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High resolution aerosol optical thickness retrieval over the Pearl River Delta region with improved aerosol modelling

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Science China Earth Sciences 2009年第10期52卷 1641-1649页

作者： WONG ManSing nichol janet LEE Kwon Ho Department of Land Surveying and Geo-Informatics The Hong Kong Polytechnic University Earth System Science Interdisciplinary Center University of Maryland (UMD)

Aerosol retrieval algorithms for the MODerate Resolution Imaging Spectroradiometer (MODIS) have been developed to estimate aerosol and microphysical properties of the atmosphere, which help to address aerosol climatic issues at global scale. However, higher spatial resolution aerosol products for urban areas have not been well researched mainly due to the difficulty of differentiating aerosols from bright surfaces in urban areas. Here, a new aerosol retrieval algorithm using the MODIS 500 m resolution images is described, to retrieve aerosol properties over Hong Kong and the Pearl River Delta region. The rationale of our technique is to first estimate the aerosol reflectance by decomposing the top-of-atmosphere reflectance from surface reflectance and Rayleigh path reflectance. For the determination of surface reflectance, a modified Minimum Reflectance Technique (MRT) is used, and MRT images are computed for different seasons. A strong correlation is shown between the surface reflectance of MRT images and MODIS land surface reflectance products (MOD09), with a value of 0.9. For conversion of aerosol reflectance to Aerosol Optical Thickness (AOT), comprehensive Look Up Tables (LUT) are constructed, in which aerosol properties and sun-viewing geometry in the radiative transfer calculations are taken into account. Four aerosol types, namely mixed urban, polluted urban, dust, and heavy pollution, were derived using cluster analysis on three years of AERONET measurements in Hong Kong. Their aerosol properties were input for LUT calculation. The resulting 500 m AOT images are highly correlated (r = 0.89) with AERONET sunphotometer observations in Hong Kong. This study demonstrates the applicability of aerosol retrieval at fine resolution scale in urban areas, which can assist the study of aerosol loading distribution and the impact of localized and transient pollution on urban air quality. In addition, the MODIS 500 m AOT images can be used to study cross-boundary aeroso

关键词： aerosol retrieval aerosol optical thickness AERONET MODIS satellite image

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崎岖地形动植物栖息地生态环境遥感制图与应用

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地球信息科学 2008年第4期10卷 527-532页

作者：黄文声 janet nichol 香港理工大学土地测量及地理资讯学系

传统制图方法周期长、成本较高,影响了大面积精细动植物栖息地生态环境制图的生产。鉴此,本文采用IKONOS(VHR)图像对香港郊野公园崎岖地形的动植物栖息地生态环境制图进行了研究。由于香港植被的多样性,而且观察的动植物相互作用出现于... 详细信息

传统制图方法周期长、成本较高,影响了大面积精细动植物栖息地生态环境制图的生产。鉴此,本文采用IKONOS(VHR)图像对香港郊野公园崎岖地形的动植物栖息地生态环境制图进行了研究。由于香港植被的多样性,而且观察的动植物相互作用出现于结构的层面,所以对动植物栖息地的分类应以结构为基础而非以植物为基础。本文利用图像处理技术,运用决策树之多层次地物导向分割分类(MOOSC)方法绘制九种动植物栖息地类型图。MOOSC方法和其他现有的几种分类方法相比,其分类精度高、成本低。

关键词：动植物栖息地生态环境制图 IKONOS 结构分类图像分割

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香港及珠三角地区MODIS高分辨率气溶胶光学厚度的反演

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环境科学学报 2009年第7期29卷 1372-1380页

作者：黄文声李真李权镐李占清郭嘉熙香港理工大学土地测量及地理资讯学系中国香港美国马里兰大学地球系统科学综合研究中心帕克分校美国

为了有效解决地区性和城市范围内的气溶胶分布并反演陆地上气溶胶的性质,一种针对中分辨率成像光谱辐射计(MODIS)的气溶胶反演新算法应运而生.本文首先通过改良的最小反射率技术(MRT)来确定季节性的地表反射率和利用瑞利通道辐射率中解... 详细信息

为了有效解决地区性和城市范围内的气溶胶分布并反演陆地上气溶胶的性质,一种针对中分辨率成像光谱辐射计(MODIS)的气溶胶反演新算法应运而生.本文首先通过改良的最小反射率技术(MRT)来确定季节性的地表反射率和利用瑞利通道辐射率中解析出大气上气溶胶的反射率来估计气溶胶的反射系数.结果表明,MRT地表反射率的图像和MODIS地表反射系数的产品(MOD09)有很好的契合度,两者的相关系数高达0.9.此外,考虑到不同气溶胶的光学性质和太阳观测组合对计算辐射传输的影响,本研究还制定了全面广泛的差算表(LUT).由此产生的卫星500m分辨率的气溶胶光学厚度(AOT)和香港太阳光度计(AERONET)及MicrotopsII观测资料的相关系数r分别为0.96和0.87(相伴概率值p<0.0001).该研究证明了城区高分辨率气溶胶反演的可行性,还能帮助研究气溶胶的分布和城区大气瞬态污染的影响.此外,MODIS500m分辨率的气溶胶光学厚度图像还可用于研究跨境气溶胶,使定位珠江三角洲区域污染源变得可行.

关键词： MODIS 气溶胶表观反射率香港

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Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China

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Geoscience Frontiers 2022年第2期13卷 165-185页

作者： Md.Arfan Ali Muhammad Bilal Yu Wang Zhongfeng Qiu janet E.nichol Gerrit de Leeuw Song Ke Alaa M.hawish Mansour Almazroui Usman Mazhar Birhanu Asmerom Habtemicheal M.Nazrul Islam Lab of Environmental Remote Sensing(LERS) School of Marine SciencesNanjing University of Information Science and TechnologyNanjing 210044China Department of Geography School of Global StudiesUniversity of SussexBrighton BN19RHUK Royal Netherlands Meteorological Institute(KNMI) R&D Satellite Observations3730AE De BiltThe Netherlands School of Atmospheric Physics Nanjing University of Information Science and TechnologyNanjing 210044China Aerospace Information Research Institute Chinese Academy of Sciences(AirCAS)No.20 Datun RoadChaoyang DistrictBeijing 100101China School of Environment Science and Spatial Informatics University of Mining and TechnologyXuzhouJiangsu 221116China Geological Survey of Jiangsu Province Nanjing 210018China Center of Excellence for Climate Change Research/Department of Meteorology King Abdulaziz UniversityJeddah 21589Saudi Arabia Climatic Research Unit School of Environmental SciencesUniversity of East AngliaNorwichUK School of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Department of Physics Wollo UniversityDessie P.O.Box 1145Ethiopia

Rapid industrialization and urbanization along with a growing population are contributing significantly to air pollution in *** of long-term aerosol optical depth(AOD)data from models and reanalysis,can greatly promote understanding of spatiotemporal variations in air pollution in *** do this,AOD(550 nm)values from 2000 to 2014 were obtained from the Coupled Model Intercomparison Project(CIMP6),the second version of Modern-Era Retrospective analysis for Research,and Applications(MERRA-2),and the Moderate Resolution Imaging Spectroradiometer(MODIS;flying on the Terra satellite)combined Dark Target and Deep Blue(DTB)aerosol *** used the TerraMODIS DTB AOD(hereafter MODIS DTB AOD)as a standard to evaluate CMIP6 Ensemble AOD(hereafter CMIP6 AOD)and MERRA-2 reanalysis AOD(hereafter MERRA-2 AOD).Results show better correlations and smaller errors between MERRA-2 and MODIS DTB AOD,than between CMIP6 and MODIS DTB AOD,in most regions of China,at both annual and seasonal ***,significant under-and over-estimations in the MERRA-2 and CMIP6 AOD were also observed relative to MODIS DTB *** long-term(2000-2014)MODIS DTB AOD distributions show the highest AOD over the North China Plain(0.71)followed by Central China(0.69),Yangtse River Delta(0.67),Sichuan Basin(0.64),and Pearl River Delta(0.54)*** lowest AOD values were recorded over the Tibetan Plateau(0.13±0.01)followed by Qinghai(0.19±0.03)and the Gobi Desert(0.21±0.03).Large amounts of sand and dust particles emitted from natural sources(the Taklamakan and Gobi Deserts)may result in higher AOD in spring compared to summer,autumn,and *** were also calculated for 2000-2005,for2006-2010(when China introduced strict air pollution control policies during the 11 th Five Year Plan or FYP),and for 2011-2014(during the 12 th FYP).An increasing trend in MODIS DTB AOD was observed throughout the country during *** uncontrolled industrialization,urbanization,and rapid eco

关键词： Aerosol Optical Depth Air pollution MERRA-2 MODIS Air quality

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