author = "Rappaport, Danielle I and Morton, Douglas Christopher",
                title = "Combining airborne lidar and acoustic remote sensing to 
                         characterize the impacts of Amazon forest degradation",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4040--4047",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Frontier forests in the Brazilian Amazon have been heavily altered 
                         by nearly a half-century of deforestation for agriculture and 
                         degradation from fire and logging. The long-term effects of forest 
                         degradation on habitat structure and habitat use remain poorly 
                         understood, largely due to the limitations of traditional field 
                         methods for characterizing heterogeneity at relevant spatial and 
                         temporal scales. This work demonstrates the opportunity to assess 
                         degradation impacts on ecosystem structure and biodiversity at 
                         landscape scales (200 km2) by combining airborne lidar and 
                         acoustic remote sensing across two municipalities in Mato Grosso, 
                         Feliz Natal and Nova Ubirata\̃. Among degradation classes, 
                         our results indicate that repeated fire events have the most 
                         destructive legacy for both habitat structure and habitat use. 
                         Lidar analyses reveal that repeated fire events can result in a 
                         total loss of original canopy trees. Similarly, our acoustic 
                         analyses suggest that repeated fires may fundamentally transform 
                         animal community composition. The combination of remote sensing 
                         approaches bridges the scale gap between ground-based and 
                         satellite observations to support a regional-scale investigation 
                         into the complex consequences of Amazon forest degradation.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59292",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2DM",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSM2DM",
           targetfile = "59292.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "15 jan. 2021"