@InProceedings{VieiraPSOOAKBS:2019:IdÁrAg,
               author = "Vieira, Denis Corte and Prudente, Victor Hugo Rodhen and Silva, 
                         Nildson Rodrigues de Fran{\c{c}}a e and Oliveira, Willian Vieira 
                         de and Oldoni, Lucas Volochen and Adami, Marcos and K{\"o}rting, 
                         Thales Sehn and Becker, Willyan Ronaldo and Sanches, Ieda 
                         Del'Arco",
          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)} and 
                         {Universidade Estadual do Oeste do Paran{\'a} (UNIOESTE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Identifica{\c{c}}{\~a}o de {\'a}reas agr{\'{\i}}colas de 
                         ciclo anual no Estado do Paran{\'a} a partir de m{\'e}tricas 
                         temporais de EV12 e NDVI utilizando o Google Earth Engine",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "1564--1567",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "{\'a}reas agr{\'{\i}}colas, m{\'e}tricas temporais, EVI2, 
                         NDVI, Google Earth Engine, croplands, temporal metrics, EVI2, 
                         NDVI, Google Earth Engine.",
             abstract = "Informa{\c{c}}{\~o}es relacionadas {\`a} 
                         distribui{\c{c}}{\~a}o espacial de {\'a}reas agr{\'{\i}}colas 
                         s{\~a}o uma contribui{\c{c}}{\~a}o fundamental e {\'u}til para 
                         v{\'a}rios modelos e estudos relacionados aos fatores naturais, 
                         sociais e econ{\^o}micos. Observa{\c{c}}{\~o}es de 
                         sat{\'e}lites podem subsidiar a gera{\c{c}}{\~a}o de 
                         informa{\c{c}}{\~o}es oportunas, pois s{\~a}o espacialmente 
                         cont{\'{\i}}guas, podendo ser utilizadas para mapear {\'a}reas 
                         agr{\'{\i}}colas, informa{\c{c}}{\~a}o importante para estimar 
                         produ{\c{c}}{\~a}o, e realizar o planejamento econ{\^o}mico e 
                         log{\'{\i}}stico na cadeia agr{\'{\i}}cola. Neste sentido, o 
                         objetivo deste trabalho {\'e} identificar {\'a}reas com cultivos 
                         agr{\'{\i}}colas de ciclo anual no estado do Paran{\'a} a 
                         partir de dados {\'o}pticos, na plataforma Google Earth Engine, 
                         para o ano de 2014, utilizando m{\'e}tricas temporais de EVI2 e 
                         NDVI. As m{\'e}tricas tiveram bom desempenho na 
                         identifica{\c{c}}{\~a}o de {\'a}reas agr{\'{\i}}colas, com 
                         valores de exatid{\~a}o global (EG) entre 88,89 a 97,61%. A 
                         abordagem por meio da m{\'e}trica desvio-padr{\~a}o temporal de 
                         NDVI com limiariza{\c{c}}{\~a}o pelos limites naturais (LN) teve 
                         o melhor resultado, com EG de 97,61%. ABSTRACT: Information 
                         related to spatial distribution of croplands represents a 
                         fundamental and useful contribution to several models and studies 
                         related to natural, social and economic factors. Satellite 
                         observations can subsidize the generation of timely information, 
                         because they are spatially contiguous, and they can be used in 
                         order to map croplands, which generates important information for 
                         production estimate and favors economic and logistical planning in 
                         the agricultural chain. The objective of this paper is to identify 
                         annual croplands in the state of Paran{\'a} from optical data, on 
                         the platform Google Earth Engine, for the year 2014, using 
                         temporal metrics of EVI2 and NDVI. The metrics had a good 
                         performance in the identification of croplands, with overall 
                         accuracy (EG) values with range from 88.89 to 97.61%. The approach 
                         considering the metric of temporal standard deviation of NDVI, 
                         with LN thresholding, presented the best result, with EG of 
                         97.61%.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3TTTDHE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TTTDHE",
           targetfile = "97165.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "03 jun. 2024"
}