@Article{WiederkehrGamaBisp:2023:AsALDa,
               author = "Wiederkehr, Natalia Cristina and Gama, F{\'a}bio Furlan and 
                         Bispo, Polyana",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Assessing ALOS-2/PALSAR-2 Data's Potential in Detecting Forest 
                         Volume Losses from Selective Logging in a Section of the 
                         Tapaj{\'o}s National Forest",
              journal = "Environmental Sciences Proceedings",
                 year = "2023",
               volume = "27",
                pages = "1--6",
             keywords = "ALOS-2/PALSAR-2, Brazilian Amazon Rainforest, Selective Logging, 
                         Forest Volume Losses.",
             abstract = "This study assesses ALOS-2/PALSAR-2 (ALOS2) polarimetric images 
                         for detecting forest volume losses due to selective logging in a 
                         region in the Brazilian Amazon. Two logging-intensive areas APU 
                         2016 and APU 2017, were studied. ALOS2 imagery atributes, 
                         including backscatter and phase data, were analyzed for 
                         differences between logged and unlogged regions using Wilcoxon's 
                         nonparametric test at a 95% confidence level. The Radar Normalized 
                         Difference Vegetation Index proved effective in detecting 
                         selective logging-induced forest volume losses, with consistent 
                         results (p-value 0.003 for APU 2016 and 0.037 for APU 2017). These 
                         findings provide insights for monitoring and mitigating ecological 
                         impacts from logging in complex forest ecosystems.",
                  doi = "10.3390/ECRS2023-15984",
                  url = "http://dx.doi.org/10.3390/ECRS2023-15984",
                 issn = "2673-4931",
                label = "lattes: 8878442330474257 2 WiederkehrGamaBisp:2023:AsALDa",
             language = "pt",
           targetfile = "manuscript.pdf",
        urlaccessdate = "04 maio 2024"
}