Journal
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
Volume 118, Issue 2, Pages 860-874Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/jgrg.20071
Keywords
Lake Taihu; inland waters; phytoplankton; water optical types; remote sensing
Funding
- National Natural Science Foundation grant of China [41171269, 41101340]
- Provincial Natural Science Foundation of Jiangsu of China [BK2012050]
- Key Fundamental Research Projects of Natural Science in Universities [11KJA170003]
- NASA Energy and Water Cycle Study Program [NNX09AU87G]
- NASA [105291, NNX09AU87G] Funding Source: Federal RePORTER
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Multiple bio-optical measurements were conducted in inland waters of China, including Lake Taihu [spring and autumn], Lake Chaohu, Lake Dianchi, and Three Gorges Reservoirs. The variations in the absorption characteristics of chromophoric dissolved organic matter (CDOM), phytoplankton, and non-algal particles (NAP) and their relative contributions to total absorption among these waters were analyzed. The obtained results indicated that these areas are representative of the optically complex inland waters characterized by strong regional variations of their absorption properties. By means of the relative contributions of NAP and phytoplankton to the total water absorption at 550 and 675nm, these waters were classified into three optical water types, each one having specific biogeochemical and optical properties. Two of the types were distinct and corresponded to waters that are optically controlled by NAP (Type I) and dominated by phytoplankton (Type III). Type II was related to relatively optically mixed waters where the absorption properties are controlled by NAP and phytoplankton. Additionally, the differences in remote-sensing reflectance (R-rs) spectra among the three classified water types were clarified to establish optical criteria for identifying these water types. On this basis, the classification criteria for MERIS images were developed, which allowed one to cluster every R-rs spectrum into one of the three water types by comparing the values from band 6, band 8, and band 9 of MERIS images. The proposed criteria were subsequently conducted to map the water types of Lake Taihu using MERIS images.
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