Fechar
Metadados

@Article{GrecchiGwynBéniForm:2013:AsSpRa,
               author = "Grecchi, Rosana Cristina and Gwyn, Q. H. J. and B{\'e}ni{\'e}, 
                         Goze Bertin and Formaggio, Ant{\^o}nio Roberto",
          affiliation = "Centre d'Applications et de Recherche en 
                         T{\'e}l{\'e}d{\'e}tection (CARTEL), Universit{\'e} de 
                         Sherbrooke, Sherbrooke, Canada and Centre d'Applications et de 
                         Recherche en T{\'e}l{\'e}d{\'e}tection (CARTEL), 
                         Universit{\'e} de Sherbrooke, Sherbrooke, Canada and Centre 
                         d'Applications et de Recherche en T{\'e}l{\'e}d{\'e}tection 
                         (CARTEL), Universit{\'e} de Sherbrooke, Sherbrooke, Canada and 
                         Brazilian National Institute for Space Research (INPE), Av. dos 
                         Astronautas, S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
                title = "Assessing the spatio-temporal rates and patterns of land-use and 
                         land-cover changes in the Cerrados of southeastern Mato Grosso, 
                         Brazil",
              journal = "International Journal of Remote Sensing",
                 year = "2013",
               volume = "34",
               number = "15",
                pages = "5369--5392",
             keywords = "MATO Grosso (Brazil : State), SPATIO-temporal variation, CERRADOS, 
                         AGRICULTURAL productivity, MODIS (Spectroradiometer), DIGITAL 
                         elevation models, LAND cover, LAND use.",
             abstract = "The Cerrados of central Brazil have undergone profound landscape 
                         transformation in recent decades due to agricultural expansion, 
                         and this remains poorly assessed. The present research 
                         investigates the spatial-temporal rates and patterns of land-use 
                         and land-cover (LULC) changes in one of the main areas of 
                         agricultural production in Mato Grosso State (Brazil), the region 
                         of Primavera do Leste. To quantify the different aspects of LULC 
                         changes (e.g. rates, types, and spatial patterns) in this region, 
                         we applied a post-classification change detection method, 
                         complemented with landscape metrics, for three dates (1985, 1995, 
                         and 2005). LULC maps were obtained from an object-based 
                         classification approach, using the nearest neighbour (NN) 
                         classifier and a multi-source data set for image object 
                         classification (e.g. seasonal Thematic Mapper (TM) bands, digital 
                         elevation model (DEM), and a Moderate Resolution Imaging 
                         Spectroradiometer (MODIS)-derived index), strategically chosen to 
                         increase class separability. The results provided an improved 
                         mapping of the Cerrados natural vegetation conversion into crops 
                         and pasture once auxiliary data were incorporated into the 
                         classification data set. Moreover, image segmentation was crucial 
                         for LULC map quality, in particular because of crop size and 
                         shape. The changes detected point towards increasing loss and 
                         fragmentation of natural vegetation and high rates of crop 
                         expansion. Between 1985 and 2005, approximately 42% (6491 km2) of 
                         Cerrados in the study area were converted to agricultural land 
                         uses. In addition, it was verified that cultivated areas are 
                         encroaching into fragile environments such as wetlands, which 
                         indicates the intense pressure of agricultural expansion on the 
                         environment.",
                  doi = "10.1080/01431161.2013.788798",
                  url = "http://dx.doi.org/10.1080/01431161.2013.788798",
                 issn = "0143-1161",
                label = "scopus",
             language = "en",
        urlaccessdate = "21 jan. 2021"
}


Fechar