@InProceedings{DutraRMMAHSA:2023:MuAnSe,
               author = "Dutra, Andeise Cerqueira and Ramos, Desiree and Morellato, Leonor 
                         Patr{\'{\i}}cia and Moura, Magna and Arai, Egidio and Huete, 
                         Alfredo and Shimabukuro, Yosio Edemir and Alberton, Bruna",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Estadual Paulista (UNESP)} and {Universidade 
                         Estadual Paulista (UNESP)} and {Embrapa Semi{\'a}rido} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Technology Sydney} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Universidade Estadual Paulista (UNESP)}",
                title = "Leaf phenology from canopy landscape: a multi-scale analysis in 
                         seasonally dry tropical forests",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156071",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, digital cameras, caatinga, time series, start of 
                         the growing season.",
             abstract = "Understanding leaf phenology patterns and the drivers that 
                         regulate them is critical to climate change studies. In this 
                         manner, this study aimed to analyze leaf phenology patterns by 
                         near and orbital remote sensing (RS) and their relation to 
                         environmental variables. We found that the analyzed Seasonally Dry 
                         Tropical Forests site exhibited a deciduous pattern on three 
                         different observation scales that responded primarily to 
                         cumulative rainfall. The start of the growing season between near 
                         and orbital RS showed differences of seven days, which was mainly 
                         affected by the low temporal resolution and high cloud incidence 
                         in the orbital RS.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/494E67S",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/494E67S",
           targetfile = "156071.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "08 maio 2024"
}