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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.)

Regional-scale algorithm to estimate the particulate organic carbon (POC) in inland waters using Landsat-5/TM images

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Author(s):
Alcantara, Enner
Total Authors: 1
Document type: Journal article
Source: MODELING EARTH SYSTEMS AND ENVIRONMENT; v. 3, n. 2, p. 831-837, JUN 2017.
Web of Science Citations: 2
Abstract

A regional-scale algorithm was developed in order to test if the Landsat-5/TM can be used to estimate the particulate organic carbon (POC) in oligotrophic-tomesotrophic inland water. To develop the POC algorithm two fieldworks were conducted, the first in May and the second in September 2009. The algorithm was calibrated using the dataset from September and validated using the dataset from May. The results showed that the best calibration was obtained using a polynomial fitting function -(R-2 of 0.80, p < 0.0001). This model was validated with a normalized root mean square error (NRMSE) of 6.21%. The algorithm was then applied in two Landsat-5/TM images from April and July 2009. The spatial distribution of POC obtained from the satellite images reveals a strong dependence of POC concentrations with the weather conditions. These results allowed us to conclude that there is a great potential to study the temporal dynamics of POC in inland waters using Landsat-5/TM images. (AU)

FAPESP's process: 08/57719-9 - Program on Climate Change - INCT CLIMA
Grantee:Carlos Afonso Nobre
Support type: Research Program on Global Climate Change - Thematic Grants
FAPESP's process: 15/21586-9 - Re-parametrization of a Quasi-Analytical Algorithm (QAA) to estimating the inherent optical properties in reservoirs of Tietê River
Grantee:Enner Herenio de Alcântara
Support type: Regular Research Grants
FAPESP's process: 07/08103-2 - Study of circulation, water quality and land use in the Itumbiara Reservoir hydrographic basin
Grantee:José Luiz Stech
Support type: Regular Research Grants