详细信息
Atmospheric correction of Hyperion imagery over estuarine waters: a case study of the Pearl River Estuary in southern China ( SCI-EXPANDED收录 EI收录) 被引量:2
文献类型:期刊文献
英文题名:Atmospheric correction of Hyperion imagery over estuarine waters: a case study of the Pearl River Estuary in southern China
作者:Liu, Dazhao[1,2];Fu, Dongyang[1]
机构:[1]Guangdong Ocean Univ, Ocean Remote Sensing & Informat Technol Lab, Zhanjiang, Peoples R China;[2]State Ocean Adm, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Zhejiang, Peoples R China
年份:2017
卷号:38
期号:1
起止页码:199
外文期刊名:INTERNATIONAL JOURNAL OF REMOTE SENSING
收录:SCI-EXPANDED(收录号:WOS:000390126200011)、、EI(收录号:20165103135644)、Scopus(收录号:2-s2.0-85003874710)、WOS
基金:This work was funded by the National Science Foundation of China [grant number 41340049], [grant number 41276182]; the National Marine Important Charity Special Foundation of China [grant number 201305019]; the Open Fund of State Key Laboratory of Satellite Ocean Environment Dynamics of Second Institute of Oceanography, SOA [grant number SODE1203]; post-doctoral fund of Zhejiang [grant number BSH1301015]; the Natural Science Foundation of Guangdong Province, China [grant number 2014A030313603]; Foundation for Excellent Young Teachers in Higher Education of Guangdong Province, China [grant number 2016A030313754]; Innovation and Strong School Project of Guangdong Ocean University [grant number Q16147].
语种:英文
外文关键词:Remote sensing
外文摘要:Atmospheric correction of ocean colour remote-sensing data is based on the assumption that no water-leaving reflectance occurs in the near-infrared (NIR) area. However, this assumption is not valid for highly productive waters. To solve this problem, this paper describes a modified atmospheric correction scheme for Hyperion data. Based on the assumption that the ratio of water-leaving radiance and aerosol radiance in two NIR bands follows a fixed rule, we moved a rectangular box around the imagery to calculate those two parameters, which were then used to replace the assumption of zero water-leaving radiance in the NIR. We applied the new atmospheric correction algorithm to one Hyperion image. Following comparison of in situ measurements to results of the FLAASH atmospheric correction schema, preliminary findings show that the new algorithm is effective in reducing error in retrieved water-leaving radiance values, to some extent.
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