Anais do XX Simpósio Brasileiro de Sensoriamento Remoto

Remotely Piloted Aircraft (RPA) is becoming well-known for monitoring forest restoration (FR) at the local scale while satellites monitor at the national level. The objective of this study is to evaluate the effectiveness of satellite images in upscaling FR structural parameters measured by low-cost RPA at the local level. The approach was tested in six FR projects. Linear regression with tree cover, height and density (independent variables) measured from the RPA and NDVI (dependent variable) measured from satellite imagery was used. Although the estimation of FR structural parameters via satellite images had good R$^2$adj, it was not statistically significant (p-value > 0.05) due to a lack of samples. Despite a lack of samples to prove the satellite's potential, this study contributes to future research that intends to combine RPA and orbital satellite images to upscale FR monitoring: when more RPA data becomes available, a statistically significant model may be developed.