@InProceedings{SilveiraSouzZeil:2015:AvDeIm,
author = "Silveira, S{\'e}rgio Wagner Gripp da and Souza, Gracyeli Santos
and Zeilhofer, Peter",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Avalia{\c{c}}{\~a}o de Desempenho de Imagens MODIS no Estudo da
Din{\^a}mica de Inunda{\c{c}}{\~a}o do Pantanal
Mato-Grossense",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4286--4291",
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 = "This preliminary study examines the applicability of multi-year
MOD13Q1 16-day composites for inundation monitoring in the
Northern Pantanal floodplain. Therefore, five-year field
measurements of water levels with an average weekly temporal
resolution during the flooding period from 51 gauges were compiled
and binarized for Logistic Regression model development and
accuracy assessment. Average inundation period in the northern
Pantanal lasts between three and five months. Thus, to reduce
model bias, a total of 80 MODIS composites were selected, half
from the flood, half from the dry season. For the calibration
period, a Nagelkerke R2 coefficient of 0.595 and an overall
classification accuracy of 83.6% were obtained, this if only
pixels with a PR = 0 quality were used. For the validation period
which only included composites not used for calibration, overall
accuracy decayed to 74.4%. If pixels down to a QA of 1100 were
included, overall accuracy further decayed significantly to 71.3%.
Poorest classification results were obtained for semi-deciduous
forests developed on Cordilheira elevations (false positives) and
for temporary flooded, mono-dominant Vochysia divergens forests
(Cambarazal). Best results were obtained for open Savannah
formations. Great performance differences between the calibration
and validation periods indicate that RL models should be developed
on a yearly basis, presuming the availability of a permanent flood
monitoring network. Future studies should further consider the
antagonist effects between high accuracies versus gap-free
monitoring including low quality pixels and test for the
applicability of time series filling algorithms.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "840",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4CKB",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4CKB",
targetfile = "p0840.pdf",
type = "Monitoramento e modelagem ambiental",
urlaccessdate = "27 abr. 2024"
}