and the correlation coefficient exceeds 65%.From the perspective of data fluctuation amplitude,the correlation between PM10 concentration and surface reflectance before and after the outbreak of fire is above 50%and above 80%,respectively,but there is a significant phase difference.This paper proves that the change in PM10 concentration has a significant impact on the surface reflectance inverted by GNSS-R,especially when the PM10 concentration is high.This discovery provides a new theoretical basis and practical method for remote sensing monitoring of fire and has significant innovative significance.
global navigation satellite system reflectometry(GNSS-R)surface reflectancePM10correlation
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