A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia

A NOAA/AVHRR dual-channel method over land is proposed to simultaneously retrieve aerosol optical depth (AOD) at 0.55 μm, and surface reflectance at 0.63 and 0.85 μm. Compared with previous well-established one-channel retrieval algorithms, this algorithm takes advantage of the surface reflectance r...

Full description

Bibliographic Details
Main Authors: Ying Wang, Xingfa Gu, Jian Li, Xiaofei Mi
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/3/365
id doaj-25373dde21f84ab1a012cefcc14542b9
record_format Article
spelling doaj-25373dde21f84ab1a012cefcc14542b92021-01-22T00:05:11ZengMDPI AGRemote Sensing2072-42922021-01-011336536510.3390/rs13030365A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern AsiaYing Wang0Xingfa Gu1Jian Li2Xiaofei Mi3State Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaState Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaA NOAA/AVHRR dual-channel method over land is proposed to simultaneously retrieve aerosol optical depth (AOD) at 0.55 μm, and surface reflectance at 0.63 and 0.85 μm. Compared with previous well-established one-channel retrieval algorithms, this algorithm takes advantage of the surface reflectance ratio between 0.63 and 0.85 μm in an attempt to account for the effect induced by the surface bidirectional reflectance distribution function (BRDF). This effect cannot be negligible due to the orbit drift and phasing running of NOAA satellites, both of which potentially cause large solar angular variation. Meanwhile, the observation posture change of AVHRR would cause large sensor angular variation in time series measurements. The used surface reflectance ratio based on dual channels at 0.63 and 0.85 μm is found more reasonable to be assumed as unchanged during a certain period of time, compared to the traditional ratio when addressing the BRDF issue. AOD retrievals have been carried out over Eastern Asia. Validation against aerosol robotic network (AERONET) measurements shows that up to 83% of AOD validation collocations are within error lines (±0.15 ± 0.15τ, τ is AOD) with an R of 0.88 and an root mean square error (RMSE) of 0.15. The dual-channel algorithm taking into account the surface BRDF effect is proved outperforming the conventional 0.63 μm-channel method. It indicates that our algorithm has the potential to be applied to the retrieval of long series of AOD, especially to the AOD retrieval of the sensors which lack a shortwave infrared channel required in the MODerate resolution Imaging Spectroradiometer (MODIS) dark target AOD algorithm.https://www.mdpi.com/2072-4292/13/3/365aerosol optical depthsurface bidirectional reflectance distribution functionremote sensing retrievaltime series measurements
collection DOAJ
language English
format Article
sources DOAJ
author Ying Wang
Xingfa Gu
Jian Li
Xiaofei Mi
spellingShingle Ying Wang
Xingfa Gu
Jian Li
Xiaofei Mi
A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia
Remote Sensing
aerosol optical depth
surface bidirectional reflectance distribution function
remote sensing retrieval
time series measurements
author_facet Ying Wang
Xingfa Gu
Jian Li
Xiaofei Mi
author_sort Ying Wang
title A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia
title_short A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia
title_full A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia
title_fullStr A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia
title_full_unstemmed A Dual-Channel Aerosol Optical Depth Retrieval Algorithm Incorporating the BRDF Effect from AVHRR over Eastern Asia
title_sort dual-channel aerosol optical depth retrieval algorithm incorporating the brdf effect from avhrr over eastern asia
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2021-01-01
description A NOAA/AVHRR dual-channel method over land is proposed to simultaneously retrieve aerosol optical depth (AOD) at 0.55 μm, and surface reflectance at 0.63 and 0.85 μm. Compared with previous well-established one-channel retrieval algorithms, this algorithm takes advantage of the surface reflectance ratio between 0.63 and 0.85 μm in an attempt to account for the effect induced by the surface bidirectional reflectance distribution function (BRDF). This effect cannot be negligible due to the orbit drift and phasing running of NOAA satellites, both of which potentially cause large solar angular variation. Meanwhile, the observation posture change of AVHRR would cause large sensor angular variation in time series measurements. The used surface reflectance ratio based on dual channels at 0.63 and 0.85 μm is found more reasonable to be assumed as unchanged during a certain period of time, compared to the traditional ratio when addressing the BRDF issue. AOD retrievals have been carried out over Eastern Asia. Validation against aerosol robotic network (AERONET) measurements shows that up to 83% of AOD validation collocations are within error lines (±0.15 ± 0.15τ, τ is AOD) with an R of 0.88 and an root mean square error (RMSE) of 0.15. The dual-channel algorithm taking into account the surface BRDF effect is proved outperforming the conventional 0.63 μm-channel method. It indicates that our algorithm has the potential to be applied to the retrieval of long series of AOD, especially to the AOD retrieval of the sensors which lack a shortwave infrared channel required in the MODerate resolution Imaging Spectroradiometer (MODIS) dark target AOD algorithm.
topic aerosol optical depth
surface bidirectional reflectance distribution function
remote sensing retrieval
time series measurements
url https://www.mdpi.com/2072-4292/13/3/365
work_keys_str_mv AT yingwang adualchannelaerosolopticaldepthretrievalalgorithmincorporatingthebrdfeffectfromavhrrovereasternasia
AT xingfagu adualchannelaerosolopticaldepthretrievalalgorithmincorporatingthebrdfeffectfromavhrrovereasternasia
AT jianli adualchannelaerosolopticaldepthretrievalalgorithmincorporatingthebrdfeffectfromavhrrovereasternasia
AT xiaofeimi adualchannelaerosolopticaldepthretrievalalgorithmincorporatingthebrdfeffectfromavhrrovereasternasia
AT yingwang dualchannelaerosolopticaldepthretrievalalgorithmincorporatingthebrdfeffectfromavhrrovereasternasia
AT xingfagu dualchannelaerosolopticaldepthretrievalalgorithmincorporatingthebrdfeffectfromavhrrovereasternasia
AT jianli dualchannelaerosolopticaldepthretrievalalgorithmincorporatingthebrdfeffectfromavhrrovereasternasia
AT xiaofeimi dualchannelaerosolopticaldepthretrievalalgorithmincorporatingthebrdfeffectfromavhrrovereasternasia
_version_ 1724329466068467712