@Article{AdamiBAFSERA:2018:SeVeTy,
author = "Adami, Marcos and Bernardes, S{\'e}rgio and Arai, Egidio and
Freitas, Ramon M. and Shimabukuro, Yosio Edemir and
Esp{\'{\i}}rito-Santo, Fernando D. B. and Rudorff, Bernardo F.
T. and Anderson, Liana O.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University
of Georgia Athen} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Aerial Photography \& Imaging Science} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Lancaster
Environment Centre (LEC)} and {Agrosat{\'e}lite Geotecnologia
Aplicada Ltda} and {Centro Nacional de Monitoramento e Alertas de
Desastres Naturais (CEMADEN)}",
title = "Seasonality of vegetation types of South America depicted by
moderate resolution imaging spectroradiometer (MODIS) time
series",
journal = "International Journal of Applied Earth Observation and
Geoinformation",
year = "2018",
volume = "69",
pages = "148--163",
keywords = "Vegetation dynamics, Land cover, Disturbance, Phenology,
MODISSpectral mixing model, Principal component analysis, Time
series.",
abstract = "The development, implementation and enforcement of policies
involving the rational use of the land and the conservation of
natural resources depend on an adequate characterization and
understanding of the land cover, including its dynamics. This
paper presents an approach for monitoring vegetation dynamics
using high-quality time series of MODIS surface reflectance data
by generating fraction images using Linear Spectral Mixing Model
(LSMM) over South America continent. The approach uses
physically-based fraction images, which highlight target
information and reduce data dimensionality. Further dimensionality
was also reduced by using the vegetation fraction images as input
to a Principal Component Analysis (PCA). The RGB composite of the
first three PCA components, accounting for 92.9% of the dataset
variability, showed good agreement with the main ecological
regions of South America continent. The analysis of 21 temporal
profiles of vegetation fraction values and precipitation data over
South America showed the ability of vegetation fractions to
represent phenological cycles over a variety of environments.
Comparisons between vegetation fractions and precipitation data
indicated the close relationship between water availability and
leaf mass/chlorophyll content for several vegetation types. In
addition, phenological changes and disturbance resulting from
anthropogenic pressure were identified, particularly those
associated with agricultural practices and forest removal.
Therefore the proposed method supports the management of natural
and non-natural ecosystems, and can contribute to the
understanding of key conservation issues in South America,
including deforestation, disturbance and fire occurrence and
management.",
doi = "10.1016/j.jag.2018.02.010",
url = "http://dx.doi.org/10.1016/j.jag.2018.02.010",
issn = "0303-2434",
label = "lattes: 7484071887086439 1 AdamiBAFSERA:2018:SeVeTy",
language = "en",
targetfile = "adami_seasonality.pdf",
urlaccessdate = "04 maio 2024"
}