@InProceedings{Shimabukuro:2018:MoSyUs,
               author = "Shimabukuro, Yosio Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Brazilian Amazon forest from space: monitoring systems using 
                         satellite images",
            booktitle = "Proceedings...",
                 year = "2018",
         organization = "International Conference on Remote Sensing Technologies and 
                         Applications (ICRSTA), 3.",
             abstract = "Amazonia is the greatest rain forest biome in our Planet, and the 
                         place where we can find the largest continuous extension of 
                         tropical forests still existing. In Brazilian Amazon, an 
                         accelerated process of anthropization of extense mass of forest 
                         began by the end of the 1960 decade, due to governmental policies 
                         intending to integrate the vast Amazonian territory in the country 
                         with roads, human settlements, and the resultant expansion of 
                         frontiers for agriculture and cattle farming. The Brazilian 
                         government has historically organized its policies for 
                         surveillance and control of the Brazilian Amazon forest through 
                         the use of space technology tools. In operational terms, it has 
                         been made possible because historical data provided by 
                         Landsat-series satellites through a methodological development in 
                         the extraction of information from images taken by sensors (MSS, 
                         TM, ETM+, OLI/Landsat) to map and monitor activities that convert 
                         forest typology into areas of agriculture and/or cattle farming. 
                         In face of constant international pressure, the PRODES Brazilian 
                         deforestation monitoring project 
                         (http://www.dpi.inpe.br/prodesdigital/) has been set up inside 
                         INPE (Brazilian National Institute for Space Research). However, 
                         PRODES information is obtained using low temporal resolution 
                         images from Landsat (16 days), and very often the government and 
                         environment-control agencies need to have an efficient and 
                         operational procedure, as close as possible to a real-time follow 
                         up, to monitor the rapid dynamics of deforestation activities. 
                         Thus, since data from MODIS/Terra and MODIS/Aqua sensors became 
                         available, with a temporal resolution of about two days for the 
                         Amazonian region, these products have been providing for a very 
                         big potential of application in near-real-time monitoring of 
                         deforested areas. In this way, a new methodology has been 
                         developed through a project called DETER (Real-Time Detection of 
                         Deforestation, http://www.obt.inpe.br/deter/indexdeter). This work 
                         presents an overview of the spatial distribution of deforestation 
                         and its dynamics in the Brazilian Amazonia, taking from a regular 
                         program of annual (Analogic PRODES and Digital PRODES) and monthly 
                         (DETER) monitoring of that immense territory through remote 
                         sensing. Information given about rates (since 1988) and spatial 
                         distribution (since 2000) of this forest conversion has been 
                         useful to characterize the magnitude and the directions of change, 
                         giving subsidies to those who make decision and helping them to 
                         direct public policies and make an adequate environmental 
                         governance of this key region of our Planet, most especially in 
                         areas considered to be hot spots, where anthropic pressure is 
                         greater.",
  conference-location = "Bangkok, Tailandia",
      conference-year = "5-7 jan.",
                label = "lattes: 1913003589198061 1 Shimabukuro:2018:MoSyUs",
             language = "en",
        urlaccessdate = "27 abr. 2024"
}