Evaluation of Lake Eutrophication Based on the HJ-1 Satellite Multispectral Data

Abstract:

Chinese domestic satellite HJ-1 was launched in 2008, now it has become a significant resource for environment monitoring because its Multispectral data are characterized by 2-day temporal resolution, 30 m spatial resolution and 700 km breadth. A study case was made that HJ-1 multispectral data were used for retrieving aggregative trophic level index (TLI()) of water body of lakes in Wuhan, China. The aim of this study is to evaluate the probability of HJ-1 Multispectral data on estimating the eutrophic level of inland water. At first, the TLI() of sampling spots of some lakes in Wuhan were calculated using the monitoring water quality data. In the mean time, the NDVI of corresponding spots were calculated from the HJ-1 multispectral data which had been taken radiometric calibration and geometric correction beforehand. After that, a remote sensing inversion model for TLI() had been built through linear regression using the NDVI as independent variables. Finally, the TLI() of all water bodies of Wuhan lakes were inversed with this model and a map for its spatial distribution was drawn up. Results demonstrated that there were good linear correlation relationships between the TLI() and NDVI of HJ-1 Multispectral data, and the distribution of inversed TLI() of the lakes accorded with the reality quite well. According to the above, an inference can be made that the methods to evaluate lakes eutrofication based on the HJ-1 satellite multispectral data may provide a cheap and rapid way for real-time monitoring and evaluation of lakes eutrophication.

• Periodical: Applied Mechanics and Materials (Volumes 519-520)
• Pages: 1184-1187
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.519-520.1184
• Online since: February 2014
• Authors: Shun Yao Jiang, Qin Xue Xiong, Jian Qiang Zhu*
• Keywords: Aggregative Trophic Level Index (TLI), HJ-1 Satellite, Lake Eutrophication, NDVI, Remote Sensing

References

[1] M.C. Wang, X.Q. Liu, J.H. Zhang, Evaluate method and classification standard on lake eutrophication, Environ. Monit. China. 18 (2002) 47-50. ( In Chinese).

[2] T. Sabine, K. Hermann, Lake water quality monitoring using hyperspectral airborne data-a semiempirical multisensor and multitemporal approach for the Mecklenburg Lake, Remote Sens. Environ. 81 (2002) 228-233.

DOI: 10.1016/s0034-4257(01)00345-5

[3] K. Iwashita, H. Fujii, Satellite analysis for water flow of Lake Inbanuma, Adv. Space Res. 33 (2004) 284-289.

DOI: 10.1016/s0273-1177(03)00481-2

[4] Y.F. Xu, Y.M. Li, Q. Wang, Eutrophication evaluation on the three lakes and one reservoir using CCD images from the HJ-1 satellite, Acta. Sci. Circ. 31 (2011) 81-86. ( In Chinese).

[5] R.J. Vos, J.H.M. Hakvoort, R.W. J, Jordans, B.W. Ibelings, Multiplatform optical monitoring of eutrophication in temporally and spatially variable lakes, Sci. Total. Environ. 312 (2003) 221-226.

DOI: 10.1016/s0048-9697(03)00225-0

[6] C.Q. Wu, J.X. Gai, Q. Wang, J. Chen, Y. Wang, Establishment of a remote sensing method used for assessing lacustrine eutrophication, Environ. Monit. China. 27 (2011) 77-81. ( In Chinese).

[7] A.K. Mishra, N. Garg, Analysis of Trophic State Index of Nainital Lake from Landsat-7 ETM Data, J. Indian. Soc. Remote. Sens. 39 (2011) 463-468.

DOI: 10.1007/s12524-011-0105-3

[8] B.Y. He, S.W. Liang, C. Ding, X. Q. Yang, K. Hu, Estimating trophic level indexes of lakes in Wuhan by using CBERS-2 image, J. Resour. Environ. Yangtze Basin. 18 (2009) 1181-1185. ( In Chinese).

[9] A.C. Banks, P. Prunet, J. Chimot, P. Pina, J. Donnadille, E. Jeansou, M. Lux, A satellite ocean color observation operator system for eutrophication assessment in coastal waters, J. Marine. Syst. 94 (2012) S2-S8.

DOI: 10.1016/j.jmarsys.2011.11.001

[10] S. Mishra, D.R. Mishra, Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters, Remote. Sens. Environ. 117 (2012) 394-399.

DOI: 10.1016/j.rse.2011.10.016

[11] Q.Z. Wu, Q.X. Xiong, Z.Y. Liu, W.B. Jin, Feasibility analysis using MODIS data for retrieval of chlorophyll-a in Honghu lake, Resour. Environ. Yangtze Basin. 21 (2012). 1243-1247. ( In Chinese).