Water 2013, 5(2), 525-539; doi:10.3390/w5020525
Article

Evaluation of Hyperspectral Multi-Band Indices to Estimate Chlorophyll-A Concentration Using Field Spectral Measurements and Satellite Data in Dianshan Lake, China

1 Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China 2 The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 3 Department of Geography & Environmental Studies, California State University, San Bernardino, CA 92407, USA 4 Coastal Ecosystems Research Station of Yangtze River Estuary, Institute of Biodiversity Science, Fudan University, Shanghai 200433, China 5 Department of Geography, University of California, Santa Barbara, CA 93106, USA 6 Shanghai Environmental Monitoring Center, Shanghai 200030, China
* Author to whom correspondence should be addressed.
Received: 19 February 2013; in revised form: 25 March 2013 / Accepted: 2 April 2013 / Published: 29 April 2013
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Abstract: Chlorophyll-a (Chl-a) concentration is considered as a key indicator of the eutrophic status of inland water bodies. Various algorithms have been developed for estimating Chl-a in order to improve the accuracy of predictive models. The objective of this study is to assess the potential of hyperspectral multi-band indices to estimate the Chl-a concentration in Dianshan Lake, which is the largest lake in Shanghai, an international metropolis of China. Based on field spectral measurements and in-situ Chl-a concentration collected on 7–8 September 2010, hyperspectral multi-band indices were calibrated to estimate the Chl-a concentration with optimal wavelengths selected by model tuning. A three-band index accounts for 87.36% (R2 = 0.8736) of the Chl-a variation. A four-band index, which adds a wavelength in the near infrared (NIR) region, results in a higher R2 (0.8997) by removing the absorption and backscattering effects of suspended solids. To test the applicability of the proposed indices for routinely monitoring of Chl-a in inland lakes, simulated Hyperion and real HJ-1A satellite data were selected to estimate the Chl-a concentration. The results show that the explanatory powers of these satellite hyperspectral multi-band indices are relatively high with R2 = 0.8559, 0.8945, 0.7969, and 0.8241 for simulated Hyperion and real HJ-1A satellite data, respectively. All of the results provide strong evidence that hyperspectral multi-band indices are promising and applicable to estimate Chl-a in eutrophic inland lakes.
Keywords: hyperspectral; multi-band index; field spectral; Chl-a; Dianshan Lake

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MDPI and ACS Style

Zhou, L.; Xu, B.; Ma, W.; Zhao, B.; Li, L.; Huai, H. Evaluation of Hyperspectral Multi-Band Indices to Estimate Chlorophyll-A Concentration Using Field Spectral Measurements and Satellite Data in Dianshan Lake, China. Water 2013, 5, 525-539.

AMA Style

Zhou L, Xu B, Ma W, Zhao B, Li L, Huai H. Evaluation of Hyperspectral Multi-Band Indices to Estimate Chlorophyll-A Concentration Using Field Spectral Measurements and Satellite Data in Dianshan Lake, China. Water. 2013; 5(2):525-539.

Chicago/Turabian Style

Zhou, Liguo; Xu, Bo; Ma, Weichun; Zhao, Bin; Li, Linna; Huai, Hongyan. 2013. "Evaluation of Hyperspectral Multi-Band Indices to Estimate Chlorophyll-A Concentration Using Field Spectral Measurements and Satellite Data in Dianshan Lake, China." Water 5, no. 2: 525-539.

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