@Article{SilvaGalSanSilMou:2014:SpAtAL,
               author = "Silva, Ricardo Dal'Agnol da and Galv{\~a}o, L{\^e}nio Soares and 
                         Santos, Jo{\~a}o Roberto dos and Silva, Camila Val{\'e}ria de 
                         Jesus and Moura, Yhasmin Mendes de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Spectral/textural attributes from ALI/EO-1 for mapping primary and 
                         secondary tropical forests and studying the relationships with 
                         biophysical parameters",
              journal = "GIScience and Remote Sensing",
                 year = "2014",
               volume = "51",
               number = "6",
                pages = "1--18",
                 note = "{Setores de Atividade: Pesquisa e desenvolvimento 
                         cient{\'{\i}}fico.}",
             keywords = "secondary succession, Amazon, tropical forest, neural network, 
                         ALI/EO-1.",
             abstract = "We analysed spectral and textural attributes from the Advanced 
                         Land Imager (ALI)/EO-1 for land-cover mapping and inspected their 
                         correlation with biophysical parameters of primary and secondary 
                         forests from Eastern Amazon. An artificial neural network (ANN) 
                         technique selected the most relevant spectral/textural attributes, 
                         which were combined for classification of the ALI scene. From the 
                         ANN land-cover map, areas classified as primary forest (PF), 
                         initial (SS1), intermediate (SS2) and advanced (SS3) stages of 
                         secondary succession were studied. Biophysical parameters were 
                         determined from field inventory of 40 sample plots. Results showed 
                         an overall classification accuracy of 79% using reflectance and 
                         89% using the combined data set. The combined data set included 
                         the reflectance of ALI bands 39 and the texture metrics mean 
                         (bands 34; 68) and dissimilarity (band 8). The reflectance of the 
                         near-infrared/shortwave infrared bands and their texture mean 
                         decreased from SS1 to SS3/PF. The gradient between primary and 
                         secondary forests controlled the correlations of reflectance with 
                         biophysical parameters. While the aboveground biomass, basal area, 
                         leaf area index, tree height and canopy cover increased from SS1 
                         to SS3/PF, the reflectance decreased with the development of 
                         canopy structure and the resultant canopy shadows. The mean was 
                         the only texture metric correlated with biophysical parameters.",
                  doi = "10.1080/15481603.2014.972866",
                  url = "http://dx.doi.org/10.1080/15481603.2014.972866",
                 issn = "1548-1603",
                label = "lattes: 1646956319628219 3 SilvaGalSanJSiMou:2014:SpAtAL",
             language = "en",
        urlaccessdate = "10 maio 2024"
}