@InProceedings{TrindadeAlveNoet:2017:AnPeEs,
author = "Trindade, Filipe Silveira and Alves, Marcelo de Carvalho and
Noetzold, Rafael",
title = "An{\'a}lise de perfis espectro temporais de NDVI e EVI no ciclo
fenol{\'o}gico da cultura de soja e sua aplica{\c{c}}{\~a}o em
sojicultora de precis{\~a}o",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3878--3885",
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 = "The use and analysis of remote sensing products, such as
vegetation indices (NDVI, EVI), assist in crop yields forecast and
could help to match soil fertility status and culture needs,
avoiding unnecessary expenses. Remote sensing could revolutionize
conventional agriculture by facilitating the management of
soybean. This study aimed to evaluate the relationship between
NDVI and EVI indices obtained from MODIS with soybean phenological
cycle using a profile temporal spectrum, relating the spectral
response with soil and plants attributes in four commercial plots
in Campo Verde, MT. We used products from MODIS, MOD13Q1 and
MYD13Q1 sensors. These sensors present NDVI and EVI indices as
image compositions with spatial resolution of 250 meters, and the
Pixel Reliability tool, that indicates how reliable each pixel is.
We correlated the extracted NDVI and EVI indices with measured
field data through Pearson correlation. EVI showed higher
correlations and greater sensitivity to soybean phenological cycle
than NDVI in a time spectrum profile. The phenological stage R5
(grain filling) had high negative correlation with soil phosphorus
(P) and high positive correlation with clay content in the four
plots. Clay content also correlated with productivity in some
plots. It was observed that EVI R5 phase was better correlated
with final soybean yield.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59427",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLTPR",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTPR",
targetfile = "59427.pdf",
type = "Agricultura e silvicultura",
urlaccessdate = "27 abr. 2024"
}