@InProceedings{Pantoja`OliHigu:2017:DeExMa,
               author = "Pantoja, Nara Vidal and d`Oliveira, Marcus V. N. Vin{\'{\i}}cio 
                         Neves and Higuchi, Niro",
                title = "Detec{\c{c}}{\~a}o da explora{\c{c}}{\~a}o madeireira a partir 
                         de imagens Landsat e dados LiDAR no Sudoeste da Amaz{\^o}nia",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1408--1415",
         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 = "Structural changes on forest canopy produced by selective logging 
                         can be identified through satellite images, which shows the 
                         location and extent of these areas. The aim of this study was to 
                         analyze the detection of logging infrastructure using Landsat 
                         images and LiDAR data and verify how long logging scars can be 
                         identified through remote sensing. The study was carried out in an 
                         annual production unite at the Antimary State Forestry Acre State, 
                         western Amazon. We used Non-Photosynthetic Vegetation (NPV) images 
                         to identify log landings and compare its location with relative 
                         vegetation density models generated from LiDAR data. We also 
                         compared the log landing areas identified in the images with the 
                         location of 40 log landings obtained in the field through DGPS. 
                         The mean area of the detected by landsat images landings was 435 
                         m2 while the undetected landings was 302 m2. The technique tested 
                         in this study allowed us to detect 30% of the log landings in NPV 
                         images and assisted in the visual interpretation of the canopy 
                         opened produced by selective logging. The relative vegetation 
                         density model tested in this study successfully identified altered 
                         by forest operations area two years after logging, while using 
                         Landsat images these areas could be detected only in the logging 
                         year.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59807",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4GLC",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GLC",
           targetfile = "59807.pdf",
                 type = "LIDAR: sensores e aplica{\c{c}}{\~o}es",
        urlaccessdate = "27 abr. 2024"
}