@InProceedings{ShimabukuroDuAnArVaSaAu:2004:DeDeBr,
               author = "Shimabukuro, Yosio Edemir and Duarte, Valdete and Anderson, L. O. 
                         and Arai, Egidio and Valeriano, Dalton Morrison and Santo, F. D. 
                         B. E. and Aulicino, L. C. M. De",
                title = "Deforestation detection in brazilian amazon region in a near real 
                         time using terra modis daily data",
            booktitle = "Proceedings...",
                 year = "2004",
                pages = "3405--3408",
         organization = "International Geoscience and Remote Sensing Symposium, 5. 
                         (IGARSS)",
            publisher = "IEEE",
             keywords = "Algorithms, Data reduction, Geographic information systems, Image 
                         analysis, Project management, Remote sensing, Vegetation, Amazon 
                         region, MODIS sensors, Spatial resolution, Surface reflectance, 
                         Deforestation, Algorithms, Data Processing, Deforestation, GIS, 
                         Image Analysis, Plants, Remote Sensing.",
             abstract = "This paper presents a methodology for detecting deforestation 
                         activities in a near real time using Terra MODIS daily data. This 
                         work is part of the operational PRODES Project of INPE (Brazil) 
                         that estimates the annual deforestation in Brazilian Amazon. The 
                         detection of deforested areas by MODIS daily data is a useful 
                         information for enforcement of forest protection laws. The 
                         proposed methodology, named {"}DETER{"} Project, will follow the 
                         dynamics of deforestation activities while the PRODES Digital 
                         project is evaluating the total area deforested during the study 
                         year using higher spatial resolution data. For the development of 
                         this methodology, it was used a temporal series of MODIS MOD09 
                         product (surface reflectance) from June to October over an area 
                         covered by one Landsat ETM+ scene located in Mato Grosso State, 
                         Brazilian Amazon region. The obtained results were compared to the 
                         corresponding Landsat ETM+ images acquired in the same dates of 
                         MODIS images. The small deforestation areas (lower than 15 ha) are 
                         detected with less accuracy by MODIS. As the areas deforested 
                         increases, the MODIS results come near to the ETM+ results. The 
                         results showed that MODIS sensor daily data can be used for an 
                         operational deforestation detection in the Brazilian Amazon.",
  conference-location = "Anchorage, AK",
      conference-year = "20 - 24 Sept. 2004",
                label = "self-archiving-INPE-MCTIC-GOV-BR",
             language = "en",
         organisation = "IEEE; IEEE Geoscience and Remote Sensing Society; The Geophysical 
                         Institute of the University of Alaska Fairbanks; University of 
                         Missouri-Columbia; National Aeronautics and Space Administration, 
                         NASA",
        urlaccessdate = "11 maio 2024"
}