@InProceedings{AlmeidaNelAlmGorRes:2015:AnSuIm,
               author = "Almeida, Danilo Roberti Alves de and Nelson, Bruce Walker and 
                         Almeida, Juliana Schietti de and Gorgens, Eric Bastos and Resende, 
                         Ang{\'e}lica Faria de",
                title = "An{\'a}lises de susceptibilidade e impacto de inc{\^e}ndios 
                         florestais em uma floresta alag{\'a}vel (igap{\'o}) na 
                         Amaz{\^o}nia central por meio de lidar terrestre port{\'a}til",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1316--1322",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Nutrient-poor and seasonally flooded Amazon forests have suffered 
                         high impacts from forest fires. During the dry periods, seasonally 
                         flooded forests can present higher air temperature and lower 
                         humidity compared to upland forests, enabling the occurrence and 
                         spread of fire. These microclimatic conditions may be related to 
                         structural attributes of the forest (canopy gap fraction, height 
                         and density of understory) that favor changing the microclimate. 
                         The aim of this study was to analyze these attributes to determine 
                         susceptibility and impacts of fires in these forests. To estimate 
                         these forest structure attributes we used a portable active remote 
                         sensing system equipped with LiDAR RIEGL LD90-3100VHS-FLP. The 
                         operation of the data collection in the field is quick and easy. 
                         Forest structural attributes are extracted from two-dimensional 
                         clouds of first or last returns at 2000 Hz. The 900 nm beam is 
                         strongly reflected by leaves. The instrument was mounted on a 
                         gimbal to maintain a zenith shot angle and it was carried 1m above 
                         the ground. Ten walks of 250m at a constant speed were made in 
                         each forest type: (1) unburned flooded forest (2) burned flooded 
                         forest (3) unburned upland forest and (4) burned upland forest. 
                         The flooded forest showed a major damage after fire and was also 
                         considered more susceptible to fire occurrence due to higher gap 
                         fraction (which increases the entry of sunlight), lower canopy 
                         height (what makes flooded forests more vulnerable to the external 
                         environment) and lower understory density (less alive and moist 
                         vegetation to contain the spread of fire).",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "240",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4822",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4822",
           targetfile = "p0240.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "04 maio 2024"
}