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	An improved ddv method to retrieve aot for hj ccd image in typical mountainous areas
	Zhao Zhi-qiang1,2; Li Ai-nong1; Bian Jin-hu1,2; Huang Cheng-quan3
刊名	Spectroscopy and spectral analysis
	2015-06-01
卷号	35期号:6页码:1479-1487
关键词	Hj ccd imagery Rred band histogram threshold method Improved ddv algorithm Aot retrieve Mountainous
ISSN号	1000-0593
DOI	10.3964/j.issn.1000-0593(2015)06-1479-09
通讯作者	Li ai-nong(ainongli@imde.ac.cn)
英文摘要	Domestic hj ccd imaging applications in environment and disaster monitoring and prediction has great potential. but, hj ccd image lack of mid-nir band can not directly retrieve aerosol optical thickness (aot) by the traditional dark dense vegetation (ddv) method, and the mountain aot changes in space-time dramatically affected by the mountain environment, which reduces the accuracy of atmospheric correction. based on wide distribution of mountainous dark dense forest, the red band histogram threshold method was introduced to identify the mountainous ddv pixels. subsequently, the aot of ddv pixels were retrieved by lookup table constructed by 6s radiative transfer model with assumption of constant ratio between surface reflectance in red and blue bands, and then were interpolated to whole image. modis aerosol product and the retrieved aot by the proposed algorithm had very good consistency in spatial distribution, and hj ccd image was more suitable for the remote sensing monitoring of aerosol in mountain areas, which had higher spatial resolution. their fitting curve of scatterplot was y=0. 828 6x-0.01 and r-2 was 0.984 3 respectively. which indicate the improved ddv method can effectively retrieve aot, and its precision can satisfy the atmospheric correction and terrain radiation correction for hj ccd image in mountainous areas. the improvement of traditional ddv method can effectively solve the insufficient information problem of the hj ccd image which have only visible light and near infrared band, when solving radiative transfer equation. meanwhile, the improved method fully considered the influence of mountainous terrain environment. it lays a solid foundation for the hj ccd image atmospheric correction in the mountainous areas, and offers the possibility for its automated processing. in addition, the red band histogram threshold method was better than ndvi method to identify mountain ddv pixels. and, the lookup table and ratio between surface reflectance between red and blue bands were the important influence factor for aot retrieval. these will be the important research directions to further improve algorithm and improve the retrieve accuracy.
WOS关键词	ALGORITHM
WOS研究方向	Spectroscopy
WOS类目	Spectroscopy
语种	英语
出版者	OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
WOS记录号	WOS:000355883400005
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2376751
专题	中国科学院大学
通讯作者	Li Ai-nong
作者单位	1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Maryland, Dept Geog, College Pk, MD 20741 USA
推荐引用方式 GB/T 7714	Zhao Zhi-qiang,Li Ai-nong,Bian Jin-hu,et al. An improved ddv method to retrieve aot for hj ccd image in typical mountainous areas[J]. Spectroscopy and spectral analysis,2015,35(6):1479-1487.
APA	Zhao Zhi-qiang,Li Ai-nong,Bian Jin-hu,&Huang Cheng-quan.(2015).An improved ddv method to retrieve aot for hj ccd image in typical mountainous areas.Spectroscopy and spectral analysis,35(6),1479-1487.
MLA	Zhao Zhi-qiang,et al."An improved ddv method to retrieve aot for hj ccd image in typical mountainous areas".Spectroscopy and spectral analysis 35.6(2015):1479-1487.

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