@InProceedings{PessôaAARSPCRVS:2019:InBuAr,
author = "Pess{\^o}a, Ana Carolina Moreira and Anderson, Liana Oighenstein
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and Rosan, Thais
Michele and Silva J{\'u}nior, Celso Henrique Leite and Penha,
Thales Vaz and Campanharo, Wesley Augusto and Reis, Jo{\~a}o
Bosco Coura dos and Vivancos, Tom{\`a}s Art{\'e}s and
San-Miguel, Jes{\'u}s",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Centro
Nacional de Monitoramento e Alertas de Desastres Naturais
(CEMADEN)} and {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)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Centro Nacional de Monitoramento
e Alertas de Desastres Naturais (CEMADEN)} and {Joint Research
Centre (JRC)} and {Joint Research Centre (JRC)}",
title = "Intercomparison of burned area products in Mato Grosso State",
booktitle = "Anais...",
year = "2019",
editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
pages = "771--774",
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 = "Fires, fire mapping, burnt scar, Amazon.",
abstract = "In 2010, total carbon (C) loss due to fires was responsible for
approximately 78% of the Mato Grosso state emissions. As a result
of the considerable contribution of fires to C emissions, it is
important to properly account them for the fulfillment of climate
change mitigation agreements. The first requirement for assessing
the fire-related emissions is to quantify the affected area. The
main objective of this work is to assess two burned area products
(TREES-INPE and JRC), as a preliminary test, on Amazon biome
within Mato Grosso state, for the year 2010. Total burned area
differs between the products by only 9%. However, there is
statistical evidence the products are not similar (p < 0.01). This
difference was observed only on Small polygons. Despite the
similarities in the total burned area, the JRC product
underestimates affected forests. Considering the magnitude of the
differences between the products, our results show that JRC burned
area product can potentially be used for monitoring the Amazon, as
it is automatically generated.",
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/3TUTNT2",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TUTNT2",
targetfile = "97298.pdf",
type = "Degrada{\c{c}}{\~a}o de florestas",
urlaccessdate = "27 abr. 2024"
}