@InProceedings{DalagnolBSWSFOS:2023:QuCaLo,
               author = "Dalagnol, Ricardo and Braga, Daniel and Silva J{\'u}nior, Celso 
                         and Wagner, Fabien and Sagang, Le Bienfaiteur and Favrichon, 
                         Samuel and Ometto, Jean Pierre Henry Balbaud and Saatchi, Sassan",
          affiliation = "{University of California Los Angeles (UCLA)} and {Universidade 
                         Federal de Juiz de Fora (UFJF)} and {University of California Los 
                         Angeles (UCLA)} and {University of California Los Angeles (UCLA)} 
                         and {University of California Los Angeles (UCLA)} and {NASA Jet 
                         Propulsion Laboratory} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {NASA Jet Propulsion Laboratory}",
                title = "Quantifying carbon loss at forests degraded by logging with 
                         repeated airborne Lidar data in the Brazilian Amazon",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e155987",
         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 degradation, LiDAR, carbon.",
             abstract = "Forest degradation is a major issue and a key component of 
                         tropical forests and carbon emissions. In this study, we use 
                         repeated Airborne Laser Scanning (ALS) data to quantify carbon 
                         losses in degraded forests due to logging at the Mato Grosso state 
                         rainforests. We identified logged areas using Planet Norway's 
                         International Climate and Forests Initiative (NICFI) satellite 
                         imagery and estimated aboveground carbon density (ACD) and changes 
                         (\ΔACD) using canopy structure derived from ALS data 
                         acquired before and after the logging. Logging caused carbon 
                         losses between 16-35% of the original ACD, but also as high as 89% 
                         in heavily disturbed areas. Our findings bring estimates to 
                         limited sites, so we recommend caution on using them for estimates 
                         of carbon loss elsewhere. Spatialized and continuous estimates 
                         should be explored in future studies connecting ALS estimates with 
                         other optical and SAR remote sensing datasets.",
  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/4944DHP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/4944DHP",
           targetfile = "155987.pdf",
                 type = "Degrada{\c{c}}{\~a}o de florestas",
        urlaccessdate = "01 maio 2024"
}