@InProceedings{ResendeNelsAlme:2015:EsCeAm,
               author = "Resende, Ang{\'e}lica Faria de and Nelson, Bruce Walker and 
                         Almeida, Danilo Roberti Alves de",
                title = "Estimating Central Amazon forest structure damage from fire using 
                         sub-pixel analysis",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "542--546",
         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 = "Surface fires cause forest degradation in the seasonal parts of 
                         Amazonia, but upland forests of the more humid Central Amazon 
                         suffer little fire damage. Seasonally flooded igap{\'o} forests 
                         of the central Amazon are an exception, suffering higher fire 
                         mortality than upland forest. Here we ask if spectral end members 
                         can accurately predict fire effects on forest structure. About 100 
                         km south of Manaus a fire penetrated both forest types in 2009. We 
                         compared post-fire spectral indicators of damage against two field 
                         metrics of damage: percent loss of basal area and percent loss of 
                         individuals. We inventoried ten burned plots per forest type, each 
                         250m x 20m. Averages of basal area and of stem density in unburned 
                         areas of both forest types provided estimates of pre-fire 
                         structure of the burned plots. Spectral data were collected from 
                         Landsat 5 pixels intersected by the 20 burned plots. Field 
                         inventories were conducted 3-4 y post-fire to include all delayed 
                         tree mortality. The Landsat 5 image was acquired 1 y after the 
                         fire, before secondary growth caused canopy greening. Using 
                         CLASLite version 2.3 we obtained sub-pixel fractions of NPV, PV 
                         and Soil from the Landsat optical bands converted to surface 
                         reflectance (6s model). Fire damage per plot ranged 0-90% losses 
                         for both basal area and for stem numbers and showed strong linear 
                         relationships with post-fire fractions of PV and of NPV (R2 values 
                         ranging from 0.57 to 0.68).",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "106",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM45DE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM45DE",
           targetfile = "p0106.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "15 jun. 2024"
}