@InProceedings{MontanherNovoBarb:2015:QuEfRe,
author = "Montanher, Ot{\'a}vio Cristiano and Novo, Evlyn M{\'a}rcia
Le{\~a}o de Moraes and Barbosa, Claudio Clemente Faria",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Qual {\'e} o efeito da resolu{\c{c}}{\~a}o radiom{\'e}trica na
estimativa da concentra{\c{c}}{\~a}o de sedimentos suspensos via
dados orbitais? Experimento com modelos da bacia amaz{\^o}nica",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6602--6609",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Recently were developed empirical models for estimation of
suspended sediment concentration (SSC) in Amazonian rivers
optically dominated by suspended sediments, typically the white
waters, from Landsat 5/TM radiometric data. Taking into account
the well-know limitations of TM sensor concerning radiometric
resolution, some questions have emerged: how these models are
affected by radiometric discretization? How is the estimation
performance by supposing different radiometric resolutions? So,
this paper has the following objectives: i) to account the SSC
estimative errors of empirical models of Amazonian with water
rivers, originated only from radiometric discretization of TM
sensor; and ii) to simulate the estimative errors for other
radiometric resolution. The experiment includes: the TM sensor
(which is the data used for the modeling in the original models),
MSS - 7 bits - MODIS - 10 bits - OLI - 12 bits and ALI - 15 bits.
As assumed in the hypothesis, our results show that an increase in
the radiometric resolution induces an increase in the estimation
accuracy. The results show great estimation errors from MSS and TM
radiometric resolution, while MODIS, OLI and ALI sensors have an
accurate estimation. Although the using of 12 and 15 bits of
resolution makes high accuracy SSC estimation, when one take into
account the following constraints of remote sensing data:
acquisition, transmission, storage, distribution and processing,
the 10 bits resolution seems to be more appropriate for the
application presented in this study.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "1442",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4J42",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4J42",
targetfile = "p1442.pdf",
type = "Sistemas sensores: projeto, calibra{\c{c}}{\~a}o e
avalia{\c{c}}{\~a}o",
urlaccessdate = "28 abr. 2024"
}