[Comparison of methods for estimating soybean chlorophyll content based on visual/near infrared reflection spectra].

The estimation of crop chlorophyll content could provide technical support for precision agriculture. Canopy spectral reflectance was simulated for different chlorophyll levels using radiative transfer models. Then with multiperiod measured hyperspectral data and corresponding chlorophyll content, after extracting six wavelet energy coefficients from the responded bands, an evaluation of soybean chlorophyll content retrieval methods was conducted using multiple linear regression, BP neural network, RBF neural network and PLS method. The estimate effects of the three methods were compared afterwards. The result showed that the three methods based on wavelet analysis have an ideal effect on the chlorophyll content estimation. R2 of validated model of multiple linear regression, BP neural network, RBF neural network and PLS method were 0. 634, 0. 715, 0. 873 and 0.776, respectively. PLS based on Gaussian kernel function and RBF NN methods were better with higher precision, which could estimate chlorophyll content stably.

[Estimation of DOC concentrations using CDOM absorption coefficients: a case study in Taihu Lake].

Dissolved organic carbon (DOC) is the largest organic carbon stock in water ecosystems, which plays an important role in the carbon cycle in water. Chromophoric dissolved organic matter (CDOM), an important water color variation, is the colored fraction of DOC and its absorption controls the instruction of light under water. The available linkage between DOC concentration and CDOM absorptions enables the determination of DOC accumulations using remote sensing reflectance or radiance in lake waters. The present study explored the multi-liner relationship between CDOM absorptions [a(g) (250) and a(g) (365)] and DOC concentrations in Taihu Lake, based on the available data in 4 cruises (201005, 201101, 201103, 201105) (totally 183 sampling sites). Meanwhile, the results were validated with the data of the experiment carried out from August 29 to September 2, 2011 in Taihu Lake (n = 27). Furthermore, a universal pattern of modeling from remote sensing was built for lake waters. The results demonstrated that this method provided more satisfying estimation of DOC concentrations in Taihu Lake. Except the data obtained in January 2011, the fitted results of which were not conductive to the winter dataset (201101) in Taihu Lake, due to the diverse sources and sinks of DOC and CDOM, the multi-liner relationship was robust for the data collected in the other three cruises (R2 = 0.64, RMSE = 14.31%, n = 164), which was validated using the 201108 sampling dataset (R2 = 0.67, RMSE = 10.58%, n = 27). In addition, the form of the statistic model is universal, to some extent, for other water areas, however, there is difference in the modeling coefficients. Further research should be focused on the parameterization using local data from different lakes, which provides effective methodology for the estimation of DOC concentrations in lakes and other water regions.

[Aerosol optical thickness of the atmospheric aerosol over Taihu Lake and its features: results of in-site measurements].

Based on the data measured in situ by an automatic sun tracking photometer (CE-318), the aerosol optical thickness (AOT) and the corresponding Angström coefficient alpha of the atmospheric aerosol over Taihu Lake from November 2005 to October 2010 were collected. The results showed that high values of AOT over Taihu Lake were measured in summer (June to July) whereas low values were detected in autumn and winter (October to January). However, the low and high values of a appeared in spring (March to April) and in autumn (September to November), respectively. The variations of AOT and a over Taihu Lake may be related to weather patterns in this region. Based on the frequency distribution, AOT (500 nm) had only one peak value, with a maximum frequency of 0.4-0.6 and a yearly average value of 0.80, accounting for 26% of the total sample. Calculated from the mean AOT (500 nm), the solar radiation reduction was reduced by at least 50% by the atmospheric aerosol, resulting in more turbid atmosphere in this region and consequently heavy fog and haze. There were two peak values of the Angström coefficient alpha, with the maximum frequency ranging from 1.1-1.3 and 1.3-1.5 and a yearly average value of 1.17, accounting for 30% of the total sample. Significant variations were also observed in the daily average values of AOT (500 nm) and a, indicating the coexistence of different types of aerosols over Taihu Lake. The mean value of AOT (500 nm) declined when a increased. To sum up, values of AOT (500 nm) over Taihu Lake changed greatly with time, and the aerosol should be classified as an urban-industrial aerosol.