@Article{SilvaNaRoSiSaLu:2023:CaStBa,
               author = "Silva, Izaias de Souza and Nascimento, Diego Tarley Ferreira and 
                         Rom{\~a}o, Patr{\'{\i}}cia de Ara{\'u}jo and Silva, Gladis de 
                         F{\'a}tima Nunes da and Sales, Maur{\'{\i}}cio Martines and 
                         Luz, Marta Pereira da",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal de Goi{\'a}s (UFG)} and {Universidade 
                         Federal de Goi{\'a}s (UFG)} and {Universidade do Estado de 
                         Roraima (UERR)} and {Universidade Federal de Goi{\'a}s (UFG)} and 
                         {Eletrobr{\'a}s Furnas}",
                title = "Proposition of LULC mapping in progressive detailing for the 
                         surroundings of hydroelectric powerplant reservoirs: Case study 
                         for the Batalha (Brazil)",
              journal = "International Journal of Applied Earth Observation and 
                         Geoinformation",
                 year = "2023",
               volume = "118",
                pages = "e103218",
                month = "Apr.",
             keywords = "Google Earth Engine, Hydroelectric dams, Land Use and Land Cover, 
                         LULC change.",
             abstract = "Surroundings of hydroelectric powerplant reservoirs have peculiar 
                         conditions of land use dynamics. In this sense, the objective of 
                         this work is to provide a methodological proposal for mapping the 
                         land use and land cover (LULC) in progressive detailing of 
                         surroundings of reservoirs of Hydroelectric Power Plants (HPP). To 
                         achieve this objective, we're mapped Batalha HPP (Brazil) as a 
                         case study. The approach to mapping LULC with progressive 
                         detailing consisted of three successive and complementary stages: 
                         the first, of reconnaissance (1:100,000), is based on the use of 
                         secondary cartographic and census data for the period 1985 to 
                         2020, contemplating the Area of Direct Influence (ADI) of the 
                         Batalha HPP reservoir; the second stage, of semi-detail 
                         (1:25,000), consists of the use of Sentinel 2 images from the year 
                         2021, spectral indices and the incorporation of manually 
                         vectorized files, for the spatial clipping of the Direct 
                         Contribution Basins (DCBs) and; the third and final step, of 
                         detail (1:10,000), made use of merged CBERS 4A images with a 
                         spatial resolution of 2 m analyzing the Limit of the Immediate 
                         Margins (LIM) of the reservoir. The data from the reconnaissance 
                         stage showed a clear dynamic of LULC change between 1985 and 2020 
                         in the ADI of the Batalha HPP reservoir, with reduction and 
                         fragmentation of vegetation, due to the incorporation of areas for 
                         pasture and mainly, agriculture. In the semi-detail stage, the 
                         data showed that the DCBs of the reservoir of Batalha HPP were 
                         mainly related to agricultural use. The last step, of detail for 
                         the analysis of LIM, portrayed a condition of greater protection 
                         of the margins by vegetation cover, due to proximity to 
                         reservoirs. Due to the overall accuracy of 0.87, 0.95, and 0.91, 
                         respectively, the mapping of LULC changes in the three subsequent 
                         steps showed very good performance.",
                  doi = "10.1016/j.jag.2023.103218",
                  url = "http://dx.doi.org/10.1016/j.jag.2023.103218",
                 issn = "0303-2434",
             language = "en",
           targetfile = "1-s2.0-S1569843223000407-main.pdf",
        urlaccessdate = "20 maio 2024"
}