@InProceedings{BarrosPOLPSCSG:2017:VaDaTe,
author = "Barros, M{\'a}rcia Nazar{\'e} Rodrigues and Pinheiro, Alcione
Ferreira and Oliveira, Afonso Henrique Moraes and Lima, Ingrid
Vieira de and Pinho, Bianca Caterine Piedade and Santos, Lucyana
Barros and Coelho, Andr{\'e}a dos Santos and Sadeck, Luis Waldyr
Rodrigues and Gomes, Alessandra Rodrigues and Ig",
affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {} and {} and {} and {} and {} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Valida{\c{c}}{\~a}o dos dados TerraClass para o
munic{\'{\i}}pio de Paragominas",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5362--5368",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This work aims to evaluate the TerraClass mapping for the year
2014, in the municipality of Paragominas, State of Par{\'a}. The
validation was made by comparing the mapping with the observations
found in the field. Images of the Sat{\'e}tile Landsat-8, OLI
sensor of the year 2014, path/row 222/062, 222/063, 223/062 and
223/063 were used to aid in the field. Using this data it was
possible to analyze the main representative classes in the area,
including agriculture, urban area, forest, clean pasture, dirty
pasture, reforestation, regeneration with pasture and secondary
vegetation. The secondary vegetation presented 2,198.16 kmē, clean
pasture with 3,332.29 kmē, agriculture with 896.75 kmē and the
forest occupying 54.21% of the total area of Paragominas. The
overall concordance index was 86%, corroborating the reliability
of the mapping performed. The average error was 6% and the total
value of discordance was of 14%. Concerning the secondary
vegetation, pasture, agriculture, urban area and forest classes,
they presented concordance higher to 50%, while regeneration with
pasture and reforestation presented greater intensity of omission
with 40,57% and 76,31% respectively. Inclusion errors were less
than 40% for the secondary vegetation, pasture regeneration, clean
pasture and dirty pasture classes. The field work was essential to
validate and analyze the accuracy of the 2014 TerraClass Project
for the studied region, which becomes important for the
understanding of the dynamics of land use.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59323",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM4NU",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4NU",
targetfile = "59323.pdf",
type = "Mudan{\c{c}}a de uso e cobertura da terra",
urlaccessdate = "27 abr. 2024"
}