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.

Highlights

  • Lake water quality is important for the development of aquaculture, sightseeing, and transportation, etc

  • The narrow and contiguous bands of hyperspectral data can reflect the important characteristics of every kind of water quality parameters

  • We can use hyperspectral data to find the optimal bands for multi-band indices and can improve the model accuracy

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Summary

Introduction

Lake water quality is important for the development of aquaculture, sightseeing, and transportation, etc. With the rapid development of economy, industrialization and human activities in China, pollution and eutrophication problems of lake water resources are becoming increasingly severe. Chlorophyll-a (Chl-a) concentration is considered as a key indicator of the eutrophic status of inland water bodies [2]. As Chl-a exists in all algae groups in marine and freshwater systems, Chl-a concentration is always deemed as a proxy of cyanobacteria algal biomass in waters [3]. It is practicable to map the amount of cyanobacteria and to predict cyanobacteria algae blooms through the index of Chl-a [4]. Chl-a concentration is an important index for detecting the degree of pollution in inland water bodies

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