@InProceedings{RossiSSMLPDOSLTTOL:2023:CaDiSp,
author = "Rossi, Fernando Saragosa and Silva J{\'u}nior, Carlos Antonio da
and Santos, Gustavo Andr{\'e} de Ara{\'u}jo and Maria, Luciano
de Souza and Louren{\c{c}}oni, Tha{\'{\i}}s and Pelissari,
Tatiane Deoti and Della Silva, Jo{\~a}o Lucas and Oliveira
J{\'u}nior, Jos{\'e} Wagner de and Silva, Adriana de Avila e and
Lima, Mendelson and Teodoro, Paulo Eduardo and Teodoro, Larissa
Pereira Ribeiro and Oliveira J{\'u}nior, Jos{\'e} Francisco de
and La Scala J{\'u}nior, Newton",
affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade do
Estado de Mato Grosso (UNEMAT)} and {Universidade Estadual
Paulista (UNESP)} and {Universidade Estadual Paulista (UNESP)} and
{Universidade do Estado de Mato Grosso (UNEMAT)} and {Universidade
Estadual Paulista (UNESP)} and {Universidade do Estado de Mato
Grosso (UNEMAT)} and {Universidade Federal de Mato Grosso (UFMT)}
and {Universidade do Estado de Mato Grosso (UNEMAT)} and
{Universidade do Estado de Mato Grosso (UNEMAT)} and {Universidade
Federal de Mato Grosso do Sul (UFMS)} and {Universidade Federal de
Mato Grosso do Sul (UFMS)} and {Universidade Federal de Alagoas
(UFAL)} and {Universidade Estadual Paulista (UNESP)}",
title = "Carbon dioxide spatial variability and dynamics in central Brazil
agricultural frontier via remote sensing data",
booktitle = "Anais...",
year = "2023",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
pages = "e155528",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Carbon dioxide, XCO2, land use and land cover.",
abstract = "The objective of this study was the carbon dioxide (CO2)
spatiotemporal dynamics and related factors assessment during
20152018 in the state of Mato Grosso, Brazil. The data were
obtained through a temporal series of remote data and
multispectral imagery. We observed that forest areas converted to
other land uses reached higher values, that characterize with
sources, and those the highest and lowest average concentrations
of CO2 are related to the dry and rainy months, respectively, for
dry air mole fraction (XCO2) in the atmosphere, which might be the
result of differences in the vertical resolution of the CO2 column
and scale. Therefore, both XCO2 and CO2 flux are related land use
and land cover changes (LULCC), looking at complex systems that
are affected by climatic variables and processes, such as
photosynthesis and soil respiration.",
conference-location = "Florian{\'o}polis",
conference-year = "02-05 abril 2023",
isbn = "978-65-89159-04-9",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/48UM5P5",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/48UM5P5",
targetfile = "155528.pdf",
type = "Sustentabilidade e Meio Ambiente",
urlaccessdate = "17 jun. 2024"
}