Gonçalves, Anny Francielly Ataide creator Fernandes, Márcia Rodrigues de Moura creator Silva, Jeferson Pereira Martins creator Silva, Gilson Fernandes da creator Almeida, André Quintão de creator Cordeiro, Natielle Gomes creator Silva, Lucas Duarte Caldas da creator Scolforo, José Roberto Soares creator text periodical abstract or summary bl. continuing eng 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. Publicação on-line; Bibliography p. 8-11; (50 ref.); 2 tables; 2 illus.; Summary (En) MATA ATLÂNTICA SENSORIAMENTO REMOTO INVENTÁRIO FLORESTAL MEDIÇÃO Rio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 2025-0453 1415-0980 / ISSN 2179-8087 0nline BR2026001289 v. 26(special number n.1) p. 1-11; (2019) https://www.scielo.br/j/floram/a/jTQxJvDxmVbMCx48PKVxdYN/?format=pdf&lang=en https://www.scielo.br/j/floram/a/jTQxJvDxmVbMCx48PKVxdYN/?format=pdf&lang=en BR-BrBNA 260427 20260427105943.0 eng