@Article{EberhardtLuizFormSanc:2015:DeÁrAg,
author = "Eberhardt, Isaque Daniel Rocha and Luiz, Alfredo Jos{\'e} Barreto
and Formaggio, Ant{\^o}nio Roberto and Sanches, Ieda Del Arco",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Embrapa
Meio Ambiente} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Detec{\c{c}}{\~a}o de {\'a}reas agr{\'{\i}}colas em tempo
quase real com imagens Modis",
journal = "Pesquisa Agropecu{\'a}ria Brasileira",
year = "2015",
volume = "50",
number = "7",
pages = "605--614",
month = "jul",
keywords = "Crop monitoring, DATQuaR, Remote sensing, Summer crop maps.",
abstract = "The objective of this work was to develop a method to identify and
monitor, in near real-time, crop field areas cultivated with
temporary summer crops, using Modis orbital images, in the state
of Rio Grande do Sul, Brazil. The methodology was called near
real-time detection of crop fields (DATQuaR) and uses Modis sensor
images of the NDVI and EVI vegetation indices (VIs) from 16-day
composites. Four different metrics were used to aggregate the
values of VIs per pixel, in the bimonthly periods evaluated:
average, maximum, minimum, and median. To generate the images
(ImDATQuaR), the aggregated image for the previous period was
subtracted from the aggregated image for the monitored period.
These images were classified by slicing and compared with the
reference classes obtained by the visual interpretation of
randomly selected pixels in Landsat images. Each ImDATQuaR image
generated two DATQuaR maps: one with a 3x3 pixel window mode
filter and another without filtering. The best DATQuaR map is
produced using EVI images and filtering-by subtracting the image
of minimum value for the previous period from the image of maximum
value for the monitored period-and achieves agreement with the
reference over 81%.",
doi = "10.1590/S0100-204X2015000700010",
url = "http://dx.doi.org/10.1590/S0100-204X2015000700010",
issn = "0100-204X",
language = "en",
targetfile = "eberhardt_deteccao.pdf",
urlaccessdate = "27 abr. 2024"
}