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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Estimating the CDOM absorption coefficient in tropical inland waters using OLI/Landsat-8 images

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Alcantara, Enner [1] ; Bernardo, Nariane [1] ; Watanabe, Fernanda [1] ; Rodrigues, Thanan [1] ; Rotta, Luiz [1] ; Carmo, Alisson [1] ; Shimabukuro, Milton [2] ; Goncalves, Stela [1] ; Imai, Nilton [1]
Total Authors: 9
[1] Sao Paulo State Univ Unesp, Dept Cartog, Presidente Prudente, SP - Brazil
[2] Sao Paulo State Univ Unesp, Dept Math & Comp Sci, Presidente Prudente, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: REMOTE SENSING LETTERS; v. 7, n. 7, p. 661-670, 2016.
Web of Science Citations: 7

Coloured dissolved organic matter (CDOM) is the most abundant dissolved organic matter (DOM) in many natural waters and can affect the water quality, such as the light penetration and the thermal properties of water system. So the objective of this letter was to estimate the CDOM absorption coefficient at 440 nm, a(CDOM)(440), in Barra Bonita Reservoir (Sao Paulo State, Brazil) using operational land imager (OLI)/Landsat-8 images. For this two field campaigns were conducted in May and October 2014. During the field campaigns remote sensing reflectance (R-rs) were measured using a TriOS hyperspectral radiometer. Water samples were collected and analysed to obtain the a(CDOM)(440). To predict the a(CDOM)(440) from R-rs at two key wavelengths (650 and 480 nm) were regressed against laboratory-derived a(CDOM)(440) values. The validation using in situ data of a(CDOM)(440) algorithm indicated a goodness of fit, R-2 = 0.70, with a root mean square error (RMSE) of 10.65%. The developed algorithm was applied to the OLI/Lansat-8 images. Distribution maps were created with OLI/Landsat-8 images based on the adjusted algorithm. (AU)

FAPESP's process: 12/19821-1 - Bio-optical model parametrization to study the chlorophyll-A concentration along a cascade of reservoirs
Grantee:Enner Herenio de Alcântara
Support type: Regular Research Grants