@InProceedings{AmoreSantJorgKamp:2017:MaDiPl,
author = "Amore, Diogo de Jesus and Santos, Jo{\~a}o Felipe Cardoso dos and
Jorge, Daniel Schaffer Ferreira and Kampel, Milton",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Mapeamento da dispers{\~a}o da pluma do Rio Amazonas no Oceano
Atl{\^a}ntico por t{\'e}cnicas de Sensoriamento Remoto",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3924--3931",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The distribution of optically active constituents (OACs) in the
Amazon River plume is investigated in the Western Tropical North
Atlantic Ocean (WTNA). In situ radiometric data were collected in
the study area for the generation of reference spectra in the
Spectral Angle Mapper (SAM) algorithm via a k-means classification
method. Bio-optical data (absorbance, m-1) were collected for
quantification of phytoplankton, detritus, and chromophoric
dissolved organic matter absorption coefficients. MODIS/Aqua
remote sensing reflectance data at eight band intervals were
acquired and used as test spectra in the SAM algorithm. Ternary
plots allowed the characterization of each k-means-generated class
according to their ubiquitous OACs. An histogram of percentual
coverage was generated to evaluate the area of influence that each
class had over the plume evolution. Out of the six classes
generated via k-means, and classified via SAM, four were
considered mostly relevant. The four classes represented well the
main variability of the plume from the coastline (or river mouth)
to the interior of WTNA. Absorbance data validated the ternary
plot distribution results which indicated that towards the shore
more sediment-laden waters are found, followed by more CDOM
concentration in a mid-distance range, and phytoplankton-dominated
waters at farther distances or under major oceanic currents
regime. The histogram plot is in accordance with low and high flow
periods of the Amazon River showing higher discharge during summer
(around August) and lower discharge during winter (around
February). The SAM algorithm proved useful for the river plume
constituent classification, and further studies are encouraged to
use meteorological data (such as wind vectors and precipitation
data) to better quantify the relationships between the Amazon
River discharge and the plume characteristics.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59867",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM28J",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM28J",
targetfile = "59867.pdf",
type = "Oceanografia e sistemas costeiros",
urlaccessdate = "11 maio 2024"
}