Re-parameterization of a quasi-analytical algorithm for colored dissolved organic matter dominant inland waters |
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| Affiliation: | 1. National Earth and Marine Observation Group, Geoscience Australia, Canberra 2609, Australia;2. CSIRO Oceans and Atmosphere Flagship, Acton, Canberra, 2601, Australia;3. Center for Geospatial Analytics, Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA;4. CSIRO Land and Water Flagship, Acton, Canberra, 2601, Australia;5. CSIRO Oceans and Atmosphere Flagship, Dutton Park, Brisbane, 4102, Australia;1. Department of Earth Science, Indiana University–Purdue University Indianapolis, 723 West Michigan Street, SL118, Indianapolis, IN 46202, USA;2. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;1. Key Laboratory of Virtual Geographic Environment, Ministry of Education, College of Geographic Science, Nanjing Normal University, Nanjing 210023, China;2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;3. Chongqing Institute of Surveying and Planning for Land Resources and Housing, Chongqing 400020, China;4. National University of Singapore, Department of Geography, Singapore 117570, Singapore;5. Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China |
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| Abstract: | Quasi-Analytical Algorithms (QAAs) are based on radiative transfer equations and have been used to derive inherent optical properties (IOPs) from the above surface remote sensing reflectance (Rrs) in aquatic systems in which phytoplankton is the dominant optically active constituents (OACs). However, Colored Dissolved Organic Matter (CDOM) and Non Algal Particles (NAP) can also be dominant OACs in water bodies and till now a QAA has not been parametrized for these aquatic systems. In this study, we compared the performance of three widely used QAAs in two CDOM dominated aquatic systems which were unsuccessful in retrieving the spectral shape of IOPS and produced minimum errors of 350% for the total absorption coefficient (a), 39% for colored dissolved matter absorption coefficient (aCDM) and 7566.33% for phytoplankton absorption coefficient (aphy). We re-parameterized a QAA for CDOM dominated (hereafter QAACDOM) waters which was able to not only achieve the spectral shape of the OACs absorption coefficients but also brought the error magnitude to a reasonable level. The average errors found for the 400–750 nm range were 30.71 and 14.51 for a, 14.89 and 8.95 for aCDM and 25.90 and 29.76 for aphy in Funil and Itumbiara Reservoirs, Brazil respectively. Although QAACDOM showed significant promise for retrieving IOPs in CDOM dominated waters, results indicated further tuning is needed in the estimation of a(λ) and aphy(λ). Successful retrieval of the absorption coefficients by QAACDOM would be very useful in monitoring the spatio-temporal variability of IOPS in CDOM dominated waters. |
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| Keywords: | Bio-optical model Colored dissolved organic matter Inland waters Quasi-analytical algorithm Inherent optical properties Absorption coefficient of phytoplankton Remote sensing reflectance |
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