Retrieval of aerosol optical thickness using MODIS 500 × 500m2, a study in Hong Kong and Pearl River delta region

M. Wong, J. Nichol, Kwonho Lee, Zhanqing Li
{"title":"Retrieval of aerosol optical thickness using MODIS 500 × 500m2, a study in Hong Kong and Pearl River delta region","authors":"M. Wong, J. Nichol, Kwonho Lee, Zhanqing Li","doi":"10.1109/EORSA.2008.4620353","DOIUrl":null,"url":null,"abstract":"Aerosol detection and monitoring by satellite observations has been substantially developed over past decades. While several state-of-art aerosol retrieval techniques provide aerosol properties in global scale, the more detail characteristics remain unknown because most of the satellite sensors are limited to 1 km resolution observations. However, a new aerosol retrieval algorithm for the Moderate Resolution Imaging Spectroradiometer (MODIS) 500 m resolution data is developed to retrieve aerosol properties over land, which helps address the aerosol climatic issues on the local/urban scale. The rationale of our technique is to first estimate the aerosol reflectances by decomposing the top-of-atmosphere (TOA) reflectance from surface reflectance and Rayleigh path radiance. The modified Minimum Reflectance Technique (MRT) is adopted for the determination of the seasonal surface reflectances. A good agreement is revealed between the surface reflectances of MRT images and MODIS land surface reflectance products (MOD09), with a strong correlation of 0.9. Moreover, comprehensive look up tables (LUT) are constructed with the considerations of various aerosol optical properties and sun-viewing geometry in the radiative transfer calculations. The resulting 500 m aerosol optical thickness (AOT) data are highly correlated (r=0.94) with the AERONET sunphotometer observations in Hong Kong. This study demonstrates the applicability of aerosol retrieval at fine resolution in urban areas, which can assist the study of aerosol loading distribution and the impact of transient pollution on urban air quality. In addition, the MODIS 500 m AOT images can also be used to study the cross-boundary aerosols and feasible on locating the pollutant sources in the Pearl River Delta (PRD) region.","PeriodicalId":142612,"journal":{"name":"2008 International Workshop on Earth Observation and Remote Sensing Applications","volume":"60 12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Workshop on Earth Observation and Remote Sensing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EORSA.2008.4620353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Aerosol detection and monitoring by satellite observations has been substantially developed over past decades. While several state-of-art aerosol retrieval techniques provide aerosol properties in global scale, the more detail characteristics remain unknown because most of the satellite sensors are limited to 1 km resolution observations. However, a new aerosol retrieval algorithm for the Moderate Resolution Imaging Spectroradiometer (MODIS) 500 m resolution data is developed to retrieve aerosol properties over land, which helps address the aerosol climatic issues on the local/urban scale. The rationale of our technique is to first estimate the aerosol reflectances by decomposing the top-of-atmosphere (TOA) reflectance from surface reflectance and Rayleigh path radiance. The modified Minimum Reflectance Technique (MRT) is adopted for the determination of the seasonal surface reflectances. A good agreement is revealed between the surface reflectances of MRT images and MODIS land surface reflectance products (MOD09), with a strong correlation of 0.9. Moreover, comprehensive look up tables (LUT) are constructed with the considerations of various aerosol optical properties and sun-viewing geometry in the radiative transfer calculations. The resulting 500 m aerosol optical thickness (AOT) data are highly correlated (r=0.94) with the AERONET sunphotometer observations in Hong Kong. This study demonstrates the applicability of aerosol retrieval at fine resolution in urban areas, which can assist the study of aerosol loading distribution and the impact of transient pollution on urban air quality. In addition, the MODIS 500 m AOT images can also be used to study the cross-boundary aerosols and feasible on locating the pollutant sources in the Pearl River Delta (PRD) region.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用MODIS 500 × 500m2反演香港及珠三角地区气溶胶光学厚度的研究
在过去的几十年里,卫星观测的气溶胶探测和监测已经有了很大的发展。虽然一些最先进的气溶胶检索技术提供了全球尺度的气溶胶特性,但由于大多数卫星传感器仅限于1公里分辨率的观测,因此更多的细节特征仍然未知。然而,针对中分辨率成像光谱仪(MODIS) 500 m分辨率数据,本文开发了一种新的气溶胶检索算法,用于检索陆地气溶胶特性,这有助于解决局地/城市尺度上的气溶胶气候问题。我们的技术原理是首先通过分解大气顶反射率和瑞利路径辐射来估计气溶胶反射率。采用改进的最小反射率技术(MRT)测定季节地表反射率。MRT影像的地表反射率与MODIS地表反射率产品(MOD09)具有较好的一致性,相关性为0.9。此外,在辐射传输计算中考虑了各种气溶胶光学性质和太阳观测几何形状,构建了综合查表(LUT)。所得的500米气溶胶光学厚度(AOT)资料与AERONET太阳光度计在香港的观测高度相关(r=0.94)。本研究验证了细分辨率气溶胶反演在城市地区的适用性,有助于研究气溶胶负荷分布和瞬态污染对城市空气质量的影响。此外,MODIS 500 m AOT影像也可用于研究跨境气溶胶,在珠江三角洲地区的污染源定位上是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An efficient multi-scale segmentation for high-resolution remote sensing imagery based on Statistical Region Merging and Minimum Heterogeneity Rule Ground truth extraction from LiDAR data for image orthorectification Investigation of diversity and accuracy in ensemble of classifiers using Bayesian decision rules Hyperspectral degraded soil line index and soil degradation mapping in agriculture-pasture mixed area in Northern China Classification of grassland types in ibet by MODIS time-series images
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1