@Article{FreitasAAFYSRAR:2011:ViMOEV,
               author = "Freitas, Ramon Morais de and Arai, Egidio and Adami, Marcos and 
                         Ferreira, A. S. and Yuzo, Fernando and Shimabukuro, Yosio Edemir 
                         and Rosa, Reinaldo Roberto and Anderson, Liana Oighenstein and 
                         Rudorff, Bernardo Friedrich Theodor",
          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 {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and 2University 
                         of Oxford, Environmental Change Institute – ECI, Oxford, UK. and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Virtual laboratory of remote sensing time series: visualization of 
                         MODIS EVI2 data set over South America",
              journal = "Journal of Computational Interdisciplinary Sciences",
                 year = "2011",
               volume = "2",
               number = "1",
                pages = "57--64",
                 note = "Setores de Atividade: Agricultura, Pecu{\'a}ria, 
                         Produ{\c{c}}{\~a}o Florestal, Pesca e Aq{\"u}icultura.",
             keywords = "MODIS, EVI2, wavelets transform, time series analysis, virtual 
                         globe, land use and land cover changes, forest, agriculture, South 
                         America, instantaneous visualization.",
             abstract = "Over the last ten years millions of gigabytes of MODIS (Moderate 
                         Resolution Imaging Spectroradiometer) data have been generated 
                         which is forcing the remote sensing users community to a new 
                         paradigm in data processing for image analysis and visualization 
                         of these time series. In this context this paper aims to present 
                         the development of a tool to integrate the 10 years time series of 
                         MODIS images into a virtual globe to support LULC change studies. 
                         Initially the development of a tool for instantaneous 
                         visualization of remote sensing time series within the concept of 
                         a virtual laboratory framework is described. The virtual 
                         laboratory is composed by a data set with more than 500 million 
                         EVI2 (Enhanced Vegetation Index 2) time series derived from MODIS 
                         16-day composite data. The EVI2 time series were filtered with 
                         sensor ancillary data and Daubechies (Db8) orthogonal Discrete 
                         Wavelets Transform. Then EVI2 time series were integrated into the 
                         virtual globe using Google Maps and Google Visualization 
                         Application Programming Interface functionalities. The Land Use 
                         Land Cover changes for forestry and agricultural applications are 
                         presented using the proposed time series visualization tool. The 
                         tool demonstrated to be useful for rapid LULC change analysis, at 
                         the pixel level, over large regions. Next steps are to further 
                         develop the Virtual Laboratory of Remote Sensing Time Series 
                         Framework by extending this work for other geographical regions, 
                         incorporating new computational algorithms, testing data from 
                         other sensors and updating the MODIS time series.",
                 issn = "1983-8409 and 2177-8833",
                label = "lattes: 7514918598084999 9 FreitasAAFYSRAR:2011:ViOfMO",
             language = "pt",
           targetfile = "freitas.pdf",
        urlaccessdate = "13 maio 2024"
}