@InProceedings{AraújoAlmeSenaNóbr:2015:MoCoÓt,
               author = "Ara{\'u}jo, Felipe Ramos Nabuco de and Almeida, Jefferson William 
                         Lopes de and Sena, {\'{\I}}talo Sousa de and N{\'o}brega, 
                         Rodrigo Affonso de Albuquerque",
                title = "Modelagem de corredores {\'o}timos para instala{\c{c}}{\~a}o de 
                         empreendimentos ferrovi{\'a}rios com o software livre 
                         Din{\^a}mica EGO a partir de produtos gratuitos de sensoriamento 
                         remoto",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3549--3556",
         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 = "One of the big challenges faced by transportation planning in 
                         Brazil is the use of outdated methods to deal with large number of 
                         variables and policies. Traditional methods still in use by 
                         transportation practitioner were designed decades ago, and present 
                         limited capacity to perform optimal deliverables due to the 
                         today´s complexity of the variables and the policies. Geospatial 
                         technologies such as GIS and remote sensing allow not only the 
                         optimization of the data processing and graphic outputs, but also 
                         build up a comprehensive model to handle spatial data analysis and 
                         compute predictive scenarios for transportation planning. 
                         Nowadays, the availability of free data and free tools amplify 
                         even more the potential of GIS modeling to solve problems in 
                         transportation planning. This paper presents a technique for 
                         modeling optimal corridors for railroad projects using freely 
                         available software and data. The solution employed TOPODATA and 
                         LANDSAT-8 data, and was built on Dynamic EGO platform..The case 
                         study corresponds to 120km of a planned federal railroad segment 
                         between Comodoro/MT and Vilhena/RO. Six major variables of 
                         interest integrates the scope of the multicriteria analysis: 
                         vegetation, anthropic use, developed areas, slope, native indian 
                         protected lands and distance from roads. First, a general 
                         cumulative cost surface was computed from the multicriteria 
                         analysis, and then two cost distance maps from Comodoro/MT and 
                         from Vilhena/RO computed to support the corridor analysis. The 
                         modeling was performed at three different scenarios. Each scenario 
                         correspond to a set of weight for the variables - sensitivity 
                         analysis..The model was proposed to be flexible regarding the 
                         variables of interest, robust regarding the performance, and 
                         replicable regarding other areas to be applied to. The results 
                         show the potential of the technique to design transportation 
                         corridors integrating a diversity of complex data. The model 
                         provides a outstanding solution for early accessing the corridor 
                         area for environmental impact analysis and mitigation studies. 
                         Other than railroads, the model can be customized to other types 
                         of infrastructure projects such as roads, transmission lines and 
                         pipelines.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "698",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4BQN",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4BQN",
           targetfile = "p0698.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "04 maio 2024"
}