@InProceedings{MartiniDuarAraiMora:2008:MeMeEx,
author = "Martini, P. R. and Duarte, V. and Arai, E. and Moraes, J. A.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Metodologia de medi{\c{c}}{\^a}o das extens{\~o}es dos rios
amazonas e nilo utilizando imagens modis e geocover",
year = "2008",
organization = "Simp{\'o}sio Latino Americano de Sensoriamento, 13.",
publisher = "SELPER",
abstract = "A method to measure the lengths of rivers supported by Remote
Sensing data and GIS processing is presented. The sources of
information are the images collected by TERRA Polar Platform
through the MODIS Sensor and the ortho-rectified GEOCOVER mosaics
generated from the ETM+ Sensor onboard the LANDSAT-7 Satellite.
The software to undertake the interpretation and the measurements
is SPRING. TERRA and GEOCOVER products are available at no costs
by NASA and SPRING can be downloaded from INPE at no costs as
well. The procedures of photo-interpretation are based on a
special routine available in SPRING known as Raster Edition. The
routine allows the analyst to edit the interpretation directly in
the display of the monitor. Within these parameters the method can
be applied to any river of the planet as long as images
free-of-clouds are available. Amazon and the Nile were selected
because they are the longest river yet mapped through traditional
methods. The results indicate that measurements obtained through
MODIS and GEOCOVER match quite well as they lay within a linear
error smaller than a MODIS pixel (250 meters) for a distance
greater then 6900 kilometers. Results also show that the Amazon
measures 6,992.15 kilometers and the Nile extends for 6,852.06
following their longest channels. The method indicates that the
Amazon River is 140.09 kilometers longer than the Nile.",
conference-location = "Havana",
conference-year = "22-26 set. 2008",
language = "en",
targetfile = "Artigo_AMZ_Nilo_Havana.doc",
urlaccessdate = "12 maio 2024"
}