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

Autor(es)

Alcantara, Enner

• Tipo de documento: Artigo Científico
• Fonte: MODELING EARTH SYSTEMS AND ENVIRONMENT; v. 3, n. 2, p. 831-837, JUN 2017.
• Citações Web of Science: 2

Resumo

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)

• Processo FAPESP: 07/08103-2 - Estudo da circulação, qualidade da água e uso/ocupação do solo na bacia hidrográfica do Reservatório de Itumbiara
• Beneficiário: José Luiz Stech
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 15/21586-9 - Re-parametrização do algoritmo quase-analítico (QAA) para estimativa das propriedades ópticas inerentes nos reservatórios do Rio Tietê
• Beneficiário: Enner Herenio de Alcântara
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 08/57719-9 - Programa de Mudanças Climáticas - INCT CLIMA
• Beneficiário: Carlos Afonso Nobre
• Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - Temático