Click on “Download PDF” for the PDF version or on the title for the HTML version.

If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

Recent research has demonstrated the importance and practicality of using remote sensing techniques to estimate Gross Primary Production (GPP). The Caatinga comprises a huge biological diversity. However, there are few studies to identify their ability to fix carbon what make then even more necessary in the context of climate scenarios projected for the end of this century. The study objectives to compare relationship between vegetation indices: Normalized Difference Vegetation Index (NDVI) and Chorophyll Index (CI) with GPP. We used a plant canopy in a preserved area of Caatinga biome and then we calculated the vegetation indices. The results showed that CI (r2 = 0.92) has a higher correlation with GPP than NDVI (r2= 0.20). This result is an agreement with other surveys conducted recently. Then, we concluded that the rate of chlorophyll has shown to be optimal for GPP estimation.