TY - JOUR
T1 - Improving the image fusion procedure for high-spatiotemporal aerosol optical depth retrieval
T2 - A case study of urban area in Taiwan
AU - Huang, Chih Yuan
AU - Ho, Hsuan Chi
AU - Lin, Tang Huang
N1 - Publisher Copyright:
© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Numerous studies employed remote sensing techniques on regional air quality in terms of aerosols, in particular, the observations from polar-orbiting satellites offer more detail on spatial distribution. Since the air pollutants/aerosols dramatically vary in location with time, diurnal observations on a timescale are restricted by the temporal resolution of the polar-orbiting satellite. To address this issue, this research proposes a spatially and temporally adaptive reflectance fusion model for measuring atmospheric properties to synthesize high-spatial-temporal resolution images from polar and geostationary satellite imagery for air quality monitoring. The reflectivity from short-wave infrared is employed to preserve the atmospheric effect within the fused image in the green band for further aerosol optical depth (AOD) retrieval. Taking the Landsat-8 Operational Land Imager as the reference, the spatial resolution of the Himawari-8 Advanced Himawari Imager (in kilometers) can thus be resampled into 30 m every 10 min during the daytime, by considering the surface bidirectional reflectivity from the variation of the solar zenith angle. The AOD retrieved with fused images containing atmospheric effect could have a better performance after comparison with in situ measurements, and therefore, be suggested for high-spatial-temporal aerosol monitoring.
AB - Numerous studies employed remote sensing techniques on regional air quality in terms of aerosols, in particular, the observations from polar-orbiting satellites offer more detail on spatial distribution. Since the air pollutants/aerosols dramatically vary in location with time, diurnal observations on a timescale are restricted by the temporal resolution of the polar-orbiting satellite. To address this issue, this research proposes a spatially and temporally adaptive reflectance fusion model for measuring atmospheric properties to synthesize high-spatial-temporal resolution images from polar and geostationary satellite imagery for air quality monitoring. The reflectivity from short-wave infrared is employed to preserve the atmospheric effect within the fused image in the green band for further aerosol optical depth (AOD) retrieval. Taking the Landsat-8 Operational Land Imager as the reference, the spatial resolution of the Himawari-8 Advanced Himawari Imager (in kilometers) can thus be resampled into 30 m every 10 min during the daytime, by considering the surface bidirectional reflectivity from the variation of the solar zenith angle. The AOD retrieved with fused images containing atmospheric effect could have a better performance after comparison with in situ measurements, and therefore, be suggested for high-spatial-temporal aerosol monitoring.
KW - Himawari-8 Advanced Himawari Imager
KW - Landsat-8 Operational Land Imager
KW - aerosol optical depth
KW - atmospheric effect
KW - high-spatial-temporal image fusion
KW - short-wave infrared spectrum
UR - http://www.scopus.com/inward/record.url?scp=85053333575&partnerID=8YFLogxK
U2 - 10.1117/1.JRS.12.042605
DO - 10.1117/1.JRS.12.042605
M3 - 期刊論文
AN - SCOPUS:85053333575
SN - 1931-3195
VL - 12
JO - Journal of Applied Remote Sensing
JF - Journal of Applied Remote Sensing
IS - 4
M1 - 042605
ER -