 This research paper examined the relationship between satellite imagery and forest biomass and carbon stocks in northeastern Madagascar. It found that texture measures derived from worldview to satellite data were better predictors of biomass and carbon stocks than spectral parameters. Additionally, it discovered that texture measures derived from the red band were most effective at estimating biomass and carbon stocks in degraded forest, while the vegetation index EVI and the texture measures of variance, mean, and correlation derived from the new coastal blue band, as well as the red band, were most effective at estimating biomass and carbon stocks in non-degraded forest. This research suggests that texture measures derived from satellite imagery are useful tools for accurately estimating biomass and carbon stocks in tropical rainforests. This article was authored by Sandra Eckert.