@Article{MoreiraBremFontKupl:2019:SeDyVe,
author = "Moreira, Andreise and Bremm, Carolina and Fontana, Denise Cybis
and Kuplich, Tatiana Mora",
affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and
{Funda{\c{c}}{\~a}o Estadual de Pesquisa Agropecu{\'a}ria} and
{Universidade Federal do Rio Grande do Sul (UFRGS)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Seasonal dynamics of vegetation indices as a criterion for
grouping grassland typologies",
journal = "Scientia Agricola",
year = "2019",
volume = "76",
number = "1",
pages = "24--32",
month = "jan.fev.",
keywords = "MODIS, EVI, NDVI, phenology, grassland vegetation.",
abstract = "This study aimed to characterize the average seasonal pattern of
the vegetation in southern grassland in Brazil, and the
variability found in the time series of vegetation indices. It
also sought to identify similarities in the seasonal pattern of
different grassland typologies. Moderate Resolution Imaging
Spectroradiometer (MODIS), Normalized Difference Vegetation Index
(NDVI) and Enhanced Vegetation Index (EVI) images from Feb to Dec,
2000 to 2014 were analyzed for ten regions. The grassland
typologies studied showed EVI and NDVI profiles consistent with
the seasonal dynamics of grassland vegetation under the influence
of a subtropical climate, with highest values in the indices
during the warm seasons of the year (spring and summer) and lowest
in the colder seasons (autumn and winter). Considering the values
of EVI and NDVI, grassland typologies were allocated to four
groups with similar temporal profiles. Among the groups formed
from the EVI index it is possible to identify differences between
grassland typologies during the autumn and winter, while the NDVI
showed differences only in winter as compared to the other
seasons.",
doi = "10.1590/1678-992X-2017-0173",
url = "http://dx.doi.org/10.1590/1678-992X-2017-0173",
issn = "0103-9016",
language = "en",
targetfile = "moreira_seasonal.pdf",
urlaccessdate = "27 abr. 2024"
}