DocumentCode :
633607
Title :
Quantitative Retrieval of Chlorophyll-a Concentration of Taihu Lake Based on Satellite HJ-1Multispectral Data
Author :
Qi Wang ; Wei Meng ; Yunfeng Ma ; Xin Ke ; Xiaomin Hu
Author_Institution :
Coll. of Resources & Civil Eng., Northeastern Univ., Shenyang, China
fYear :
2013
fDate :
29-30 June 2013
Firstpage :
958
Lastpage :
961
Abstract :
With combination of satellite HJ-1 multispectral CCD data and synchronous ground monitoring data on water quality, combining the visible light red band (select the one that has a high correlation with measured chlorophyll-a concentration) and near-infrared band, this paper takes Band4/Band3 as arguments, establishing linear model and multinomial model respectively, furthermore makes a comparative analysis of them. The results show that the band combination method for inversion is feasible, based on the comparison of the two models, it is concluded that polynomial model has better effect. And by using ArcGIS software and polynomial modelmakes chlorophyll-a concentration profile.
Keywords :
geographic information systems; lakes; polynomials; water quality; ArcGIS software; Taihu Lake; band combination method; band4-band3; chlorophyll-a concentration measurement; chlorophyll-a concentration profile; comparative analysis; linear model; multinomial model; near-infrared band; polynomial model; quantitative chlorophyll-a concentration retrieval; satellite HJ-1 multispectral CC data; synchronous ground monitoring data; visible light red band; water quality; Automation; Manufacturing; Chlorophyll-a; HJ-1; Quantitative inversion; Taihu Lake;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ICDMA.2013.224
Filename :
6598148
Link To Document :
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