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@Article{SouzaPontAdamNarv:2018:CoEsPa,
               author = "Souza, Arlesson Antonio de Almeida and Pontes, Altem Nascimento 
                         and Adami, Marcos and Narvaes, Igor da Silva",
          affiliation = "{Universidade Estadual do Par{\'a} (UEPA)} and {Universidade 
                         Estadual do Par{\'a} (UEPA)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "A contribui{\c{c}}{\~a}o das estradas e o padr{\~a}o de 
                         desflorestamento e degrada{\c{c}}{\~a}o da cobertura florestal 
                         no sudoeste paraense",
              journal = "Revista Brasileira de Cartografia",
                 year = "2018",
               volume = "69",
               number = "9",
                pages = "1833--1846",
             keywords = "Degrada{\c{c}}{\~a}o, Convers{\~a}o Florestal, DETER-B, 
                         Amaz{\^o}nia, Degradation, Forest Conversion, DETER-B Program, 
                         Amazon.",
             abstract = "Na hist{\'o}ria recente de ocupa{\c{c}}{\~a}o da Amaz{\^o}nia, 
                         as estradas sempre tiveram papel estrat{\'e}gico para impulsionar 
                         a perda da cobertura fl orestal. No entanto, atualmente, a 
                         derrubada da fl oresta ocorre em {\'a}reas inferiores a 0,25 kmē. 
                         Como forma de mapear este padr{\~a}o de altera{\c{c}}{\~a}o da 
                         cobertura fl orestal, o Instituto Nacional de Pesquisas Espaciais 
                         (INPE) criou o sistema DETER-B (Sistema de Detec{\c{c}}{\~a}o de 
                         Desmatamento e Altera{\c{c}}{\~o}es na Cobertura Florestal em 
                         Tempo Quase Real), que utiliza as imagens do Sat{\'e}lite 
                         Sino-Brasileiro de Recursos Terrestres (CBERS-4) e o sensor AWiFS, 
                         do sat{\'e}lite Indian Remote Sensing Satellite (IRS), com 
                         resolu{\c{c}}{\~a}o espacial de 64 m e 56 m, respectivamente. 
                         Esse sistema mapeia desfl orestamento e demais 
                         altera{\c{c}}{\~o}es na cobertura fl orestal a partir de 
                         {\'a}reas de 0,03 kmē. Nesse sentido, o trabalho objetivou 
                         analisar a rela{\c{c}}{\~a}o entre o padr{\~a}o de desfl 
                         orestamento e da degrada{\c{c}}{\~a}o e a dist{\^a}ncia das 
                         estradas na mesorregi{\~a}o do Sudoeste Paraense, ao longo dos 
                         anos de 2012 a 2015, utilizando os dados do DETER-B. As unidades 
                         de conserva{\c{c}}{\~a}o n{\~a}o se mostraram efi cazes na 
                         conten{\c{c}}{\~a}o do desfl orestamento e da 
                         degrada{\c{c}}{\~a}o na mesorregi{\~a}o, dado a grande 
                         propor{\c{c}}{\~a}o de detec{\c{c}}{\~o}es mapeadas em seu 
                         interior. Neste per{\'{\i}}odo, a convers{\~a}o de {\'a}reas 
                         degradas em desfl orestamento foi considerada baixa, com um total 
                         de 8,85%, ao se comparar com outras pesquisas na regi{\~a}o. As 
                         {\'a}reas desfl orestadas e degradadas concentraram-se nos 
                         primeiros 2.500m de dist{\^a}ncia das estradas e em sua grande 
                         maioria com {\'a}rea individual inferior a 0,25 kmē, comprovando 
                         que al{\'e}m do desfl orestamento, as {\'a}reas degradadas 
                         seguem o padr{\~a}o de diminui{\c{c}}{\~a}o da {\'a}rea 
                         m{\'{\i}}nima individual desfl orestada evidenciada desde o ano 
                         de 2004. ABSTRACT: In Amazons recent occupation history, the roads 
                         have always had a strategic role to boost the forest cover loss. 
                         However, nowadays, forest loss occurs in areas smaller than 0.25 
                         Kmē. As a way to map this pattern of forest cover change, the 
                         National Institute for Space Research (INPE) created the DETER-B 
                         system (Near real-time Deforestation Detection and Forest Cover 
                         Changes System) which uses images from the China-Brazil Earth 
                         Resources Satellite Program (CBERS-4) and the AWiFS sensor, from 
                         the Indian Remote Sensing Satellite (IRS) with a spatial 
                         resolution of 64 and 56 m, respectively. This system maps 
                         deforestation and forest cover changes of areas with 0.03 square 
                         kilometers or more. Thus, the study aimed to analyze the 
                         relationship between the deforestation and degradation pattern and 
                         the distance from roads in the middle region of southwest of Paras 
                         state, over 2012 to 2015, using DETER-B forest monitoring system 
                         data. The conservation units were ineff ective in the containment 
                         of deforestation and degradation on the middle region, because of 
                         large proportion of mapped detections in its interior. In this 
                         period, the convertion of degradated into deforested areas was 
                         considered low, as a total of 8.85%, to compare with others 
                         researches on the region. The deforested and degraded areas focus 
                         in the early 2,500 meters of distance on the roads and mostly with 
                         an individual area of less than 0.25 kmē, proving that beyond 
                         deforestation, degraded areas has a pattern of decrease of the 
                         minimum individual deforested {\'a}rea showed since 2004.",
                 issn = "0560-4613 and 1808-0936",
             language = "pt",
           targetfile = "souza_contribuicao.pdf",
        urlaccessdate = "23 nov. 2020"
}


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