@Article{Velastegui-MontoyaLimaAdam:2022:SpDyLa,
               author = "Velastegui-Montoya, A. and Lima, Andr{\'e} de and Adami, Marcos",
          affiliation = "{ESPOL Polytechnic University} and {Universidade Federal do 
                         Par{\'a} (UFPA)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Space-Time Dynamics of Land Use in the Municipality of 
                         Goian{\'e}sia Do Par{\'a}, Brazil",
              journal = "ISPRS International Journal of Geo-Information",
                 year = "2022",
               volume = "11",
               number = "2",
                pages = "e146",
                month = "Feb.",
             keywords = "Amazon basin, Dams, Environmental impact, Hydroelectric power 
                         plant, Land-cover, Landscape metrics, Spatiotemporal analysis.",
             abstract = "Hydroelectric energy generates more than 50% of all renewable 
                         electricity in the world. The Amazon is home to a large part of 
                         these ventures, promoted as a strategy of energy indepen-dence in 
                         order to reduce greenhouse gas emissions in the countries of the 
                         region. However, these hydroelectric plants lead to changes in 
                         land cover, fragmentation, degradation, and loss of tropical 
                         forests. This article analyzes the spatial pattern of alterations 
                         in the land cover of the municipality of Goian{\'e}sia do 
                         Par{\'a}, one of the seven municipalities affected by the 
                         artificial lake of the Tucuru{\'{\i}} hydroelectric plant. This 
                         case study integrates remote sensing and landscape metrics to 
                         identify, quantify, and spatialize the loss of tropical forest 
                         within the municipality by using satellite images of the 
                         TM-Landsat 5, ETM+-Landsat 7 and OLI-Landsat 8 sensors. The 
                         results show that the average deforestation rates were high in the 
                         first two periods: 19841988 (23,101.2 ha per year) and 19881999 
                         (13,428.6 ha per year). However, this rate drastically fell in the 
                         last period because, by 2010, more than 60% of the territory was 
                         already deforested, which shows the consolidation of the 
                         municipalitys deforestation process. © 2022 by the authors. 
                         Licensee MDPI, Basel, Switzerland.",
                  doi = "10.3390/ijgi11020146",
                  url = "http://dx.doi.org/10.3390/ijgi11020146",
                 issn = "2220-9964",
             language = "en",
           targetfile = "ijgi-11-00146.pdf",
        urlaccessdate = "25 jun. 2024"
}