@Article{MoreiraFontKupl:2019:WaApAp,
author = "Moreira, Andreise and Fontana, Denise Cybis and Kuplich, Tatiana
Mora",
affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and
{Universidade Federal do Rio Grande do Sul (UFRGS)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Wavelet approach applied to EVI/MODIS time series and
meteorological data",
journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
year = "2019",
volume = "147",
pages = "335--344",
month = "Jan.",
abstract = "The aim of this study was to describe the phenology of different
types of grasslands from the Pampa and Mata Atl{\^a}ntica biomes
in the southern region of Brazil and its relation with
meteorological variables, in a time series of EVI/MODIS data using
the Wavelet approach (Transform WT - and Coherence - WC). There is
a lack of studies focusing on how climate variability influences
the phenology of different Brazilian Pampa grassland typologies.
This information is essential to describe the spatio-temporal
dynamics of grasslands and contribute to actions of sustainable
management and conservation strategies, threatened by crops,
forestry, and expansion of overgrazed cattle farms. A series of
EVI/MODIS acquired from February 2000 to December 2014, totaling
342 images, were sampled for each of the 10 grassland typologies
at the study area. Mean EVI data and the WT indicated when and
where changes in the grassland phenological dynamics occurred. The
WC, applied to the EVI/MODIS time series with (i) rainfall and
(ii) air temperature, helped to identify the correlation between
the data. Two well - defined cycles were identified: annual,
ranging from 1 to 23 observations, and interannual, from 92 to 184
observations. The different grassland typologies showed similar
phenological patterns, although some spatial dependency was
observed and related to the different soil and terrain morphometry
at the study area. The influence of those abiotic factors on the
grassland vegetation, phenological events and their expression on
the EVI was also spatially dependent and strongly linked to
weather conditions (e.g., the permanence of humidity after
rainfall in shallow soils) and climate. The correlation between
EVI and air temperature was stronger in the annual cycle for all
grassland typologies. For the interannual cycles, El Niņo and La
Niņa events caused higher correlation between EVI data and
rainfall.",
doi = "10.1016/j.isprsjprs.2018.11.024",
url = "http://dx.doi.org/10.1016/j.isprsjprs.2018.11.024",
issn = "0924-2716",
language = "en",
targetfile = "moreira_wavelet.pdf",
urlaccessdate = "28 abr. 2024"
}