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基于反射光谱的太湖北部叶绿素a浓度定量估算

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发表于 2006-12-25 22:06:03 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式



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基于反射光谱的太湖北部叶绿素a浓度定量估算 全文下载 吕恒1,李新国1,2,周连义1,2,江南1 (1:中国科学院南京地理与湖泊研究所, 南京 210008) (2:中国科学院研究生院,北京 100039) 摘要:利用地物光谱仪研究了太湖水体的反射光谱特征与叶绿素a浓度之间的定量关系,结果表明太湖水体的叶绿素a浓度可以用720nm附近的反射率估算,同时也可以用806nm和571nm两个波段的反射率比值来估算,前者建立的估算模型具有较好的通用性,而后者只能较好的估算<10μg/L的叶绿素a浓度;通过对光谱微分的分析,发现叶绿素a浓度与690nm附近的一阶微分和702nm附近的二阶微分相关性最好,但基于反射光谱一阶微分的叶绿素a浓度估算模型,并没有显著的提高太湖叶绿素a浓度的估测精度,二阶微分后的估测精度好于一阶微分,但其估测精度仍没有利用720nm反射光谱的反演模型高. 太湖水体的叶绿素a浓度可以利用720nm附近的反射光谱有效地估算. 关键词: 太湖;叶绿素a浓度;定量估算;反射光谱;光谱微分 参考文献 [1]Han L, Donald C, Rundquitst D C. Comparison of NIR/ RED ratio and first derivative of reflectance in estimating chlorophyll concentration: a case study in a turbid reservoir.Remote Sensing of Environment,1997,62:253-261. [2]Dekker A G, Peters S W. The use of the Thematic Mapper for the analysis of eutrophic lakes: a case study in the Netherlands. Int J Remote Sensing, 1993,14(5):799-821. [3]Gitelson A A, Garbuzov G. Quantitative remote sensing methods for real?time monitoring of inland waters quality. Int J Remote Sensing, 1993,14 (7) :1269-1295. [4]Gitelson A A. The peak near 700nm on radiance spectra of algae and water relationships of its magnitude and position with chlorophyll concentration. Int J Remote Sensing, 1992,13: 3367-3373. [5]Gitelson A A, Keydan G P. Remote sensing of inland surface water quality measurements in the visible spectrum. Acta Hydrophysica. 1990, 14 : 1269 -1295. [6]Mittenzwey K?H, Gitelson A A, Lopatchenko A A,et al. In?situ monitoring of water quality on the basis of spectral reflectance. Internationale Revue der gesamten Hydrobiologie, 1988, 73:61-72. [7]Melack J M, Pilorz S H. Reflectance spectral from eutrophic mono Lake,California, measured with the Airborne visible and infrared imaging spectrometer(AVIRIS).SPIE, 1990,1298:202-212. [8]Vertucci F A, Likens G E. Spectral reflectance and water quality of Adirondack mountain region lakes. Limnol. Oceanogr, 1989,34(8):1656-1672.[9]Arenz R F, Jr, Lewis W M, et al. Determination of chlorophyll and dissolved organic carbon from reflectance data for Colorado reservoirs. Int J Remote Sensing, 1996,17:1547-1566. [10] Thiemann S & Kaufmann H. Lake water quality monitoring using hyperspectral airborne data?a semiempirical multisensor and multitemporal approach for the Mecklenburg Lake District, Germany. Remote Sensing of Environment, 2002, 81: 228-237. [11] Rundquist D C Han L, Schalles J, et al. Remote measurement of algal chlorophyll in surface waters: the case for the first derivative of reflectance near 690nm. Photogrammetric Engineering & Remote Sensing,1996,62:195-200. [12] 李素菊,吴倩,王学军等. 巢湖浮游植物叶绿素含量与反射光谱特征的关系. 湖泊科学,2002,14(3):230-233. [13] 秦伯强,胡维平,陈伟民等.太湖水环境演化过程与机理.北京:科学出版社, 2004. [14] 刘兆德,虞孝感,王志宪. 太湖流域水环境污染现状与治理的新建议. 自然资源学报, 2003, 18(4): 467-474. [15] 浦瑞良,宫鹏.高光谱遥感及其应用.北京:高等教育出版社,2000. [16] Goodin, D G, Han L, et al. Analysis of suspended solids in water using remotely sensed high resolution derivative spectra. Photogrammetric Engineering & Remote Sensing, 1993,59(4): 505-510.
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