02341nab a2200349 i 4500 BR-BrBNA 20260427105943.0 260427b2019 bl.qr|pooa||| 00| 0 eng | BR-BrBNA eng K10 U40 U10 Gonçalves, Anny Francielly Ataide Fernandes, Márcia Rodrigues de Moura Silva, Jeferson Pereira Martins Silva, Gilson Fernandes da Almeida, André Quintão de Cordeiro, Natielle Gomes Silva, Lucas Duarte Caldas da Scolforo, José Roberto Soares Wood Volume Estimation in a Semidecidual Seasonal Forest Using MSI and SRTM Data Publicação on-line; Bibliography p. 8-11; (50 ref.); 2 tables; 2 illus.; Summary (En) ABSTRACT The objective of this study was to evaluate the use of the MSI Sentinel-2 and SRTM data to estimate the volume of wood in a Semidecidual Seasonal Forest. Regression equations were fitted based on the remote sensing data, taking into consideration the individual bands and vegetation index of the MSI, elevation values and their derivatives obtained from the SRTM mission and the combination of the data drawn from the MSI and SRTM. RMSE and graphic analysis of residues were used to assess the accuracy of the fitted equations. The best model revealed values of 0.6508 and RMSE of 20.41% in the fit, and of 0.5680 and RMSE of 26.61% in the validation, using the combined MSI and SRTM data as predictors. The volume estimation using spectral data showed satisfactory results, highlighting the importance of topography in the prediction of the volume of wood for the area under investigation. Keywords: atlantic forest, remote sensing, forest inventory, measurement. MATA ATLÂNTICA SENSORIAMENTO REMOTO INVENTÁRIO FLORESTAL MEDIÇÃO 2929 347954 Rio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 2025-0453 Floresta e Ambiente (Brazil) 1415-0980 / ISSN 2179-8087 0nline v. 26(special number n.1) p. 1-11; (2019) BR2026001289 https://www.scielo.br/j/floram/a/jTQxJvDxmVbMCx48PKVxdYN/?format=pdf&lang=en ANA 341574 341574