PMID- 35590973
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220523
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 22
IP  - 9
DP  - 2022 Apr 25
TI  - QUantitative and Automatic Atmospheric Correction (QUAAC): Application and 
      Validation.
LID - 10.3390/s22093280 [doi]
LID - 3280
AB  - The difficulty of atmospheric correction based on a radiative transfer model lies 
      in the acquisition of synchronized atmospheric parameters, especially the aerosol 
      optical depth (AOD). At the moment, there is no fully automatic and 
      high-efficiency atmospheric correction method to make full use of the advantages 
      of geostationary meteorological satellites in large-scale and efficient 
      atmospheric monitoring. Therefore, a QUantitative and Automatic Atmospheric 
      Correction (QUAAC) method is proposed which can efficiently correct 
      high-spatial-resolution (HSR) satellite images. QUAAC uses the atmospheric 
      aerosol products of geostationary satellites to match the synchronized AOD 
      according to the temporal and spatial information of HSR satellite images. This 
      method solves the problem that the AOD is difficult to obtain or the accuracy is 
      not high enough to meet the demand of atmospheric correction. By using the 
      obtained atmospheric parameters, atmospheric correction is performed to obtain 
      the surface reflectance (SR). The whole process can achieve fully automatic 
      operation without manual intervention. After QUAAC applied to Gaofen-2 (GF-2) HSR 
      satellite and Himawari-8 (H-8) geostationary satellite, the results show that the 
      effect of QUAAC correction is slightly better than that of the Fast Line-of-sight 
      Atmospheric Analysis of Spectral Hypercubes (FLAASH) correction, and the 
      QUAAC-corrected surface spectral curves have good coherence to that of the 
      synchronously measured by field experiments.
FAU - Liu, Shumin
AU  - Liu S
AD  - School of Software Engineering, Jiangxi University of Science and Technology, 
      Nanchang 330013, China.
FAU - Zhang, Yunli
AU  - Zhang Y
AD  - School of Software Engineering, Jiangxi University of Science and Technology, 
      Nanchang 330013, China.
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
FAU - Zhao, Limin
AU  - Zhao L
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
FAU - Chen, Xingfeng
AU  - Chen X
AUID- ORCID: 0000-0002-9035-363X
AD  - School of Software Engineering, Jiangxi University of Science and Technology, 
      Nanchang 330013, China.
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
FAU - Zhou, Ruoxuan
AU  - Zhou R
AD  - School of Software Engineering, Jiangxi University of Science and Technology, 
      Nanchang 330013, China.
FAU - Zheng, Fengjie
AU  - Zheng F
AD  - School of Space Information, Space Engineering University, Beijing 101416, China.
FAU - Li, Zhiliang
AU  - Li Z
AD  - School of Space Information, Space Engineering University, Beijing 101416, China.
FAU - Li, Jiaguo
AU  - Li J
AD  - School of Software Engineering, Jiangxi University of Science and Technology, 
      Nanchang 330013, China.
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
FAU - Yang, Hang
AU  - Yang H
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
FAU - Li, Huafu
AU  - Li H
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
FAU - Yang, Jian
AU  - Yang J
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
FAU - Gao, Hailiang
AU  - Gao H
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
FAU - Gu, Xingfa
AU  - Gu X
AD  - Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 
      100101, China.
AD  - University of Chinese Academy of Sciences, Beijing 100049, China.
AD  - School of Remote Sensing and Information Engineering, North China Institute of 
      Aerospace Engineering, Langfang 065000, China.
LA  - eng
GR  - Grant No. 42171342/National Natural Science Foundation of China/
GR  - Grant No. 41871352/National Natural Science Foundation of China/
GR  - Grant No. 61761021/National Natural Science Foundation of China/
GR  - Grant No. 2019YFE0126600/National Key Research and Development Program of China/
PT  - Journal Article
DEP - 20220425
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC9100192
OTO - NOTNLM
OT  - FLAASH
OT  - aerosol optical thickness
OT  - atmospheric correction
OT  - radiative transfer model
OT  - surface reflectance
COIS- The authors declare no conflict of interest. The funders had no role in the 
      design of the study; in the collection, analyses, or interpretation of data; in 
      the writing of the manuscript, or in the decision to publish the results.
EDAT- 2022/05/21 06:00
MHDA- 2022/05/21 06:01
PMCR- 2022/04/25
CRDT- 2022/05/20 01:10
PHST- 2022/04/12 00:00 [received]
PHST- 2022/04/20 00:00 [revised]
PHST- 2022/04/22 00:00 [accepted]
PHST- 2022/05/20 01:10 [entrez]
PHST- 2022/05/21 06:00 [pubmed]
PHST- 2022/05/21 06:01 [medline]
PHST- 2022/04/25 00:00 [pmc-release]
AID - s22093280 [pii]
AID - sensors-22-03280 [pii]
AID - 10.3390/s22093280 [doi]
PST - epublish
SO  - Sensors (Basel). 2022 Apr 25;22(9):3280. doi: 10.3390/s22093280.