author = "Beuchle, Ren{\'e} and Eva, Hugh Douglas and Miranda, Evaristo 
                         Eduardo de and Holler, Wilson Anderson and Oshiro, Osvaldo 
                         Tadatomo and Achard, Fr{\'e}deric",
          affiliation = "{Joint Research Centre of the European Commission} and {Joint 
                         Research Centre of the European Commission} and {EMBRAPA 
                         Monitoramento por Sat{\'e}lite} and {EMBRAPA Monitoramento por 
                         Sat{\'e}lite} and {EMBRAPA Monitoramento por Sat{\'e}lite} and 
                         {Joint Research Centre of the European Commission}",
                title = "Global tropical forest cover change assessment with medium spatial 
                         satellite imagery using a systematic sample grid  data, methods 
                         and first results",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                pages = "2981--2988",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "tropical forest cover, monitoring, Landsat, object-based 
             abstract = "At the Joint Research Centre (JRC) of the European Commission, a 
                         methodology has been developed to monitor the pan-tropical forest 
                         cover with remote sensing data for the years 1990-2000-2005 in 
                         Latin America, Southeast Asia and Africa on the basis of over 4000 
                         sample units sample units with a dimension of 20 km by 20 km 
                         located at every full latitude and longitude degree confluence. 
                         From the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper 
                         (ETM) instruments, images with low cloud impact from the epochs 
                         around the years 1990, 2000 and 2005 were selected and subsets 
                         covering the sample units were cut-out, pre-processed, segmented 
                         and classified in five different land cover classes in order to 
                         build global and regional statistics on tropical forest cover 
                         change. The data was validated in three steps, internal correction 
                         of wrongly classified objects, external (national or regional) 
                         expert validation and internal harmonization of the data. In this 
                         paper, the data collection and the workflow Anais XV Simp{\'o}sio 
                         Brasileiro de Sensoriamento Remoto - SBSR, Curitiba, PR, Brasil, 
                         30 de abril a 05 de maio de 2011, INPE p.2981 2981of the forest 
                         cover change assessment for the epochs 1990 and 2000 is presented. 
                         Parts of the results for the Brazilian Amazon have been validated 
                         by comparing with interpretations of corresponding samples carried 
                         out by the Instituto Nacional de Pesquisas Espaciais (INPE), 
                         showing a very high correlation. Further, the figure produced by 
                         INPE through the PRODES program on gross deforestation for the 
                         years 1990-2000 was compared to the figure calculated on basis of 
                         the JRC results for the respective area, where the JRC estimate 
                         that was ca. 10% higher than the INPE estimate.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/39TMGKH",
                  url = "http://urlib.net/rep/3ERPFQRTRW/39TMGKH",
           targetfile = "p0445.pdf",
                 type = "An{\'a}lise Florestal e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "25 jan. 2021"