@Article{ZiotiFQNCSSS:2022:PlLaUs,
               author = "Zioti, Fabiana and Ferreira, Karine Reis and Queiroz, Gilberto 
                         Ribeiro de and Neves, Alana Kasahara and Carlos, Felipe Meninio 
                         and Souza, Felipe Carvalho de and Santos, Lorena Alves dos and 
                         Sim{\~o}es, Rolf Ezequiel de Oliveira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "A platform for land use and land cover data integration and 
                         trajectory analysis",
              journal = "International Journal of Applied Earth Observation and 
                         Geoinformation",
                 year = "2022",
               volume = "106",
                pages = "e102655",
                month = "Feb.",
             keywords = "Data integration and analysis, Land use and land cover 
                         trajectory.",
             abstract = "nformation on land use and land cover (LULC) is essential to 
                         support governments in making decisions about the impact of human 
                         activities on the environment, planning the use of natural 
                         resources, conserving biodiversity, and monitoring climate change. 
                         Nowadays, different initiatives systematically produce information 
                         on LULC dynamics, on global, national, and regional scales. 
                         Examples of open and global LULC data products are Global 
                         Land-cover Classification with a Fine Classification System, 
                         Copernicus Global Land Service, and Global Land Cover by European 
                         Space Agency (ESA). At the national and regional level in Brazil, 
                         we can cite the data sets produced by PRODES, TerraClass, 
                         MapBiomas, and IBGE. Although these initiatives provide rich 
                         collections of open LULC maps, there is still a gap in tools that 
                         facilitate the integration of these data sets. The integrated 
                         analysis of these collections requires considerable effort by 
                         researchers who have to download, organize and harmonize them in 
                         their local computers, facing with different spatiotemporal 
                         resolutions and classification systems containing distinct class 
                         numbers, names and meanings. Besides that, these collections are 
                         distributed in different data formats through files or web 
                         services. To minimize these efforts, we propose a platform that 
                         allows users to access LULC collections from distinct sources, map 
                         their distinct classification systems, and retrieve LULC 
                         trajectories associated with spatial locations by integrating 
                         these collections. Besides the platform architecture description, 
                         this paper presents a case study that demonstrates its use in the 
                         integration and analysis.",
                  doi = "10.1016/j.jag.2021.102655",
                  url = "http://dx.doi.org/10.1016/j.jag.2021.102655",
                 issn = "0303-2434",
             language = "en",
           targetfile = "zioti_platform.pdf",
        urlaccessdate = "17 maio 2024"
}