@InProceedings{FreitasSRAASSR:2011:OnViTo,
author = "Freitas, Ramon Morais De and Shimabukuro, Yosio Edemir and Rosa,
Reinaldo Roberto and Adami, Marcos and Arai, Egidio and Sato,
Fernando Yuzo and Souza, Arley Ferreira De and Rudorff, Bernardo
F. T.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {} and {} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "An On-line Visualization Tool Using MODIS and TRMM Time-series for
Land Use and Land Cover Studies at South America",
booktitle = "Anais...",
year = "2011",
editor = "Castro, Ana Paula Abrantes de and Drummond, Isabela Neves and
Sandri, Sandra Aparecida",
organization = "Workshop dos Cursos de Computa{\c{c}}{\~a}o Aplicada do INPE,
11. (WORCAP).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "MODIS, remote sensing, time-series visualization, virtual globe.",
abstract = "This work presents the development of a tool for visualization of
time-series derived from remote sensing sensors. This work
introduces the new concept of Virtual Laboratory of Remote Sensing
Time Series to support Land Use and Land Cover - LULC Changes
studies over large spatial temporal datasets. The MODIS (Moderate
Resolution Imaging Spectroradiometer) and TRMM (Tropical
Rainforest Measuring Mission) time-series are used to support
applications on the environmental monitoring as deforestation
detection. The Virtual Laboratory of Remote Sensing Time Series is
composed by a dataset with more than 500 million EVI2 (Enhanced
Vegetation Index 2) profiles for the entire South America
continent based on a 11 years history of daily MODIS data
acquisition. The original EVI2 time series was filtered using the
Daubechies (Db8) orthogonal Discrete Wavelets Transform. The
filtering procedure smoothes high frequencies that are associated
with clouds cover and sensor noises. The EVI2 time series were
integrated into the virtual globe using Google Maps and Google
Visualization Application Programming Interface functionalities.
For each call of a geographic coordinate from the virtual globe
the EVI2 profiles are instantaneously recovered for visualization.
The tool demonstrated to be useful for rapid LULC change analysis
to environmental monitoring, at the pixel level, over large
regions.",
conference-location = "S{\~a}o Jos{\'e} dos Campos",
conference-year = "8-10 nov. 2011",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP8W/3AKPC85",
url = "http://urlib.net/ibi/8JMKD3MGP8W/3AKPC85",
targetfile = "worcap2011_submission_18.pdf",
urlaccessdate = "09 maio 2024"
}