@InProceedings{NelsonGonįChenSale:2023:PeEf20,
               author = "Nelson, Bruce Walker and Gon{\c{c}}alves, Nathan Borges and Chen, 
                         Shuli and Saleska, Scott Reid",
          affiliation = "{Instituto Nacional de Pesquisas da Amaz{\^o}nia (INPA)} and 
                         {Michigan State University} and {University of Arizona} and 
                         {University of Arizona}",
                title = "Persistent effect of 2015 El Niņo drought on NIR reflectance of 
                         central Amazon upland 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 = "e155951",
         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 = "forest, drought effect, NIR reflectance.",
             abstract = "A Landsat 8 surface reflectance (SR) image of the Manaus region 
                         acquired 27 July 2016, seven months after the El Niņo drought of 
                         2015 ended, was compared to a pre-drought SR image (10 August 
                         2015) and a recent SR image (28 July 2022), the latter two 
                         representing normal climate conditions. All three have similar 
                         DOY, similar solar elevation angles and fixed view angle for the 
                         area of interest part of a large military reserve 35 km northeast 
                         of Manaus. The sevenmonth post-drought image shows lowered NIR 
                         reflectance of the forest canopy in all forest types, with 
                         greatest effect on well-drained oxisol plateaus with deep water 
                         table, suggesting persistent physiological damage to leaves or 
                         decreased upper canopy LAI. These patterns must still be 
                         corroborated using other Central Amazon scenes and sensors.",
  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/4944DQE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/4944DQE",
           targetfile = "155951.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "15 jun. 2024"
}