@InProceedings{SolariRibJacÁviMir:2019:MéClIm,
author = "Solari, Raphael Alberto Fuhr and Ribeiro, R{\^o}mulo Jos{\'e} da
Costa and Jacobson, Tamiel Khan Baiocchi and {\'A}vila,
M{\'a}rio L{\'u}cio de and Miranda Filho, Reinaldo Jos{\'e}
de",
affiliation = "{Universidade de Bras{\'{\i}}lia (UnB)} and {Universidade de
Bras{\'{\i}}lia (UnB)} and {Universidade de Bras{\'{\i}}lia
(UnB)} and {Universidade de Bras{\'{\i}}lia (UnB)} and
{Universidade de Bras{\'{\i}}lia (UnB)}",
title = "M{\'e}todos de classifica{\c{c}}{\~a}o de imagens Sentinel para
subis{\'{\i}}o ao CAR",
booktitle = "Anais...",
year = "2019",
editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
pages = "86--89",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Cadastro Ambiental Rural, Spectral Angler Mapper, Maxver,
Sentinel-2, Mato Grosso, Rural Environmental Registry, Spectral
Angler Mapper, Maxver, Sentinel-2, Mato Grosso.",
abstract = "O Cadastro Ambiental Rural (CAR) {\'e} a mais nova ferramenta de
controle da situa{\c{c}}{\~a}o ambiental rural nacional,
principalmente para as {\'A}reas de Prote{\c{c}}{\~a}o
Permanentes (APPs) e Reservas Legais (RL). Para a
elabora{\c{c}}{\~a}o do CAR, utiliza-se imagens de
sat{\'e}lites para as an{\'a}lises de desmatamento, mas como
n{\~a}o h{\'a} um procedimento definido para isto, esse trabalho
visa testar dois m{\'e}todos de classifica{\c{c}}{\~a}o
supervisionada: Spectral Angler Mapper (SAM) e M{\'a}xima
Verossimilhan{\c{c}}a (Maxver), a partir de imagens do
sat{\'e}lite Sentinel-2 em assentamentos localizados no norte do
estado do Mato Grosso. Ambos os m{\'e}todos mostram {\'o}timos
resultados para a aplica{\c{c}}{\~a}o no CAR na regi{\~a}o
abrangido por este estudo, mas {\'e} recomend{\'a}vel
test{\'a}-los em outras regi{\~o}es do Brasil, para confirmar a
aplicabilidade dos m{\'e}todos no Cadastro. ABSTRACT: The Rural
Environmental Registry (CAR) is the newest tool to control the
national rural environmental situation, especially for the
Permanent Protection Areas (APPs) and Legal Reserves (RL). To do
this Registry it is used satellite imagens, but there is no
defined procedure for this, so this work aims to test two methods
of supervised classification: the Spectral Angler Mapper (SAM) and
the Maximum Likelihood (Maxver) method, which is used for the
elaboration of the CAR, using satellite images of the Sentinel- 2
satellite for the deforestation analysis, in settlements located
in the northern state of Mato Grosso. Both methods show excellent
results for the CAR application in the region covered by this
study, but it is advisable to test them in other regions of Brazil
to confirm the applicability of the methods in the Registry.",
conference-location = "Santos",
conference-year = "14-17 abril 2019",
isbn = "978-85-17-00097-3",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3U66TU8",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U66TU8",
targetfile = "97677.pdf",
type = "Mudan{\c{c}}a de uso e cobertura da Terra",
urlaccessdate = "15 jun. 2024"
}