@inproceedings{fa4774a1c2ae402cae5cc2a4c2d0f8db,
title = "Retrieval of aerosol optical depth over the Yangtze River Delta with HJ-1 data",
abstract = "Aerosol optical depth (AOD) is a key indicator of atmospheric environment. Aerosol remote sensing is the most efficient way to obtain the temporal and spatial distributions of AOD. In this paper, the data from Environment Satellite (HJ-1) CCD camera were employed to retrieve AOD by using deep blue algorithm over the Yangtze River Delta. The third band (in blue) was firstly extracted from the MODIS land surface reflectance product (MOD09) and then converted to the first band of CCD/HJ-1. According to the characteristics of the study area and CCD data, a multi-dimension look up table was then built by the Second Simulation of the Satellite Signal in the Solar Spectrum (6S). AOD over the Yangtze River Delta were finally retrieved from the radiance of the first band of CCD/HJ-1. After the retrieved AOD were validated by the MODIS AOD product (MOD04), the correlation coefficient (R) is 0.64 by regression of all cloud screened pixels (1147). The retrieved AOD has a higher spatial resolution than the MODIS AOD and thus can provide more detailed information. Compared with the AERONET ground observation data, the retrieved AOD is closer to the ground-based data than the MODIS AOD.",
keywords = "Aerosol optical depth, HJ-1 satellite, Surface reflectance, Yangtze river delta",
author = "Lu Zhang and Runhe Shi and Yongming Xu and Long Li and Wei Gao",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Remote Sensing and Modeling of Ecosystems for Sustainability XI ; Conference date: 18-08-2014 Through 20-08-2014",
year = "2014",
doi = "10.1117/12.2061169",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jinnian Wang and Ni-Bin Chang and Wei Gao",
booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability XI",
address = "美国",
}