干旱区生态环境知识资源中心(Arid): An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery

Arid

DOI	10.3390/rs12040733
	An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery
	Zhong, Bo 1,2; Wu, Shanlong 1; Yang, Aixia 1; Ao, Kai 2; Wu, Jinhua 3; Wu, Junjun 1; Gong, Xueshuang 4; Wang, Haibo 4; Liu, Qinhuo 1
通讯作者	Yang, Aixia
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:4
英文摘要	Although many attempts have been made, it has remained a challenge to retrieve the aerosol optical depth (AOD) at 550 nm from moderate to high spatial-resolution (MHSR) optical remotely sensed imagery in arid areas with bright surfaces, such as deserts and bare ground. Atmospheric correction for remote-sensing images in these areas has not been good. In this paper, we proposed a new algorithm that can effectively estimate the spatial distribution of atmospheric aerosols and retrieve surface reflectance from moderate to high spatial-resolution imagery in arid areas with bright surfaces. Land surface in arid areas is usually bright and stable and the variation of atmosphere in these areas is also very small; consequently, the land-surface characteristics, specifically the bidirectional reflectance distribution factor (BRDF), can be retrieved easily and accurately using time series of satellite images with relatively lower spatial resolution like the Moderate-resolution Imaging Spectroradiometer (MODIS) with 500 m resolution and the retrieved BRDF is then used to retrieve the AOD from MHSR images. This algorithm has three advantages: (i) it is well suited to arid areas with bright surfaces; (ii) it is very efficient because of employed lower resolution BRDF; and (iii) it is completely automatic. The derived AODs from the Multispectral Instrument (MSI) on board Sentinel-2, Landsat 5 Thematic Mapper (TM), Landsat 8 Operational Land Imager (OLI), Gao Fen 1 Wide Field Viewer (GF-1/WFV), Gao Fen 6 Wide Field Viewer (GF-6/WFV), and Huan Jing 1 CCD (HJ-1/CCD) data are validated using ground measurements from 4 stations of the AErosol Robotic NETwork (AERONET) around the world.
英文关键词	AOD moderate to high spatial resolution atmospheric correction AERONET automatic validation
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000519564600144
WOS关键词	SATELLITE DATA ; LANDSAT TM ; PART I ; AEROSOL ; RETRIEVAL ; ALGORITHM ; CALIBRATION ; VALIDATION ; PRODUCTS ; DEPTH
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315431
作者单位	1.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; 2.Univ Posts & Telecommun, Coll Comp Sci & Technol, Chongqing 400065, Peoples R China; 3.China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China; 4.China Ctr Resources Satellite Data & Applicat, Beijing 100094, Peoples R China
推荐引用方式 GB/T 7714	Zhong, Bo,Wu, Shanlong,Yang, Aixia,et al. An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery[J],2020,12(4).
APA	Zhong, Bo.,Wu, Shanlong.,Yang, Aixia.,Ao, Kai.,Wu, Jinhua.,...&Liu, Qinhuo.(2020).An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery.REMOTE SENSING,12(4).
MLA	Zhong, Bo,et al."An Atmospheric Correction Method over Bright and Stable Surfaces for Moderate to High Spatial-Resolution Optical Remotely Sensed Imagery".REMOTE SENSING 12.4(2020).