@Article{BendiniSaKöFoLuFo:2016:UsLa8,
author = "Bendini, Hugo do Nascimento and Sanches, Ieda Del'Arco and
K{\"o}rting, Thales Sehn and Fonseca, Leila Maria Garcia and
Luiz, Alfredo J. B. and Formaggio, Antonio Roberto",
affiliation = "{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 {Empresa Brasileira de Pesquisa
Agropecu{\'a}ria (EMBRAPA)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Using Landsat 8 image time series for crop mapping in a region of
Cerrado, Brazil",
journal = "International Archives of the Photogrammetry, Remote Sensing and
Spatial Information Sciences",
year = "2016",
volume = "41",
pages = "845--850",
note = "23rd International Archives of the Photogrammetry, Remote Sensing
and Spatial Information Sciences Congress, ISPRS 2016; Prague;
Czech Republic; 12 - 19 July 2016.",
keywords = "Crop mapping, Landsat time series, Random Forest algorithm.",
abstract = "The objective of this research is to classify agricultural land
use in a region of the Cerrado (Brazilian Savanna) biome using a
time series of Enhanced Vegetation Index (EVI) from Landsat 8 OLI.
Phenological metrics extracted from EVI time series, a Random
Forest algorithm and data mining techniques are used in the
process of classification. The area of study is a region in the
Cerrado in a region of the municipality of Casa Branca, S{\~a}o
Paulo state, Brazil. The results are encouraging and demonstrate
the potential of phenological parameters obtained from time series
of OLI vegetation indices for agricultural land use
classification.",
doi = "10.5194/isprsarchives-XLI-B8-845-2016",
url = "http://dx.doi.org/10.5194/isprsarchives-XLI-B8-845-2016",
issn = "1682-1750",
language = "en",
urlaccessdate = "28 abr. 2024"
}