@InProceedings{KuplichCostCapoBarb:2017:PrApTi,
author = "Kuplich, Tatiana Mora and Costa, Luis Fernando Flenik and Capoane,
Viviane and Barbieri, Andreus",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Primeira aproxima{\c{c}}{\~a}o dos Tipos Funcionais de
Vegeta{\c{c}}{\~a}o do Rio Grande do Sul",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2168--2175",
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 = "Time series of vegetation indices describe the temporal and
spatial path of primary productivity or biomass, allowing its
characterization and mapping according to functional types of
vegetation, which might be monitored in face of climate change.
This work aims to generate products from an annual series of
EVI/MODIS on a first approximation of Functional Types of
vegetation (TFV) for the state of Rio Grande do Sul. The Google
Earth Engine (GEE) platform facilitated obtaining and processing a
large volume of remote sensing data, motivating the accomplishment
of this work. The products generated from a 2014 EVI series were:
the Integral (representing the annual primary productivity), the
Range (range of EVI, representing the seasonality in the year
considered) and date of Maximum EVI or maximum vegetative vigor.
These products were classified by density slicing (based on the
histogram) and integrated via map algebra (with decreasing weights
to integral, range and maximum), resulting in 42 classes. Those
were subsequently grouped into 11 TFV, with 4 predominant classes
in terms of spatial coverage. The different TFV found, expressing
the dynamics of productivity, are dependent on several factors
besides the phenology characteristic of each individual or group.
The climate is an important abiotic factor for the TFV, but also
topography, soils and their degradation, and land use dynamics.
The ability to identify phenological patterns and the reasons for
changes in these patterns will make possible the assessment and
prediction of effects of global climatic changes in ecosystems.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59872",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLQ56",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLQ56",
targetfile = "59872.pdf",
type = "Paisagens naturais",
urlaccessdate = "28 abr. 2024"
}