Effects of Sensor Noise in Spectral Measurements on Chlorophyll-a Retrieval in Nanhu Lake of Changchun, China

Liu, D.; Zhang, Y.; Zhang, B.; Song, Kaishan; Wang, Z.; Duan, Hongtao; Li, F.

doi:10.1163/156939306776117018

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…Noise, both coherent and non-coherent, can obscure characteristic spectral absorption features of minerals and reduce efficacy of spectral matching and convolution process. Therefore, pre-processing of field-spectra is necessary before they are used for mineral identification and abundance estimation (Schaepman and Dangel 2000;Liu et al 2006). In this study, we observed that atmospheric constituents such as H 2 O, CO 2 and N 2 O reduce the upwelling signal strength and introduce noise from 2300 to 6000 nm wavelength regions.…”

Section: Pre-processing Of Field Spectramentioning

confidence: 94%

A field technique for rapid lithological discrimination and ore mineral identification: Results from Mamandur Polymetal Deposit, India

et al. 2013

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This work illustrates the efficiency of field spectroscopy for rapid identification of minerals in ore body, alteration zone and host rocks. The adopted procedure involves collection of field spectra, their processing for noise, spectral matching and spectral un-mixing with selected library end-members. Average weighted spectral similarity and effective peak matching techniques were used to draw end-members from library. Constrained linear mixture modelling technique was used to convolve end-member spectra. Linear mixture model was optimized based on root mean square error between field-and modelled-spectra. Estimated minerals and their abundances were subsequently compared with conventional procedures such as petrography, X-ray diffraction and X-ray fluorescence for accuracy assessment. The mineralized zone is found to contain azurite, galena, chalcopyrite, bornite, molybdenite, marcacite, gahnite, hematite, goethite, anglesite and malachite. The alteration zone contains chlorite, kaolinite, actinolite and mica. These mineral assemblages correlate well with the petrographic measurements (R 2 = 0.89). Subsequently, the bulk chemistry of field samples was compared with spectroscopically derived cumulative weighted mineral chemistry and found to correlate well (R 2 = 0.91-0.98) at excellent statistical significance levels (90-99%). From this study, it is evident that field spectroscopy can be effectively used for rapid mineral identification and abundance estimation.

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Section: Pre-processing Of Field Spectramentioning

confidence: 94%

A field technique for rapid lithological discrimination and ore mineral identification: Results from Mamandur Polymetal Deposit, India

et al. 2013

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“…In recent years, with the satellite's wide application in remote sensing of chlorophyll and total suspended matter concentration which contained in inland water bodies, a growing number of researchers dedicated to the high spatial resolution algorithm of chlorophyll and total suspended matter concentration in order to correct the accuracy of remote sensing [1][2][3][4] . The in situ hyperspectral data have been used to monitor the abundant nutrition in lake [5][6][7][8][9][10] and red tide estimation [11] . Many researchers have performed to estimate the parameters in water body.…”

Section: Introductionmentioning

confidence: 99%

Estimation of chlorophyll a and total suspended matter concentration using Quickbird image and in situ spectral reflectance in Hangzhou Bay, China

Cheng

2010

Remote Sensing for Agriculture, Ecosystems, and Hydrology XII

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The spectra were measured with hand-spectral instrument in Hangzhou Bay, and the water samples were collected in situ and analyzed in the lab. The correlations between chlorophyll-a and total suspended matter and the measured spectral reflectivity were analyzed, and chlorophyll and total suspended matter concentrations were estimated by using the combination of the field measured spectral reflectance and Quickbird image, respectively. Simulating Quickbird bands which would be validated for the estimation of chlorophyll and total suspended matter content were described.The estimation regression models were constructed and discussed in this paper. Two of the most precise estimation models were used to estimate the chlorophyll and total suspended matter concentration. The results showed that Quickbird images are the appropriate data resources in the high spatial remote sensing to estimate the chlorophyll-a and total suspended matter, and it is more precise to estimate chlorophyll content with the two bands of Quickbird image.The combination of band 3 and band 1 are better to estimate chlorophyll content, and the correlation between band 4 and band1 and total suspended matter is also very close, and the most precise band to estimate total suspended matter is band 4 and band 1.

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“…Although remotely sensed data can provide the synoptic information of surface water quality for inland lakes, its quantitative use is still a difficult task in the study [5,6]. However, before the establishment of a relationship between the optical characteristics and the water quality information of Nanhu Lake, it is necessary to simultaneously measure spectral information and water sampling in the field for the seasonal and yearly cycles in the lake [7,8].…”

Section: Introductionmentioning

confidence: 99%

Inverse Data Modelling for the Optical Properties of the Eutrophic Lake from Reflectance Spectra in Nanhu Lake of Changchun, China

Song

Zhang

et al. 2007

Journal of Electromagnetic Waves and Applications

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In this study, we present an inverse data modelling for the optical properties of the eutrophic water from reflectance spectra in Nanhu Lake of Changchun, China. The lake water in Nanhu Lake is optically dominated by scattering from suspended matter, whereas the lake water is dominated by absorption from phytoplankton (CHLa), total suspended matter (TSM), and coloured dissolved organic matter (CDOM or referred to as yellow substance). The main reason is that the Nanhu Lake is highly affected by the input from rivers and drainage systems from the area of Changchun, which discharge a high concentration of CDOM, nutrients, and mineral suspended solids. The reflectance spectra at 400-900 nm were measured in Nanhu Lake using the ASD-field spectroradiometer. An inverse data modelling was applied to analyse the optical properties of the eutrophic lake water. The result shows that the optical properties of the eutrophical water can be effectively modelled from reflectance spectra for the eutrophic lake. However, further studies are still needed to refine the method for determining the optical properties of eutrophic waters under study.

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Effects of Sensor Noise in Spectral Measurements on Chlorophyll-a Retrieval in Nanhu Lake of Changchun, China

Cited by 9 publications

References 11 publications

A field technique for rapid lithological discrimination and ore mineral identification: Results from Mamandur Polymetal Deposit, India

A field technique for rapid lithological discrimination and ore mineral identification: Results from Mamandur Polymetal Deposit, India

Estimation of chlorophyll a and total suspended matter concentration using Quickbird image and in situ spectral reflectance in Hangzhou Bay, China

Inverse Data Modelling for the Optical Properties of the Eutrophic Lake from Reflectance Spectra in Nanhu Lake of Changchun, China

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