光谱学与光谱分析 |
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Spectral Characteristics Analysis and Remote Sensing Inversion of Water Quality Parameters in Han Shiqiao Wetland |
DU Wei-jing1, 2, LI Shu-min1, LI Hong1*, SUN Dan-feng2, ZHOU Lian-di1 |
1. Institute of Agricultural Integrated Development,Beijing Academy of Agricultural and Forestry Sciences,Beijing 100097,China 2. Resources and Environment College,China Agricultural University,Beijing 100094,China |
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Abstract The research object of the present paper is the water quality of Han Shiqiao wetland water. Water spectrum and quality parameters were measured on the site and in the lab. The authors simulated the relationships between water quality parameters and the best bands or combination, and built the multiple linear regression equation to obtain characteristic spectrum of the key water quality parameters. Besides, several key issues involved in applying ASTER satellite imagery to water quality include atmospheric correction, discussing methods for ASTER data bands analysis, and choosing the best bands and band combination. Results indicated that although the simulation model is not universal, the analysis of spectral characteristics based on ground spectrometer could provide foundations for the choice of remote sensing characteristics bands. The band ratio of water quality parameters simulated from ASTER spectral characteristics moves to relatively long-wave band. Finally, based on the analysis of ASTER remote sensing characteristics bands, the authors built water quality parameters regression model. The models for water quality parameters were recommended, and the accuracies of these models were analyzed. Making use of regression model, we executed spatial distribution map of water quality parameters to achieve wetland water monitoring with remote sensing in terms of variation in space and with time.
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Received: 2008-12-12
Accepted: 2009-03-16
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Corresponding Authors:
LI Hong
E-mail: edelweiss-bloom@163.com
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[1] GUO Yue-dong,HE Yan,DENG Wei,et al(郭跃东,何 岩,邓 伟,等). Wetland Science(湿地科学), 2004, 2(1):47. [2] HE Chi-quan,ZHAO Kui-yi(何池全,赵魁义). Advances in Earth Science(地球科学进展), 2000, 15(2):165. [3] Cairns S H, Dickson K L, Atkinson S F. Photogrammetric Engineering and Remote Sensing, 1997, 63(3): 263. [4] Thiemann S, Kaufmann H. Remote Sensing of Environment, 2000, 73(2): 227. [5] Rundquist D C, Han L, Schalles J F, et al. Photogrammetric Engineering and Remote Sensing, 1996, 62(2): 195. [6] ZHU Li(朱 利). Journal of Chinese Urban Forestry(中国城市林业), 2007, 5(1): 37. [7] XIE Huan, TONG Xiao-hua(谢 欢,童小华). Remote Sensing Information(遥感信息), 2006, (2): 67. [8] WEI Fu-sheng, et al(魏复盛, 等). Guide to Analytical Method on Water and Waste Water(水和废水监测分析方法指南). Beijing: China Environmental Science Press(北京:中国环境科学出版社),2002. [9] SHU Xiao-zhou, YIN Qiu, KUANG Ding-bo(疏小舟,尹 球,匡定波). Journal of Remote Sensing(遥感学报), 2000, 4(1): 41. [10] Peter F, Tommy L, Catherine O. The Science of the Total Environment, 2001, 268(1-3): 155. [11] Lü Heng, JIANG Nan, LUO Lian-cong(吕 恒,江 南,罗潋葱). Scientia Geographica Sinica(地理科学), 2006, 26(4): 473. [12] DUAN Hong-tao,WEN Yu,ZHANG Bai, et al(段洪涛,闻 钰,张 柏, 等). Journal of Arid Land Researches and Environment(干旱区资源与环境), 2006, 20(6): 104. [13] Kopelevich O V, Mezhericher E M. Oceanology, 1979, 19: 621. [14] ZHENG Wei,ZENG Zhi-yuan(郑 伟,曾志远). Remote Sensing for Land & Resources(国土资源遥感), 2005, 3(1): 8. [15] QIAO Ping-lin,ZHANG Ji-xian,LIN Zong-jian(乔平林,张继贤,林宗坚). Remote Sensing for Land & Resources(国土资源遥感), 2003, (4): 39. [16] Dekker A G, Hoogenboom H J. Proceedings of the Sixth International Colloquium on Physical Measurement and Signatures in Remote Sensing, 1994. 245. [17] LI Jing(李 京). Acta Scientiae Circumstantiae(环境科学学报), 1986, 6(2): 166. [18] Gordon H R. Applied Optics, 1990, 29(22): 3228. [19] Goldman C R, Richards R C, et al. Remote Sensing of Environment, 1974, (3): 49.
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