Comparison of different semi-empirical algorithms to estimate chlorophyll-a concentration in inland lake water-Reference-Cited by-同舟云学术

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Comparison of different semi-empirical algorithms to estimate chlorophyll-a concentration in inland lake water

Published:2009-11-12 Issue:1-4 Volume:170 Page:231-244
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Duan Hongtao,Ma Ronghua,Xu Jingping,Zhang Yuanzhi,Zhang Bai

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s10661-009-1228-7.pdf

Reference36 articles.

1. Arenz, R. F., Lewis, W. M., & Saunders, J. F. (1996). Determination of chlorophyll and dissolved organic carbon from reflectance data for Colorado reservoirs. International Journal of Remote Sensing, 17, 1547–1566. doi: 10.1080/01431169608948723 .

2. Dall’Olmo, G., & Gitelson, A. A. (2006). Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: Modeling results. Apply Optics, 45, 3577–3592. doi: 10.1364/AO.45.003577 .

3. Dekker, A. G., Malthus, T. J., & Seyhan, E. (1991). Quantitative modeling of inland water quality for high resolution MSS systems. IEEE Transaction on Geoscience and Remote Sensing, 29, 89–95. doi: 10.1109/36.103296 .

4. Doerffer, R., & Schiller, H. (2007). The MERIS Case 2 water algorithm. International Journal of Remote Sensing, 28, 517–535. doi: 10.1080/01431160600821127 .

5. Duan, H., Zhang, Y., Zhang, B., Song, K., Wang, Z., Liu, D., et al. (2008). Estimation of chlorophyll-a concentration and trophic states for inland lakes in Northeast China from Landsat TM data and field spectral measurements. International Journal of Remote Sensing, 29, 767–786. doi: 10.1080/01431160701355249 .

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