@InProceedings{RaimundoReBaSiMeJúSc:2015:EsVoFr,
               author = "Raimundo, Marcel R{\'e}gis and Reis, Aliny Aparecida dos and 
                         Batista, Anderson Pedro Bernardina and Silva, Iasmim Louriene 
                         Gouveia and Mello, Jos{\'e} Marcio de and J{\'u}nior, Fausto 
                         Weimar Acerbi and Scolforo, Henrique Ferra{\c{c}}o",
                title = "Estimativa volum{\'e}trica de um fragmento de Cerrado Sensu 
                         Stricto atrav{\'e}s de t{\'e}cnicas geoestat{\'{\i}}sticas e 
                         sensoriamento remoto",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3319--3325",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The knowledge of the forest stock is important for forest 
                         resources planning. The combination of the forest inventory with 
                         geostatistics and remote sensing provide to more accurate 
                         estimates of forest biomass. Therefore, the present study aimed to 
                         compare volume estimates from the ordinary kriging and co-kriging. 
                         It was used the NDVI as the auxiliary variable for co-kriging. The 
                         work was performed in a fragment of Cerrado Sensu Stricto located 
                         in the north Minas Gerais State. The results shown by the 
                         statistics of the residual standard error (Syx), residual average 
                         and graphs of observed and predicted values and percentage errors 
                         relative to observed values did not show significant differences 
                         between ordinary kriging and co-kriging. Also, it was observed 
                         that the maps generated by kriging and co-kriging are very 
                         similar. These results demonstrate that the use of an auxiliary 
                         variable with low correlation in relation of the primary variable 
                         (r=0,346), as well as the poor spatial dependence of the auxiliary 
                         variable did not aggregate for a more accurate information. The 
                         performing of the co-kriging is not suitable in the situation that 
                         the auxiliary variable presents a low correlation with the main 
                         variable and also when the auxiliary variable presents a poor 
                         spatial dependence.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "657",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4BHT",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4BHT",
           targetfile = "p0657.pdf",
                 type = "Floresta e vegeta{\c{c}}{\~a}o",
        urlaccessdate = "15 maio 2024"
}