@Article{DiedrichSaldKupl:2016:ÁrPoOc,
               author = "Diedrich, Vianei Lu{\'{\i}}s and Saldanha, Dejanira Luderitz and 
                         Kuplich, Tatiana Mora",
          affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "{\'A}reas potenciais {\`a} ocorr{\^e}ncia de floresta nativa 
                         por meio de dados geomorfom{\'e}tricos e hidrogr{\'a}ficos, 
                         regi{\~a}o dos campos de cima da serra – rs",
              journal = "Revista Brasileira de Cartografia",
                 year = "2016",
               volume = "68",
               number = "5",
                pages = "929--943",
             keywords = "Floresta Ombr{\'o}fi la Mista, Mapeamento Tem{\'a}tico, 
                         Sensoriamento Remoto, SRTM, Mapa Potencial, Araucaria Forest, 
                         Thematic Mapping, Remote Sensing, SRTM, Potential Map.",
             abstract = "As fl orestas exercem um importante papel na 
                         manuten{\c{c}}{\~a}o da biodiversidade natural. Estudos que 
                         envolvem a compreens{\~a}o da din{\^a}mica fl orestal podem 
                         auxiliar nas medidas de mitiga{\c{c}}{\~a}o e 
                         compensa{\c{c}}{\~a}o ambiental, diante dos impactos negativos 
                         provocados pelo homem. Neste trabalho, a Floresta Ombr{\'o}fi la 
                         Mista foi mapeada com o aux{\'{\i}}lio de imagens do 
                         sat{\'e}lite Landsat 5, na regi{\~a}o nordeste do Rio Grande do 
                         Sul. O mapeamento serviu de base para a an{\'a}lise 
                         estat{\'{\i}}stica da rela{\c{c}}{\~a}o da fl oresta com cinco 
                         tipos de vari{\'a}veis geomorfom{\'e}tricas, obtidas a partir 
                         dos dados SRTM (Shuttle Radar Topography Mission) e a base 
                         hidrogr{\'a}fi ca (escala 1:50.000). Foi estabelecida a 
                         rela{\c{c}}{\~a}o de ocorr{\^e}ncia da vegeta{\c{c}}{\~a}o 
                         arb{\'o}rea ao longo do relevo por meio de um mapa de {\'a}reas 
                         potenciais {\`a} forma{\c{c}}{\~a}o fl orestal, gerado pela 
                         an{\'a}lise multicrit{\'e}rio. As {\'a}reas de fl oresta 
                         mapeadas representam 27% do total da {\'a}rea de estudo (9.004,38 
                         km²). As an{\'a}lises indicaram a declividade como fator 
                         importante na distribui{\c{c}}{\~a}o espacial da fl oresta, 
                         aliado {\`a} proximidade dessa vegeta{\c{c}}{\~a}o com a 
                         hidrografi a local. O mapa de vegeta{\c{c}}{\~a}o potencial 
                         gerado pela integra{\c{c}}{\~a}o entre a declividade e a 
                         hidrografi a representa 65% da fl oresta identifi cada em 2010. Os 
                         resultados indicam a possibilidade de aproxima{\c{c}}{\~a}o fl 
                         orestal sobre a matriz campestre entre as bacias hidrogr{\'a}fi 
                         cas Taquari-Antas e Apua{\^e}-Inhandava, potencializada pelas 
                         sub-bacias dos rios Touros e Cerquinha, ambos tribut{\'a}rios do 
                         rio Pelotas. ABSTRACT: Forest play an important role in 
                         maintaining natural biodiversity. Studies to understand the forest 
                         dynamics may assist in mitigation and environmental compensation 
                         result from the human impact on the environment. In the present 
                         study, the araucaria forest was mapped through satellite images of 
                         Landsat 5 in the northeast region of Rio Grande do Sul state. The 
                         mapping was used as basis for the statistical analysis of the 
                         forest relation with fi ve types of geomorphometric variables 
                         derived from SRTM (Shuttle Radar Topography Mission) data and 
                         watershed (scale 1:50.000). The relation of tree vegetation 
                         occurrence along the relief through a map of potential areas to 
                         forest shaping was established, generated by Multi-Criteria 
                         Evaluation. The mapped forest areas represent 27% of all study 
                         area (9.004,38 km²). The analysis indicated the slope as a factor 
                         in the forest spatial distribution combined to the proximity of 
                         this vegetation with local hydrography. The map of potential 
                         vegetation generated by the integration between slope and 
                         hydrography represents 65% of the identifi ed forest in 2010. The 
                         results present the possibility of forest approximation on the 
                         grassland matrix between the Taquari-Antas and 
                         Apua{\^e}-Inhandava watersheds, through the Touros and Cerquinha 
                         sub-basins, both Pelotas river tributaries.",
                 issn = "0560-4613 and 1808-0936",
             language = "pt",
           targetfile = "dietrich_areas.pdf",
        urlaccessdate = "27 abr. 2024"
}