@InProceedings{LuizSanTraEbeFor:2015:DiAgÁr,
author = "Luiz, Alfredo Jos{\'e} Barreto and Sanches, Ieda Del Arco and
Trabaquini, Kleber and Eberhardt, Isaque Daniel Rocha and
Formaggio, Ant{\^o}nio Roberto",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {}
and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Din{\^a}mica agr{\'{\i}}cola em {\'a}rea de
sobreposi{\c{c}}{\~a}o de {\'o}rbitas adjacentes dos
sat{\'e}lites Landsat",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1308--1315",
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 = "In this study, the tracking of different types of agricultural
land use was assessed over time using the overlap regions of
adjacent Landsat Operational Land Imager (OLI) scenes. WRS-II
scenes 219 e 220/75 were acquired between July and October 2014.
In the same period, 55 georeferenced sites were visited monthly,
to acquire information about their use and to photograph them. The
study covered an area of 100 km long by 4 km wide along a highway
in the mesoregion of Campinas, state of S{\~a}o Paulo, Brazil.
The main agricultural crops in the state were present in this
area, such as sugarcane, maize, soybean, eucalyptus, pastures,
citrus; and over a dozen land uses were found. Several selected
areas are irrigated by center pivot systems. In this short period
of time, the importance of monitoring simultaneously three axes,
namely: the time, space and land use, proved essential, since
there is a high potential for classification confusion.
Interesting things were observed, such as the phenomenon of
green-up of rubber tree fields; and the similar appearance of
potatoes, beans and wheat plots in images, even though they do not
look like in the field. Preliminary analysis, both visual and
quantitative, confirm the assumption that it is not possible to
correctly classify agricultural uses in OLI images based only on a
single date and without substantial knowledge of the systems in
use, and the farming calendar of the study region.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "239",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM47UP",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM47UP",
targetfile = "p0239.pdf",
type = "Produ{\c{c}}{\~a}o e previs{\~a}o agr{\'{\i}}cola",
urlaccessdate = "28 abr. 2024"
}