@InProceedings{CurtarelliOgaAlcLorSte:2014:SpTeDy,
author = "Curtarelli, Marcelo Pedroso and Ogashawara, Igor and
Alc{\^a}ntara, Enner Herenio de and Lorenzzetti, Jo{\~a}o
Ant{\^o}nio and Stech, Jos{\'e} Luiz",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and S{\~a}o Paulo State
University, Department of Cartography, Presidente Prudente,
Brazil. and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Spatial and temporal dynamic of the trophic state in a large
Amazonian hydroelectric reservoir",
booktitle = "Proceedings...",
year = "2014",
pages = "890--893",
organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
keywords = "trophic state index, hydroelectric reservoir, Amazon, remote
sensing, spectral angle mapper.",
abstract = "We assessed the spatial and temporal dynamic of the trophic state
in a large Amazonian hydroelectric reservoir during the Austral
wintertime using images acquired by the Operational Land Imager
(OLI) sensor on board the Landsat 8 satellite. We used the
Spectral Angle Mapper (SAM) algorithm and reference in situ
spectra to classify the OLI images according to a trophic state
index (TSI). The results showed that the use of OLI images and the
SAM algorithm were suitable for the mapping of the TSI in the
Amazonian reservoirs. In our particular case, the reservoir
presented a high spatial and temporal heterogeneity in the TSI
during the studied period. However, further studies are needed to
better characterize the dynamics of the trophic state and its
driven forces.",
conference-location = "Quebec",
conference-year = "July 13-18, 2014.",
doi = "10.1109/igarss.2014.6946568",
url = "http://dx.doi.org/10.1109/igarss.2014.6946568",
isbn = "9781479957750",
label = "lattes: 2691497637313274 5 CurtarelliOgaAlcLorSte:2014:SpTeDy",
language = "pt",
targetfile = "06946568.pdf",
urlaccessdate = "20 abr. 2024"
}